Magnetic Resonance in the Subsurface – 5th International ... - LIAG
Magnetic Resonance in the Subsurface – 5th International ... - LIAG
Magnetic Resonance in the Subsurface – 5th International ... - LIAG
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<strong>Magnetic</strong> <strong>Resonance</strong><br />
<strong>in</strong> <strong>the</strong> <strong>Subsurface</strong><br />
5 th <strong>International</strong> Workshop<br />
on <strong>Magnetic</strong> <strong>Resonance</strong><br />
September 25 <strong>–</strong> 27, 2012<br />
Hannover, Germany<br />
Program & Abstracts
General Information<br />
Meet<strong>in</strong>g Venue<br />
The <strong>5th</strong> <strong>in</strong>ternational workshop on <strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> subsurface will be held at <strong>the</strong> Leibniz<br />
Institute for Applied Geophysics <strong>in</strong> Hannover, Germany. The auditorium is located directly beh<strong>in</strong>d <strong>the</strong><br />
entrance (<strong>in</strong>dicated by <strong>the</strong> red arrow <strong>in</strong> <strong>the</strong> picture below) <strong>in</strong> build<strong>in</strong>g part A.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
2
Poster Presentation<br />
Posters are displayed dur<strong>in</strong>g <strong>the</strong> complete conference. The poster area is side-by-side with <strong>the</strong><br />
auditorium. At <strong>the</strong> poster area <strong>the</strong> coffee breaks are located too, so <strong>the</strong>re will be room and time for<br />
discussions.<br />
Lunch<br />
Lunch is available at <strong>the</strong> GeoZentrum restaurant located <strong>in</strong> build<strong>in</strong>g part F. The restaurant operates<br />
without cash. You will need to get a Guest-Card at <strong>the</strong> entrance of <strong>the</strong> restaurant to pay for <strong>the</strong> lunch.<br />
Field Experiment<br />
A field experiment will take place on Wednesday between 16.00 and 17.30 at a test site close to <strong>the</strong><br />
conference location. Us<strong>in</strong>g <strong>the</strong> measurement equipments for Surface-NMR available at GeoZentrum<br />
Hannover, <strong>the</strong> issues of measurements and data collection will be discussed, and it will particularly be<br />
shown how Surface-NMR can be measured <strong>in</strong> urban areas.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
3
Conference Even<strong>in</strong>g<br />
The conference even<strong>in</strong>g will take place at <strong>the</strong> “Schlossküche Herrenhausen” on Wednesday 26 th start<strong>in</strong>g<br />
at 18.30. From <strong>the</strong> conference you can use <strong>the</strong> public transport of Hannover. Take <strong>the</strong> tram number 7<br />
(direction Wettbergen) until “Kröpke”, at “Kröpke” change for tram number 4 (direction Garbsen) until<br />
Herrenhäuser Gärten. From <strong>the</strong>re, it is a short distance to walk.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
4
Scientific Committee<br />
Yaramanci, Ugur Leibniz Institute for Applied Geophysics<br />
(<strong>LIAG</strong>)<br />
Müller-Petke, Mike Leibniz Institute for Applied Geophysics<br />
(<strong>LIAG</strong>)<br />
Auken, Esben Aarhus University<br />
(AU)<br />
Costabel, Stephan Federal Institute of Geosciences and<br />
Resources (BGR)<br />
Girard, Jean-Francois Bureau de recherches géologiques et<br />
m<strong>in</strong>ières (BRGM)<br />
Knight, Rosemary Stanford University<br />
(SU)<br />
Lange, Gerhard Federal Institute of Geosciences and<br />
Resources (BGR)<br />
Legtchenko, Anatoly Institute de recherche pour le<br />
development (IRD)<br />
Plata, Juan Luis Instituto Geologico y m<strong>in</strong>ero de Espana<br />
(IGME)<br />
List of Participants<br />
(Registered as with 6 th September 2012)<br />
Name First Name Affiliation Email<br />
Hannover, Germany<br />
Hannover, Germany<br />
Aarhus, Denmark<br />
Hannover, Germany<br />
Orleans, France<br />
Stanford, USA<br />
Hannover, Germany<br />
Grenoble, France<br />
Madrid, Spa<strong>in</strong><br />
Aaron Davis CSIRO aaron.davis@csiro.au<br />
Abraham Jared USGS jdabraha@usgs.gov<br />
Akca Irfan Ankara University iakca@eng.ankara.edu.tr<br />
Baofeng Tian Jil<strong>in</strong> University tianbf@jlu.edu.cn<br />
Baronc<strong>in</strong>i Turricchia Guido ITC-Twente University coprolog@yahoo.com<br />
Basokur Ahmet Tugrul Ankara University basokur@ankara.edu.tr<br />
Behroozmand Ahmad A. Aarhus University ahmad@geo.au.dk<br />
Bernard Jean Iris-Instruments iris@iris-<strong>in</strong>struments.com<br />
Boucher Marie IRD marie.boucher@ird.fr<br />
Chevalier Anto<strong>in</strong>e UJF anto<strong>in</strong>e.chevalier@ujfgrenoble.fr<br />
Chuandong Jiang Jil<strong>in</strong> University willianjcd@yahoo.com.cn<br />
Costabel Stephan BGR stephan.costabel@bgr.de<br />
Dalgaard Esben Aarhus University esben.dalgaard@geo.au.dk<br />
David Oliver Walsh David Vista-Clara davewalsh@vista-clara.com<br />
Dlubac Ka<strong>the</strong>r<strong>in</strong>e University Stanford kdlubac@stanford.edu<br />
Dlugosch Raphael <strong>LIAG</strong> raphael.dlugosch@liaghannover.de<br />
Esben Auken Aarhus University esben.auken@geo.au.dk<br />
Felix Rubio University Madrid fm.rubio@igme.es<br />
Francés Ala<strong>in</strong> Pascal ITC frances08512@itc.nl<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
5
Girard Jean-Francois BRGM jf.girard@brgm.fr<br />
Grombacher Denys University Stanford denysg@stanford.edu<br />
Grunewald Elliot Vista-Clara elliot@vista-clara.com<br />
Gün<strong>the</strong>r Thomas <strong>LIAG</strong> thomas.guen<strong>the</strong>r@liaghannover.de<br />
Hagensen Tom Feldberg Danish M<strong>in</strong>istry of <strong>the</strong><br />
Environment<br />
tofha@nst.dk<br />
Huangjian Wu University Wuhan kdjf_025@126.com<br />
Irons Trevor USGS tirons@usgs.gov<br />
Jun L<strong>in</strong> Jil<strong>in</strong> University L<strong>in</strong>_jun@jlu.edu.cn<br />
Keat<strong>in</strong>g Krist<strong>in</strong>a Rutgers University kmkeat@andromeda.rutgers.e<br />
du<br />
Knight Rosemary University Stanford rknight@stanford.edu<br />
Kuschel Lars BLM kuschel@blm-storkow.de<br />
Larsen Jakob Juul Aarhus University jjl@iha.dk<br />
Legchenko Anatoly IRD / LTHE anatoli.legtchenko@ird.fr<br />
Leite Orlando Iris-Instruments iris@iris-<strong>in</strong>struments.com<br />
Lubczynski Maciek ITC lubczynski@itc.nl<br />
Macnae James CSIRO james.macnae@rmit.edu.au<br />
Mavrommatis Andreas University Stanford andreasm@stanford.edu<br />
Mazzilli Naomi Université Montpellier mazzilli@msem.univmontp2.fr<br />
McDowell Andrew ABQMR mcdowell@abqmr.com<br />
Müller-Petke Mike <strong>LIAG</strong> mike.mueller-petke@liaghannover.de<br />
Nils Perttu Nils Luleå University of<br />
Technology<br />
nils.perttu@ltu.se<br />
Plata Juan University Madrid jl.plata@igme.es<br />
Q<strong>in</strong>gm<strong>in</strong>g Duan Jil<strong>in</strong> University duanqm@jlu.edu.cn<br />
Radic T<strong>in</strong>o Berl<strong>in</strong> radic@radic-research.de<br />
Ronczka Mathias <strong>LIAG</strong> mathias.ronczka@liaghannover.de<br />
Roy Jean ITC jeanroy_igp@videotron.ca<br />
Ryom Nielsen Mette Rambøll A/S mrn@ramboll.dk<br />
Seibertz Klodwig Universität Halle klodwig.seibertz@student.unihalle.de<br />
Shengwu Q<strong>in</strong> Jil<strong>in</strong> University q<strong>in</strong>sw@jlu.edu.cn<br />
Shu-q<strong>in</strong> Sun Jil<strong>in</strong> University sunsq@jlu.edu.cn<br />
Shushakov Oleg Institute of Chemical<br />
K<strong>in</strong>etics and Combustion<br />
SB RAS<br />
shushako@k<strong>in</strong>etics.nsc.ru<br />
Soltani Rafik University Beij<strong>in</strong>g rafiksoltani2008@gmail.com<br />
Texier Benoit Iris-Instruments iris@iris-<strong>in</strong>struments.com<br />
Tie-hu Fan Jil<strong>in</strong> University fth@jlu.edu.cn<br />
T<strong>in</strong>gt<strong>in</strong>g L<strong>in</strong> Jil<strong>in</strong> University ttl<strong>in</strong>@jlu.edu.cn<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
6
Toke Højbjerg Nielsen Toke Højbjerg Aarhus University t.hojbjerg@gmail.com<br />
Troels Norv<strong>in</strong> Vilhelmsen Aarhus University troels.norv<strong>in</strong>@geo.au.dk<br />
Vermeersch Fabrice Iris-Instruments iris@iris-<strong>in</strong>struments.com<br />
Vouillamoz Jean-Michel Cotonou, Ben<strong>in</strong> jean-michel.vouillamoz@ird.fr<br />
Walbrecker Jan University Stanford jan.walbrecker@stanford.edu<br />
Xiaofeng Yi Jil<strong>in</strong> University Yixiaofeng1985@126.com<br />
Yaramanci Ugur <strong>LIAG</strong> ugur.yaramanci@liaghannover.de<br />
Special Issue Publication<br />
There will be a special issue <strong>in</strong> “Near Surface Geophysics”, Journal of <strong>the</strong> European Association of<br />
Geoscientists & Eng<strong>in</strong>eers.<br />
This way, <strong>the</strong> tradition of <strong>the</strong> <strong>Magnetic</strong> <strong>Resonance</strong> workshops to produce a follow up peer review<br />
document will be cont<strong>in</strong>ued. Details of previous special issues can be found at:<br />
http://www.mrs2012.org/<br />
Participants are asked and encouraged to submit full papers derived from <strong>the</strong>ir workshop<br />
contributions. As usual, <strong>the</strong>se will be subject to peer review<strong>in</strong>g by support of scientific<br />
committee of <strong>the</strong> workshop.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
7
Scientific Program<br />
Tuesday, September 2<strong>5th</strong><br />
14.00 - 14.30 Open<strong>in</strong>g Session<br />
14.30 - 15.30 Measurement Technology 1<br />
Title Speaker<br />
14.30 - 14.50 Novel Surface-NMR Pulse Sequences for Improved<br />
Estimation of Relaxation Times and Hydrogeologic<br />
Properties<br />
14.50 - 15.10 Design and Experimental study of Small MRS<br />
Antenna for Underground Applications<br />
Grunewald<br />
Xiaofeng<br />
15.10 - 15.30 Detection Coils for Near-Surface Earth’s Field NMR McDowell<br />
15.30 - 16.00 Coffee Break<br />
16.00 - 17.20 Measurement Technology 2<br />
16.00 - 16.20 Quantify<strong>in</strong>g Background <strong>Magnetic</strong> Field<br />
Inhomogeneity Us<strong>in</strong>g Composite Pulses:<br />
Estimat<strong>in</strong>g T2 from T2* by Correct<strong>in</strong>g for Static<br />
Dephas<strong>in</strong>g<br />
Grombacher<br />
16.20 - 16.40 Modell<strong>in</strong>g NMR signal for compact sensors Davis<br />
16.40 - 17.00 3 component NMR with NMARMIT sensors Macnae<br />
17.00 - 17.20 Development of a novel MRS-TEM comb<strong>in</strong>ed<br />
<strong>in</strong>strument for improv<strong>in</strong>g MRS capacity <strong>in</strong><br />
groundwater <strong>in</strong>vestigations<br />
Wednesday, September 26th<br />
8.40 - 10.00 Signal Process<strong>in</strong>g<br />
8.40 - 9.00 Optimized Wiener filter<strong>in</strong>g with <strong>the</strong> Numis Poly<br />
system<br />
9.00 - 9.20 Model-based cancell<strong>in</strong>g of powerl<strong>in</strong>e harmonics<br />
<strong>in</strong> multichannel MRS record<strong>in</strong>gs<br />
9.20 - 9.40 Jo<strong>in</strong>t use of adaptive notch filter and empirical<br />
mode decomposition for noise cancellation<br />
applied to MRS<br />
Modell<strong>in</strong>g and Inversion 1<br />
9.40 - 10.00 The case for comprehensive frequency-doma<strong>in</strong><br />
<strong>in</strong>version of surface NMR data<br />
T<strong>in</strong>g-T<strong>in</strong>g<br />
Dalgaard<br />
Larsen<br />
Baofeng<br />
Irons<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
8
10.00 - 10.50 Coffee Break & Poster Session<br />
10.50 - 11.10 Inversion of T1 relaxation times based on pcPSR<br />
measurements - Syn<strong>the</strong>tic examples<br />
11.10 - 11.30 Inversion of surface-NMR T1 data: results from<br />
two field sites with reference to borehole logg<strong>in</strong>g<br />
Müller-Petke<br />
Walbrecker<br />
11.30 - 11.50 Earth's magnetic field and MRS phase shift Legchenko<br />
11.50 - 12.10 Bloch-Siegert effect <strong>in</strong> MRS Shushakov<br />
Case Studies 1<br />
12.10 - 12.30 Exploit<strong>in</strong>g <strong>the</strong> phase <strong>in</strong>formation: examples from<br />
<strong>the</strong> Ne<strong>the</strong>rlands<br />
12.30 - 14.00 Lunch<br />
14.00 - 15.40<br />
14.00 - 14.20 MRS and electrical prospection <strong>in</strong> <strong>the</strong> context of<br />
wea<strong>the</strong>red peridotite rocks <strong>in</strong> <strong>the</strong> South of New<br />
Caledonia<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
Roy<br />
Girard<br />
14.20 - 14.40 MRS and Borehole Correlation <strong>in</strong> Denmark Nielsen<br />
14.40 - 15.00 Implementation of MRS <strong>in</strong> <strong>the</strong> Danish National<br />
Groundwater management<br />
15.00 - 15.20 MRS study of water content variations <strong>in</strong> <strong>the</strong><br />
unsaturated zone of a karst aquifer (sou<strong>the</strong>rn<br />
France)<br />
15.20 - 15.40 Research on Gush<strong>in</strong>g Disaster Detection <strong>in</strong><br />
Tunnel with <strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g<br />
15.40 - 16.00 Coffee Break<br />
16.00 Field Experiment<br />
18.30 Conference Even<strong>in</strong>g<br />
Thursday, September 27th<br />
8.40 - 12.30 Modell<strong>in</strong>g and Inversion 2<br />
8.40 - 9.00 2D Cell Inversion for <strong>Magnetic</strong> <strong>Resonance</strong><br />
Tomography us<strong>in</strong>g JLMRS-Array Instrument<br />
9.00 - 9.20 2D qt-<strong>in</strong>version to <strong>in</strong>vestigate spatial variations<br />
of hydraulic conductivity us<strong>in</strong>g SNMR<br />
9.20 - 9.40 Locat<strong>in</strong>g a karst conduit with 2D Monte Carlo<br />
<strong>in</strong>version of magnetic resonance measurements<br />
9.40 - 10.00 A comprehensive study of <strong>the</strong> parameter<br />
determ<strong>in</strong>ation <strong>in</strong> a jo<strong>in</strong>t MRS and TEM data<br />
analysis scheme<br />
Feldberg Hagensen<br />
Mazzilli<br />
Shengwu<br />
Chuandong<br />
Dlugosch<br />
Chevalier<br />
Behroozmand<br />
9
10.00 - 10.50 Coffee Break & Poster Session<br />
10.50 - 11.10 Hybrid and multi-objective genetic algorithm<br />
applications <strong>in</strong> MRS data <strong>in</strong>version<br />
Advances <strong>in</strong> hydrological parameterization 1<br />
11.10 - 11.30 Recent advancements <strong>in</strong> NMR for characteriz<strong>in</strong>g<br />
<strong>the</strong> vadose zone<br />
11.30 - 11.50 Direct <strong>in</strong>version for water retention parameters<br />
from MRS measurements <strong>in</strong> <strong>the</strong><br />
saturated/unsaturated zone <strong>–</strong> a sensitivity study<br />
11.50 - 12.10 MRS subsurface parametrization for coupled<br />
hydrological Marmites model<br />
12.10 - 12.30 An efficient full coupled <strong>in</strong>version of aquifer<br />
test, MRS and TEM data<br />
12.30 - 14.00 Lunch<br />
14.00 - 17.20 Advances <strong>in</strong> hydrological parameterization 2<br />
14.00 - 14.20 The <strong>in</strong>tegration of logg<strong>in</strong>g and surface NMR for<br />
mapp<strong>in</strong>g spatial variation <strong>in</strong> hydraulic<br />
conductivity<br />
14.20 - 14.40 Hard rock hydrogeophysics applied to<br />
hydrological model parameterization - Sardón<br />
catchment case study (Salamanca, Spa<strong>in</strong>)<br />
14.40 - 15.00 A laboratory study to determ<strong>in</strong>e <strong>the</strong> effect of<br />
surface roughness and gra<strong>in</strong> diameter on NMR<br />
relaxation rates of glass bead packs.<br />
15.00 - 15.20 A numerical study of <strong>the</strong> relationship between<br />
NMR relaxation and permeability <strong>in</strong> materials<br />
with large pores<br />
15.20 - 15.40 Coffee Break<br />
Case Studies 2<br />
15.40 - 16.00 NMR Logg<strong>in</strong>g: A tool for quantify<strong>in</strong>g effective<br />
porosity and hydraulic conductivity with<strong>in</strong> <strong>the</strong><br />
Murray Darl<strong>in</strong>g Bas<strong>in</strong> of Australia<br />
16.00 - 16.20 Feasibility study of <strong>the</strong> MRS monitor<strong>in</strong>g <strong>in</strong> a 3D<br />
hydrogeological structure: aquifer recharge<br />
from a pond <strong>in</strong> <strong>the</strong> Sahel (Niger)<br />
16.20 - 16.40 Investigat<strong>in</strong>g hydraulic properties of a glacial<br />
sand deposit <strong>in</strong> <strong>the</strong> north of Sweden<br />
16.40 - 17.00 Estmat<strong>in</strong>g regional groundwater reserve <strong>in</strong> a<br />
clayey sandstone aquifer of Cambodia<br />
17.00 - 17.20 The Applications of MRS for detection of<br />
Groundwater-<strong>in</strong>duced disasters , <strong>in</strong> Ch<strong>in</strong>a<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
Akca<br />
Walsh<br />
Costabel<br />
Baronc<strong>in</strong>i-<br />
Turricchia<br />
Vilhelmsen<br />
Knight<br />
Francés<br />
Keat<strong>in</strong>g<br />
Dlubac<br />
Abraham<br />
Boucher<br />
Pertuu<br />
Vouillamoz<br />
Jun<br />
10
Poster<br />
Measurement Technology Poster<br />
Aquater MRS <strong>in</strong>strument Shushakov<br />
Signal Process<strong>in</strong>g Poster<br />
Higher-Order Statistical Signal Process<strong>in</strong>g for Surface-NMR<br />
Electronic Instruments<br />
MRS noise <strong>in</strong>vestigations with focus on optimiz<strong>in</strong>g <strong>the</strong><br />
measurement setup <strong>in</strong> <strong>the</strong> field<br />
Soltani<br />
Costabel<br />
A comparison of harmonic noise cancellation concepts Müller-Petke<br />
Identification and elim<strong>in</strong>ation of spiky noise features <strong>in</strong> MRS<br />
data<br />
Modell<strong>in</strong>g and Inversion Poster<br />
Costabel<br />
Experimental verification of a 3D model for MRS Legchenko<br />
MRSMatlab <strong>–</strong> a toolbox for model<strong>in</strong>g, process<strong>in</strong>g, and <strong>in</strong>vert<strong>in</strong>g<br />
surface-NMR data<br />
Comparison of borehole and surface NMR-<strong>in</strong>ferred water<br />
content profiles<br />
Müller-Petke<br />
Mavrommatis<br />
Study on Factors Affect<strong>in</strong>g SNMR Vertical and Lateral Resolution Yan<br />
Research<strong>in</strong>g vertical resolution of SNMR by us<strong>in</strong>g numerical<br />
simulation<br />
Advances <strong>in</strong> hydrological parametrization Poster<br />
Research and Practice of <strong>the</strong> Relationship between<br />
MRS Inversion Parameters and <strong>the</strong> Water Yield<br />
Quantitative aquifer system characterization on Borkum island<br />
us<strong>in</strong>g jo<strong>in</strong>t <strong>in</strong>version of MRS and VES data<br />
A general model for predict<strong>in</strong>g hydraulic conductivity of<br />
unconsolidated material us<strong>in</strong>g nuclear magnetic resonance<br />
Case Studies Poster<br />
Case studies of <strong>the</strong> MRS method <strong>in</strong> various geological<br />
backgrounds<br />
Usage of <strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g (MRS) for atta<strong>in</strong><strong>in</strong>g<br />
hydrogeological profiles (Havelland, Brandenburg)<br />
Assessment of <strong>the</strong> use of surface NMR to detect <strong>in</strong>ternal<br />
erosion and pip<strong>in</strong>g <strong>in</strong> ear<strong>the</strong>n embankments<br />
Characteristics and Examples of MRS Signals <strong>in</strong> Good Conductive<br />
Areas<br />
The Experimental Study of MRS Method <strong>in</strong> Plateau Permafrost<br />
Region<br />
Jo<strong>in</strong>t use of MRS and TDEM for characteriz<strong>in</strong>g groundwater<br />
recharge <strong>in</strong> <strong>the</strong> Lake Chad bas<strong>in</strong><br />
Calibration MRS Hydrodynamic Parameters Measurements from<br />
Pump<strong>in</strong>g Tests <strong>in</strong> Inner-Mongollia of Ch<strong>in</strong>a<br />
Application of surface-NMR to study unfrozen sediments below<br />
lakes <strong>in</strong> permafrost regions<br />
Surface NMR applied to determ<strong>in</strong><strong>in</strong>g aquifer properties <strong>in</strong> <strong>the</strong><br />
Central Platte River, central Nebraska<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
Peng<br />
Wang<br />
Gün<strong>the</strong>r<br />
Dlugosch<br />
Bernard<br />
Seibertz<br />
Irons<br />
Wang<br />
Zhang<br />
Boucher<br />
Sun<br />
Parsekian<br />
Abraham<br />
11
Abstracts<br />
Content<br />
Measurement Technology ....................................................................................................... 15<br />
Novel Surface-NMR Pulse Sequences for Improved Estimation of Relaxation Times and Hydrogeologic<br />
Properties .................................................................................................................................................... 16<br />
Design and Experimental study of Small MRS Antenna for Underground Applications ............................. 17<br />
Detection Coils for Near-Surface Earth’s Field NMR ................................................................................... 18<br />
Quantify<strong>in</strong>g Background <strong>Magnetic</strong> Field Inhomogeneity Us<strong>in</strong>g Composite Pulses: Estimat<strong>in</strong>g T2 from T2*<br />
by Correct<strong>in</strong>g for Static Dephas<strong>in</strong>g .............................................................................................................. 19<br />
Modell<strong>in</strong>g NMR signal for compact sensors ................................................................................................ 20<br />
3 component NMR with NMARMIT sensors ............................................................................................... 21<br />
Development of a novel MRS-TEM comb<strong>in</strong>ed <strong>in</strong>strument for improv<strong>in</strong>g MRS capacity <strong>in</strong> groundwater<br />
<strong>in</strong>vestigations .............................................................................................................................................. 22<br />
Aquater MRS <strong>in</strong>strument............................................................................................................................. 23<br />
One-Dimensional Theoretical Research on MRS Excited by F<strong>in</strong>ite Current Wire ....................................... 24<br />
Signal Process<strong>in</strong>g ............................................................................................................................. 25<br />
Optimized Wiener filter<strong>in</strong>g with <strong>the</strong> Numis Poly system ............................................................................ 26<br />
Model-based cancell<strong>in</strong>g of powerl<strong>in</strong>e harmonics <strong>in</strong> multichannel MRS record<strong>in</strong>gs ................................... 27<br />
Jo<strong>in</strong>t use of adaptive notch filter and empirical mode decomposition for noise cancellation applied to<br />
MRS ............................................................................................................................................................. 28<br />
Higher-Order Statistical Signal Process<strong>in</strong>g for Surface-NMR Electronic Instruments ................................. 29<br />
Identification and elim<strong>in</strong>ation of spiky noise features <strong>in</strong> MRS data ........................................................... 30<br />
MRS noise <strong>in</strong>vestigations with focus on optimiz<strong>in</strong>g <strong>the</strong> measurement setup <strong>in</strong> <strong>the</strong> field .......................... 31<br />
A comparison of harmonic noise cancellation concepts ............................................................................. 32<br />
Model<strong>in</strong>g and Inversion ............................................................................................................. 33<br />
The case for comprehensive frequency-doma<strong>in</strong> <strong>in</strong>version of surface NMR data ....................................... 34<br />
Inversion of T1 relaxation times based on pcPSR measurements - Syn<strong>the</strong>tic examples ............................ 35<br />
Inversion of surface-NMR T1 data: results from two field sites with reference to borehole logg<strong>in</strong>g ......... 36<br />
Earth's magnetic field and MRS phase shift ................................................................................................ 37<br />
Bloch-Siegert effect <strong>in</strong> MRS ......................................................................................................................... 38<br />
2D Cell Inversion for <strong>Magnetic</strong> <strong>Resonance</strong> Tomography us<strong>in</strong>g JLMRS-Array Instrument .......................... 39<br />
2D qt-<strong>in</strong>version to <strong>in</strong>vestigate spatial variations of hydraulic conductivity us<strong>in</strong>g SNMR ............................ 40<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
12
Locat<strong>in</strong>g a karst conduit with 2D Monte Carlo <strong>in</strong>version of magnetic resonance measurements ............. 41<br />
A comprehensive study of <strong>the</strong> parameter determ<strong>in</strong>ation <strong>in</strong> a jo<strong>in</strong>t MRS and TEM data analysis scheme. 42<br />
Hybrid and multi-objective genetic algorithm applications <strong>in</strong> MRS data <strong>in</strong>version .................................... 43<br />
Experimental verification of a 3D model for MRS ....................................................................................... 44<br />
Comparison of borehole and surface NMR-<strong>in</strong>ferred water content profiles.............................................. 45<br />
MRSMatlab <strong>–</strong> a toolbox for model<strong>in</strong>g, process<strong>in</strong>g, and <strong>in</strong>vert<strong>in</strong>g surface-NMR data ................................ 46<br />
Research<strong>in</strong>g vertical resolution of SNMR by us<strong>in</strong>g numerical simulation ................................................... 47<br />
Study on Factors Affect<strong>in</strong>g SNMR Vertical and Lateral Resolution ............................................................. 48<br />
Advances <strong>in</strong> hydrological parameterization................................................................. 49<br />
Recent advancements <strong>in</strong> NMR for characteriz<strong>in</strong>g <strong>the</strong> vadose zone ........................................................... 50<br />
Direct <strong>in</strong>version for water retention parameters from MRS mea-surements <strong>in</strong> <strong>the</strong> saturated/unsaturated<br />
zone <strong>–</strong> a sensitivity study ............................................................................................................................ 51<br />
MRS subsurface parametrization for coupled hydrological Marmites model ............................................ 52<br />
An efficient full coupled <strong>in</strong>version of aquifer test, MRS and TEM data ...................................................... 53<br />
The <strong>in</strong>tegration of logg<strong>in</strong>g and surface NMR for mapp<strong>in</strong>g spatial variation <strong>in</strong> hydraulic conductivity ...... 54<br />
Hard rock hydrogeophysics applied to hydrological model parameterization - Sardón catchment case<br />
study (Salamanca, Spa<strong>in</strong>)............................................................................................................................. 55<br />
A laboratory study to determ<strong>in</strong>e <strong>the</strong> effect of surface roughness and gra<strong>in</strong> diameter on NMR relaxation<br />
rates of glass bead packs. ............................................................................................................................ 57<br />
A numerical study of <strong>the</strong> relationship between NMR relaxation and permeability <strong>in</strong> materials with large<br />
pores ............................................................................................................................................................ 58<br />
A general model for predict<strong>in</strong>g hydraulic conductivity of unconsolidated material us<strong>in</strong>g nuclear magnetic<br />
resonance .................................................................................................................................................... 59<br />
Quantitative aquifer system characterization on Borkum island us<strong>in</strong>g jo<strong>in</strong>t <strong>in</strong>version of MRS and VES data<br />
..................................................................................................................................................................... 60<br />
Research and Practice of <strong>the</strong> Relationship between MRS Inversion Parameters and <strong>the</strong> Water Yield ...... 61<br />
Case studies ........................................................................................................................................ 62<br />
Exploit<strong>in</strong>g <strong>the</strong> phase <strong>in</strong>formation: examples from <strong>the</strong> Ne<strong>the</strong>rlands ........................................................... 63<br />
MRS and electrical prospection <strong>in</strong> <strong>the</strong> context of wea<strong>the</strong>red peridotite rocks <strong>in</strong> <strong>the</strong> South of New<br />
Caledonia. .................................................................................................................................................... 64<br />
MRS and borehole correlation <strong>in</strong> Denmark................................................................................................. 65<br />
Implementation of MRS <strong>in</strong> <strong>the</strong> Danish National Groundwater management ............................................ 66<br />
Feasibility study of <strong>the</strong> MRS monitor<strong>in</strong>g <strong>in</strong> a 3D hydrogeological structure: aquifer recharge from a pond<br />
<strong>in</strong> <strong>the</strong> Sahel (Niger) ...................................................................................................................................... 67<br />
Research on Gush<strong>in</strong>g Disaster Detection <strong>in</strong> Tunnel with <strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g ......................... 68<br />
NMR Logg<strong>in</strong>g: A tool for quantify<strong>in</strong>g effective porosity and hydraulic conductivity with<strong>in</strong> <strong>the</strong> Murray<br />
Darl<strong>in</strong>g Bas<strong>in</strong> of Australia ............................................................................................................................ 69<br />
MRS study of water content variations <strong>in</strong> <strong>the</strong> unsaturated zone of a karst aquifer (sou<strong>the</strong>rn France) ..... 70<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
13
Investigat<strong>in</strong>g hydraulic properties of a glacial sand deposit <strong>in</strong> <strong>the</strong> north of Sweden ................................. 71<br />
Estmat<strong>in</strong>g regional groundwater reserve <strong>in</strong> a clayey sandstone aquifer of Cambodia. ............................. 72<br />
Application of underground magnetic resonance sound<strong>in</strong>g on advanced detection water-<strong>in</strong>duced disaster<br />
<strong>in</strong> 3D structure ............................................................................................................................................. 73<br />
Surface NMR applied to determ<strong>in</strong><strong>in</strong>g aquifer properties <strong>in</strong> <strong>the</strong> Central Platte River, central Nebraska .... 74<br />
Case studies of <strong>the</strong> MRS method <strong>in</strong> various geological backgrounds ......................................................... 75<br />
Jo<strong>in</strong>t use of MRS and TDEM for characteriz<strong>in</strong>g groundwater recharge <strong>in</strong> <strong>the</strong> Lake Chad bas<strong>in</strong> ................. 76<br />
Assessment of <strong>the</strong> use of surface NMR to detect <strong>in</strong>ternal erosion and pip<strong>in</strong>g <strong>in</strong> ear<strong>the</strong>n embankments . 77<br />
The Applications of MRS for detection of Groundwater-<strong>in</strong>duced disasters , <strong>in</strong> Ch<strong>in</strong>a ............................... 78<br />
Application of surface-NMR to study unfrozen sediments below lakes <strong>in</strong> permafrost regions ................. 79<br />
Usage of <strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g (MRS) for atta<strong>in</strong><strong>in</strong>g hydrogeological profiles (Havelland,<br />
Brandenburg) .............................................................................................................................................. 80<br />
Calibration MRS Hydrodynamic Parameters Measurements from Pump<strong>in</strong>g Tests <strong>in</strong> Inner-Mongollia of<br />
Ch<strong>in</strong>a ............................................................................................................................................................ 81<br />
Characteristics and Examples of MRS Signals <strong>in</strong> Good Conductive Areas .................................................. 82<br />
The Experimental Study of MRS Method <strong>in</strong> Plateau Permafrost Region .................................................... 83<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
14
Measurement Technology<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
15
Novel Surface-NMR Pulse Sequences for Improved Estimation of Relaxation Times and<br />
Hydrogeologic Properties<br />
Novel Surface-NMR Pulse Sequences for Improved Estimation of Relaxation<br />
Times and Hydrogeologic Properties<br />
Elliot Grunewald and David Walsh<br />
Vista Clara, Inc., Mukilteo, Wash<strong>in</strong>gton, USA<br />
elliot@vista-clara.com<br />
Deriv<strong>in</strong>g robust estimates of hydrogeologic<br />
properties from NMR methods requires <strong>the</strong><br />
ability to accurately measure relaxation times<br />
that are sensitive to aquifer properties. While<br />
conventional surface-NMR (SNMR) free<strong>in</strong>duction<br />
decay (FID) methods reliably<br />
measure <strong>the</strong> effective transverse T2* relaxation<br />
time, this parameter is often dom<strong>in</strong>ated by<br />
<strong>in</strong>fluences from magnetic geology. The<br />
longitud<strong>in</strong>al T1 and transverse T2 relaxation<br />
times are known to exhibit more robust l<strong>in</strong>ks to<br />
permeability, but proposed approaches to<br />
measur<strong>in</strong>g <strong>the</strong>se parameters have shown<br />
considerable limitations. For example, <strong>the</strong><br />
pseudo-saturation-recovery (PSR) experiment<br />
for assess<strong>in</strong>g T1 yields a challeng<strong>in</strong>g and nonl<strong>in</strong>ear<br />
<strong>in</strong>version kernel, while <strong>the</strong> Hahn-sp<strong>in</strong>echo<br />
(HSE) for measur<strong>in</strong>g T2 is often still<br />
corrupted by magnetic <strong>in</strong>fluences. Recogniz<strong>in</strong>g<br />
<strong>the</strong>se limitations, we have developed new<br />
paradigms for pulse sequences to quantify T1<br />
and T2. A new “crush-recovery” (CR)<br />
sequence for measur<strong>in</strong>g T1 utilizes two pulses:<br />
a first “crush<strong>in</strong>g” pulse of fixed amplitude and<br />
a second, smaller “depth-profil<strong>in</strong>g” pulse with<br />
an amplitude varied between measurements.<br />
The first pulse does not generate true<br />
saturation (i.e., 90 o tip angles); ra<strong>the</strong>r, this<br />
<strong>in</strong>itial pulse acts to decoherently scatter <strong>the</strong><br />
magnetization spatially leav<strong>in</strong>g an effective<br />
saturated condition of zero net longitud<strong>in</strong>al<br />
magnetization over a range of shallow to<br />
<strong>in</strong>termediate depths. The second pulse, applied<br />
after a short delay, is used to profile, as a<br />
function of depth, <strong>the</strong> magnetization that<br />
recovers by T1 with<strong>in</strong> this crushed zone. The<br />
CR approach has many advantages to <strong>the</strong> PSR,<br />
as we demonstrate <strong>in</strong> syn<strong>the</strong>tic and real field<br />
experiments. A fixed amplitude for <strong>the</strong><br />
crush<strong>in</strong>g pulse provides constant <strong>in</strong>itial<br />
conditions, so signals recorded after <strong>the</strong> second<br />
pulse can be <strong>in</strong>verted us<strong>in</strong>g <strong>the</strong> standard<br />
SNMR imag<strong>in</strong>g kernel. Given a complete CR<br />
data set acquired for multiple delay times, <strong>the</strong><br />
<strong>in</strong>version yields both T1 and T2* as a function<br />
of depth. Fur<strong>the</strong>r, unique expression of <strong>the</strong><br />
covariance of <strong>the</strong>se times is exploited to obta<strong>in</strong><br />
2D T1-T2* mapped distributions. The CR<br />
approach, however, does share some common<br />
limitations with all previously demonstrated<br />
SNMR pulse sequences. Specifically, <strong>the</strong><br />
duration of <strong>the</strong> recorded signals are<br />
fundamentally constra<strong>in</strong>ed by <strong>the</strong> duration of<br />
T2*, and all double-pulse sequences for T1 or<br />
T2 require repeated experiments with varied<br />
<strong>in</strong>terpulse delay times. Ultimately, <strong>the</strong>se<br />
factors result <strong>in</strong> very long acquisition times,<br />
especially for conditions of low SNR and short<br />
T2*. We overcome all <strong>the</strong>se limitations with<br />
<strong>the</strong> first-ever development and field<br />
demonstration of a SNMR CPMG sequence.<br />
As <strong>in</strong> borehole CPMG measurements, this new<br />
approach uses a tra<strong>in</strong> of N appropriately phasecycled<br />
pulses to produce a tra<strong>in</strong> of N-1 echoes<br />
<strong>in</strong> a s<strong>in</strong>gle record. We present real CPMG<br />
field data, <strong>in</strong>clud<strong>in</strong>g one dataset <strong>in</strong> which six<br />
echoes are recorded a s<strong>in</strong>gle one-second long<br />
measurement. These data yield robust<br />
determ<strong>in</strong>ation of T2 versus depth <strong>in</strong> greatly<br />
reduced acquistion times and with limited<br />
sensitivity to magnetic geology that may<br />
potentially be used to probe fluid diffusion<br />
dynamics. These developments and cont<strong>in</strong>ued<br />
advancements <strong>in</strong> pulse sequences will provide<br />
substantial improvements <strong>in</strong> groundwater<br />
characterization by non-<strong>in</strong>vasive SNMR.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
16
Design and Experimental study of Small MRS Antenna for Underground Applications<br />
Design and Experimental study of Small MRS Antenna for Underground<br />
Applications<br />
Yi Xiaofeng, L<strong>in</strong> Jun, Duan Q<strong>in</strong>gm<strong>in</strong>g, Wang Y<strong>in</strong>gji, Fan Tiehu<br />
College of Instrumentation and Electrical Eng<strong>in</strong>eer<strong>in</strong>g / Key laboratory of Geo-exploration Instrumentation, M<strong>in</strong>istry of<br />
Education, Jil<strong>in</strong> University, Jil<strong>in</strong> 130061,Ch<strong>in</strong>a<br />
L<strong>in</strong>_jun@jlu.edu.cn; Yixiaofeng1985@126.com<br />
Tunnel traffic, coal m<strong>in</strong><strong>in</strong>g or o<strong>the</strong>r<br />
underground facilities constructions would<br />
<strong>in</strong>duce , water <strong>in</strong>rush, gush<strong>in</strong>g mud or collapse<br />
water disease problem. This worldwide crisis<br />
could cause serious accidents, and even<br />
catastrophic consequences. By restriction of<br />
complex geology and hydrology condition, <strong>the</strong><br />
traditional methods, such as TSP, TRT, TST<br />
and TEM cannot directly detect <strong>the</strong> water<br />
disaster because of its own pr<strong>in</strong>ciple limit.<br />
MRS technology as a direct detection method<br />
for water plays an important role on<br />
groundwater eng<strong>in</strong>eer<strong>in</strong>g. As MRS signal is<br />
produced uniquely by water, multiplicity of<br />
solutions can not exist. And its measurement<br />
process has advantages of high speed, high<br />
accuracy, abundant <strong>in</strong>formation and can<br />
<strong>in</strong>dicate <strong>the</strong> water burst<strong>in</strong>g accident type,<br />
enabl<strong>in</strong>g this method has a good development<br />
prospect <strong>in</strong> underground disaster water<br />
forecast .<br />
To date, <strong>the</strong> research of small coil for MRS<br />
just beg<strong>in</strong>s. Jesus Diaz-Curiel etc have used an<br />
octagon coil with side of 6 meter or 10 meter<br />
to detect shallow and very shallow<br />
groundwater. However <strong>the</strong> coil diameter is not<br />
small enough for most of <strong>the</strong> underground<br />
cases. J.M. Greben etc have used 2 meter<br />
square coil for advanced detection water <strong>in</strong><br />
m<strong>in</strong>e, unfortunately because of some<br />
conditions restrict, this coil did not receive<br />
MRS signal. Based on <strong>the</strong> above researches, a<br />
design and optimization method for MRS<br />
detection antenna apply<strong>in</strong>g for <strong>the</strong> demarcate<br />
space as tunnel and m<strong>in</strong><strong>in</strong>g is <strong>in</strong>troduced <strong>in</strong> this<br />
paper. By improv<strong>in</strong>g <strong>the</strong> property parameters<br />
of coil, we could enhance <strong>the</strong> received ability<br />
of small MRS antenna and streng<strong>the</strong>n <strong>the</strong><br />
magnetic field. The improved equipment has<br />
been used to field measurement on a<br />
simulation site, and <strong>the</strong> results prove <strong>the</strong><br />
validity of small MRS antenna design method.<br />
As <strong>the</strong> transimtter and receiver coils are<br />
separated, <strong>the</strong>y are designed <strong>in</strong>dependently to<br />
satisfy <strong>in</strong>dividual requirements <strong>in</strong> fur<strong>the</strong>st. For<br />
design of receiver coil, us<strong>in</strong>g <strong>the</strong> unique<br />
multilayer coil enw<strong>in</strong>d<strong>in</strong>g form can reduce <strong>the</strong><br />
coil impedance parameters and improve <strong>the</strong><br />
coil transfer characteristics. The simulation<br />
tests confirmed that this method can make <strong>the</strong><br />
transfer coefficient <strong>in</strong>creases to 7.2 and 4.6 for<br />
a coil with diameter of 6 meter and 2 meter,<br />
respectively, which meets <strong>the</strong> requirements of<br />
MRS signal receiver <strong>in</strong> tunnel or m<strong>in</strong>e. For<br />
design of transimitter coil, a transimitter<br />
system is constructed of multiple layers of<br />
<strong>in</strong>dependent coil, which uses <strong>the</strong> layered driver<br />
way to streng<strong>the</strong>n small coil excitation field<br />
energy efficiency and improve <strong>the</strong> quality of<br />
transmitter waveform. The experiments<br />
confirm that <strong>the</strong> energy utilization ratio for a<br />
coil of 6 meter diameter is improved from 0.35<br />
to 0.57, rectangular coefficient reaches 0.85<br />
and t for a coil of 2 meter diameter, <strong>the</strong> energy<br />
utilization ratio is improved from 0.24 to 0.49,<br />
rectangular coefficient reaches 0.78.<br />
Base on <strong>the</strong> commercial JLMRS-I <strong>in</strong>strument<br />
we improved and optimize <strong>the</strong> measurement<br />
system. A field test <strong>in</strong> Changchun, has <strong>the</strong>n<br />
been conducted us<strong>in</strong>g <strong>the</strong> improved apparatus..<br />
Detection results show that <strong>the</strong> coil<br />
optimization design method can get effective<br />
MRS signal from a certa<strong>in</strong> depth of<br />
groundwater. The proposed design method and<br />
conclusions provide guidance for <strong>the</strong> coil<br />
design and <strong>in</strong>strument optimal <strong>in</strong> limited<br />
measur<strong>in</strong>g space and a new possibility to<br />
expand <strong>the</strong> application range of MRS<br />
technology.<br />
References<br />
Greben J M, Meyer R, Kimmie Z. The underground<br />
application of <strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>gs[J].<br />
Journal of Applied Geophysics, 2011,75: 220-226.<br />
Jesús Díaz-Curiel, Bárbara Biosca, Lucía Arévalo,et<br />
al.Development of field techniques for improv<strong>in</strong>g<br />
MRS quality <strong>in</strong> shallow <strong>in</strong>vestigations.Near Surface<br />
Geophysics,2011,9:113-121.<br />
Xue Guo-Qiang,LI Xiu. The technology of TEM tunnel<br />
prediction imag<strong>in</strong>g. Ch<strong>in</strong>ese Journal of Geophysics,<br />
2008,51(3)894:900<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
17
Detection Coils for Near-Surface Earth’s Field NMR<br />
E. Fukushima, A. F. McDowell, T. Z. Zhang, S. A. Altobelli<br />
ABQMR, Albuquerque, New Mexico, USA<br />
mcdowell@abqmr.com<br />
At present, Earth’s Field NMR from <strong>the</strong><br />
surface of <strong>the</strong> Earth (that is, Surface NMR) is<br />
used to detect significant volumes of water or<br />
organic pollutants at depths roughly<br />
comparable to <strong>the</strong> coil’s horizontal extent.<br />
However, <strong>the</strong>re are applications that require<br />
<strong>the</strong> detection signals from shallower depths.<br />
For example, <strong>the</strong> detection of oil that has<br />
escaped under Artic sea ice, or <strong>the</strong><br />
determ<strong>in</strong>ation of soil water content <strong>in</strong> <strong>the</strong><br />
vadose zone. The usual Surface NMR<br />
detection coils are not particularly suited for<br />
<strong>the</strong>se shallower depths; improvements that<br />
yield <strong>in</strong>creases <strong>in</strong> both SNR and depth<br />
resolution are needed.<br />
We have developed a new flat coil design to<br />
address <strong>the</strong>se issues. In traditional high field<br />
NMR, <strong>the</strong>re have been many attempts to<br />
optimize coils designs for unilateral<br />
applications and, <strong>in</strong> addition, to flat, th<strong>in</strong>,<br />
samples or sampled regions. The common<br />
simple loop is optimal for a sample region that<br />
is approximately a radius away from <strong>the</strong> loop,<br />
thus not ideally suited for a very th<strong>in</strong> sample<br />
region, close to <strong>the</strong> coil. The meanderl<strong>in</strong>e coil<br />
can have good senetivity and position<br />
resolution, but it is designed for flat samples<br />
oriented along <strong>the</strong> static field, not <strong>the</strong><br />
orientation that is common for EFNMR. An<br />
improved coil should have a flat, sensitive<br />
region that is close to <strong>the</strong> coil with high and<br />
flat specific sensitivity profile.<br />
Our coil consists of physically parallel wires<br />
connected <strong>in</strong> series and spread out over a flat<br />
substrate. The current return wires are placed<br />
on <strong>the</strong> same substrate but displaced to <strong>the</strong> sides<br />
to m<strong>in</strong>imize <strong>the</strong>ir contributions to <strong>the</strong> sensitive<br />
region of <strong>the</strong> coil. We have built an example<br />
of such a coil hav<strong>in</strong>g 82 parallel wires <strong>in</strong> <strong>the</strong><br />
center with <strong>the</strong> return wires bundled at <strong>the</strong><br />
edges of <strong>the</strong> ~1 meter square plywood<br />
substrate. A s<strong>in</strong>gle turn of <strong>the</strong> coil is<br />
topologically a figure-8, with <strong>the</strong> loops of <strong>the</strong> 8<br />
tak<strong>in</strong>g <strong>the</strong> form of rectangles. The two straight<br />
segments <strong>in</strong> <strong>the</strong> center constitute two of <strong>the</strong><br />
multiple parallel wires of <strong>the</strong> flat coil. A<br />
Detection Coils for Near-Surface Earth’s Field NMR<br />
simple extension to a two-turn figure-8 results<br />
<strong>in</strong> four parallel wires <strong>in</strong> <strong>the</strong> central region of<br />
<strong>the</strong> coil. For <strong>the</strong> 82 wire model coil, each<br />
straight wire is displaced on <strong>the</strong> plywood so<br />
nearly <strong>the</strong> entire board is covered.<br />
This 1 m 2 coil has been used <strong>in</strong> <strong>the</strong> field to<br />
detect EFNMR signals from water placed<br />
directly on top of <strong>the</strong> coil structure. These<br />
detections typically require only a few m<strong>in</strong>utes<br />
to achieve. The sentivitiy of <strong>the</strong> coil drops<br />
with distance from <strong>the</strong> coil structure, so <strong>the</strong><br />
detection of signals from <strong>the</strong> sub-surface will<br />
require larger coils. The sensitivity profile of<br />
<strong>the</strong> coil is relatively flat for depths small<br />
compared to <strong>the</strong> lateral extent of <strong>the</strong> coil, a<br />
property which will enable depth profil<strong>in</strong>g.<br />
Alternatively, <strong>the</strong> flat sensitivity profile can be<br />
used to optimize <strong>the</strong> coil for <strong>the</strong> detection of a<br />
th<strong>in</strong> layer of oil float<strong>in</strong>g on water under ice.<br />
A virtue of <strong>the</strong> flat coil consist<strong>in</strong>g of multiple<br />
figure-8 w<strong>in</strong>d<strong>in</strong>gs is its relative immunity to<br />
magnetic <strong>in</strong>terference such as from distant<br />
power l<strong>in</strong>es. The sensitivity to <strong>in</strong>terference can<br />
be adjusted after placement of <strong>the</strong> coil by<br />
ei<strong>the</strong>r mov<strong>in</strong>g <strong>the</strong> wires or by adjust<strong>in</strong>g<br />
conduct<strong>in</strong>g paddles <strong>in</strong> <strong>the</strong> spaces between <strong>the</strong><br />
ma<strong>in</strong> wires and <strong>the</strong> returns.<br />
This project is funded by Exxon Mobil Upstream<br />
Research Company to develop technology to detect<br />
spilled/leaked oil caught under Arctic sea ice. We<br />
also acknowledge assistance <strong>in</strong> coil w<strong>in</strong>d<strong>in</strong>g and<br />
test<strong>in</strong>g by J. Bench, D. Kue<strong>the</strong>, and N. Sowko.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
18
Quantify<strong>in</strong>g Background <strong>Magnetic</strong> Field Inhomogeneity Us<strong>in</strong>g Composite Pulses:<br />
Estimat<strong>in</strong>g T2 from T2* by Correct<strong>in</strong>g for Static Dephas<strong>in</strong>g<br />
Quantify<strong>in</strong>g Background <strong>Magnetic</strong> Field Inhomogeneity Us<strong>in</strong>g Composite<br />
Pulses: Estimat<strong>in</strong>g T2 from T2* by Correct<strong>in</strong>g for Static Dephas<strong>in</strong>g<br />
Denys Grombacher 1 , Jan O. Walbrecker 1 , Rosemary Knight 1<br />
1 Department of Geophysics, Stanford University<br />
denysg@stanford.edu<br />
Surface Nuclear <strong>Magnetic</strong> <strong>Resonance</strong> (SNMR)<br />
measurements typically <strong>in</strong>volve <strong>the</strong><br />
application of a s<strong>in</strong>gle perturb<strong>in</strong>g B1 pulse and<br />
<strong>the</strong> monitor<strong>in</strong>g of <strong>the</strong> sp<strong>in</strong> magnetization’s<br />
subsequent return to equilibrium. This<br />
measured decay, called <strong>the</strong> free <strong>in</strong>duction<br />
decay (FID), is governed by <strong>the</strong> relaxation time<br />
T2*. Although T2* conta<strong>in</strong>s <strong>in</strong>formation about<br />
<strong>the</strong> surface area to volume ratio (S/V), it<br />
rema<strong>in</strong>s very susceptible to dephas<strong>in</strong>g caused<br />
by <strong>the</strong> presence of background magnetic field<br />
<strong>in</strong>homogeneity. This dephas<strong>in</strong>g mechanism<br />
decreases <strong>the</strong> sensitivity of T2* to S/V.<br />
Grunewald and Knight (2011) have<br />
demonstrated that <strong>in</strong> many cases T2* does not<br />
carry sensitivity to S/V. This may lead to<br />
errors when us<strong>in</strong>g T2* to estimate hydraulic<br />
conductivity, as <strong>the</strong> relation between relaxation<br />
times and hydraulic conductivity is based on<br />
<strong>the</strong> underly<strong>in</strong>g assumption that <strong>the</strong> relaxation<br />
times carry a direct l<strong>in</strong>k to S/V.<br />
In order to allow for <strong>the</strong> estimation of S/V<br />
from an FID measurement, we develop a<br />
methodology to quantify, and correct for, <strong>the</strong><br />
component of <strong>the</strong> measured FID that is due to<br />
dephas<strong>in</strong>g. A suite of composite pulses is<br />
designed to characterize <strong>the</strong> <strong>in</strong>homogeneity of<br />
<strong>the</strong> background magnetic field. By <strong>in</strong>vert<strong>in</strong>g<br />
<strong>the</strong> variation of <strong>the</strong> FID amplitude and phase<br />
follow<strong>in</strong>g each composite pulse, we are able to<br />
predict <strong>the</strong> background magnetic field<br />
distribution. We use <strong>the</strong> predicted field<br />
distribution to quantify and remove <strong>the</strong><br />
component of static dephas<strong>in</strong>g present <strong>in</strong> <strong>the</strong><br />
measured FID. This allows <strong>the</strong> T2 decay,<br />
which can be related to S/V, to be predicted<br />
us<strong>in</strong>g only FID measurements.<br />
Each composite pulses utilized <strong>in</strong> this study<br />
consist of two <strong>in</strong>dividual pulses and is def<strong>in</strong>ed<br />
by 1) <strong>the</strong> flip angle of each <strong>in</strong>dividual pulse, 2)<br />
<strong>the</strong> delay time between pulses, and 3) <strong>the</strong><br />
relative phase of <strong>the</strong> two pulses. By limit<strong>in</strong>g<br />
ourselves to two pulses we reta<strong>in</strong><br />
compatiibility with SNMR. We used a suite of<br />
11 composite pulses was used to predict <strong>the</strong><br />
background magnetic field distribution for<br />
several samples <strong>in</strong> a controlled laboratory<br />
environment. For all samples, <strong>the</strong> predicted T2<br />
distributions (after correct<strong>in</strong>g for dephas<strong>in</strong>g) fit<br />
much more closely <strong>the</strong> true T2 distribution<br />
(measured us<strong>in</strong>g a CPMG) than do <strong>the</strong> T2*<br />
distributions (from FID measurements). This<br />
methodology may provide a means of<br />
correct<strong>in</strong>g for <strong>the</strong> static dephas<strong>in</strong>g that arises<br />
due to background field <strong>in</strong>homogeneity,<br />
potentially lead<strong>in</strong>g to subsequent<br />
improvements <strong>in</strong> <strong>the</strong> reliability of hydraulic<br />
conductivity estimates from SNMR.<br />
References<br />
Grunewald, E., Knight, R. (2011): The effect of<br />
pore size and magnetic susceptibility on <strong>the</strong><br />
surface NMR relaxation parameter T2*. Near<br />
Surface Geophysics, 9.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
19
Modell<strong>in</strong>g NMR signal for compact sensors<br />
Aaron Davis and James Macnae<br />
CSIRO and RMIT Universivty<br />
aaron.davis@csiro.au and james.macnae@rmit.edu.au<br />
Recent advances have <strong>in</strong>creased <strong>the</strong> signal to<br />
noise ratio of EM B and dB/dt sensors<br />
remarkably. By tun<strong>in</strong>g sensors for <strong>the</strong> low<br />
frequencies appropriate to earth-field NMR<br />
signal, it is <strong>the</strong>oretically possible to use <strong>the</strong>m<br />
<strong>in</strong> geophysical applications for <strong>the</strong><br />
<strong>in</strong>vesitgation of groundwater <strong>in</strong> <strong>the</strong> subsurface<br />
of <strong>the</strong> earth. In this paper, we model <strong>the</strong><br />
response of compact B and dB/dt sensors such<br />
as <strong>the</strong> 'NMARMIT' sensor (Macnae, 2012).<br />
We revisit <strong>the</strong> work of Weichman et al (2000)<br />
to generalise <strong>the</strong> <strong>the</strong>ory of surface NMR to<br />
account for compact sensors arrayed on <strong>the</strong><br />
surface of <strong>the</strong> earth. Our <strong>the</strong>ory is appropriate<br />
for any loop shape and conductivity structure.<br />
By simultanoeusly monitor<strong>in</strong>g <strong>the</strong> current<br />
pulse of <strong>the</strong> transmit loop and <strong>the</strong> NMR<br />
response <strong>in</strong> B and dB/dt, we demonstrate <strong>the</strong><br />
<strong>the</strong>oretical feasability of <strong>the</strong>se sensors to<br />
Modell<strong>in</strong>g NMR signal for compact sensors<br />
measure NMR signal <strong>in</strong> three dimensions with<br />
zero delay time.<br />
Through forward modell<strong>in</strong>g of <strong>the</strong> physical<br />
response, we show that deployment of sensor<br />
arrays can be used to detect complex<br />
distribution of water <strong>in</strong> <strong>the</strong> earth; and that it<br />
*<br />
should be possible to measure both T1 and T 2<br />
<strong>in</strong> a rout<strong>in</strong>e NMR tomography measurement <strong>in</strong><br />
<strong>the</strong> same time that it takes to do a conventional<br />
sNMR sound<strong>in</strong>g.<br />
References<br />
Macnae, J, 2012. A new generation of EM sensors,<br />
ASEG conference extended abstracts, Brisbane.<br />
Weichman, P.B., Lavely, E.M., and Ritzwoller,<br />
M.H., 2000. Thoery of surface nuclear magnetic<br />
resonance with applications to geophysical<br />
imag<strong>in</strong>g problems: Physical Review E, 62, 1,<br />
1290<strong>–</strong>1312.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
20
3 component NMR with NMARMIT sensors<br />
Janmes Macnae & Aaron Davis<br />
RMIT University and CSIRO<br />
James.macnae@rmit.edu.au & aaron.davis@csiro.au<br />
Recent developments <strong>in</strong> m<strong>in</strong>eral exploration<br />
have shown that compact B and dB/dt sensors<br />
(<strong>in</strong> particular <strong>the</strong> ARMIT sensor designed at<br />
RMIT University with fund<strong>in</strong>g from Abitibi<br />
Geophysics) based on monitor<strong>in</strong>g currents <strong>in</strong> a<br />
perfect conductor can achieve lower noise<br />
levels than High Temperature SQUIDS.<br />
(Macnae, 2012). Noise levels achieved around<br />
2 kHz are roughly equivalent to those <strong>in</strong> <strong>the</strong><br />
large loops commonly used as NMR receivers,<br />
with sensitivities better than 100fT.<br />
Optimisation of <strong>the</strong>se sensors for <strong>the</strong> NMR<br />
bandwidth and signals has produced <strong>the</strong><br />
“NMARMIT” sensor.<br />
The NMARMIT sensor measures<br />
simultaneously B and dBdt signals, with <strong>the</strong><br />
respective ga<strong>in</strong>s adjusted to ouput similar<br />
voltages for 1 kHz signals. They are effectively<br />
l<strong>in</strong>ear, and do not require any “recovery time’<br />
after saturation. They are thus suitable for<br />
field use for record<strong>in</strong>g low amplitude NMR<br />
signals immediately after <strong>the</strong> transmission<br />
pulse<br />
With careful alignment, horizontal component<br />
receivers are null-coupled to <strong>the</strong> primary<br />
magnetic field of a nearby (coplanar and<br />
perfectly horizontal) transmitter. This nullcoupl<strong>in</strong>g<br />
allows <strong>in</strong> <strong>the</strong>ory cont<strong>in</strong>uous record<strong>in</strong>g<br />
of <strong>the</strong> secondary NMR response dur<strong>in</strong>g proton<br />
excitation (sp<strong>in</strong>-up) and decay (sp<strong>in</strong> down)<br />
without <strong>the</strong> “dead-time” when <strong>the</strong> same loop is<br />
used for transmission and sens<strong>in</strong>g. In practice,<br />
coupl<strong>in</strong>g is never perfect, and some primary<br />
signal is seen <strong>in</strong> secondary record<strong>in</strong>gs.<br />
3 component NMR with NMARMIT sensors<br />
The first tests of <strong>the</strong> sensors (all 3 components,<br />
measur<strong>in</strong>g B and dB/dt) <strong>in</strong> Australia with a<br />
low-amplitude pulsed waveform transmitter<br />
have shown that <strong>the</strong>y may be capable of<br />
detect<strong>in</strong>g NMR signals associated with nearsurface<br />
water, and could map 2D changes<br />
around <strong>the</strong> edge of a dam surrounded by a<br />
transmitter. Fur<strong>the</strong>r tests with more powerful<br />
NMR transmitters are planned <strong>in</strong> <strong>the</strong> very near<br />
future.<br />
The new sensors, be<strong>in</strong>g compact and<br />
<strong>in</strong>expensive, can be arranged <strong>in</strong> an array,<br />
allow<strong>in</strong>g detailed spatial mapp<strong>in</strong>g of secondary<br />
NMR fields from each transmitter layout.<br />
Us<strong>in</strong>g exist<strong>in</strong>g <strong>in</strong>struments such as<br />
SmartEM24, up to 16 sensors can be<br />
simultaneously sampled. With 3 spatial<br />
components be<strong>in</strong>g sampled, it may be possible<br />
to separate T1 from T2* signals through<br />
resolv<strong>in</strong>g <strong>the</strong> spatial orientation of <strong>the</strong> source<br />
proton dipole moments.<br />
Modell<strong>in</strong>g (companion paper by Davis and<br />
Macnae, this conference) suggests that<br />
significant <strong>in</strong>creases <strong>in</strong> (a) vertical and spatial<br />
resolution of water and (b) survey productivity<br />
will occur if <strong>the</strong> use of <strong>the</strong> distributed<br />
NMARMIT sensors are used.<br />
References<br />
Macnae, J, 2012, A new generation of EM sensors,<br />
ASEG conference extended abstracts, Brisbane<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
21
Development of a novel MRS-TEM comb<strong>in</strong>ed <strong>in</strong>strument for improv<strong>in</strong>g MRS capacity <strong>in</strong><br />
groundwater <strong>in</strong>vestigations<br />
Development of a novel MRS-TEM comb<strong>in</strong>ed <strong>in</strong>strument for improv<strong>in</strong>g<br />
MRS capacity <strong>in</strong> groundwater <strong>in</strong>vestigations<br />
L<strong>in</strong> T<strong>in</strong>g-t<strong>in</strong>g, Wan L<strong>in</strong>g, Shang X<strong>in</strong>-lei, Shi Wen-long, L<strong>in</strong> Jun<br />
College of Instrumentation and Electrical Eng<strong>in</strong>eer<strong>in</strong>g, Jil<strong>in</strong> University, Changchun, 130061, Ch<strong>in</strong>a<br />
ttl<strong>in</strong>@jlu.edu.cn ; cc56788@163.com<br />
In this paper we outl<strong>in</strong>e <strong>the</strong> technical<br />
specifications and capabilities of <strong>the</strong> MRS-<br />
TEM comb<strong>in</strong>ed system. We <strong>in</strong>itially<br />
demonstrate <strong>the</strong> high efficiency of <strong>the</strong> novel<br />
MRS-TEM <strong>in</strong>strument and its work<strong>in</strong>g models.<br />
Specifically, <strong>the</strong> jo<strong>in</strong>t <strong>in</strong>version scheme of both<br />
MRS and TEM data sets for detect<strong>in</strong>g shallow<br />
and deeper aquifers (>150 m) were<br />
demonstrated <strong>in</strong> detail. This algorithm is used<br />
for enhanc<strong>in</strong>g spatial resolution to a<br />
quantitative <strong>in</strong>terpretation of <strong>the</strong> groundwater<br />
contents than us<strong>in</strong>g each method respectively.<br />
F<strong>in</strong>ally, we present <strong>the</strong> results of some recent<br />
groundwater <strong>in</strong>vestigations conducted <strong>in</strong> Ch<strong>in</strong>a<br />
and Mongolia.<br />
Instrumentation<br />
The comb<strong>in</strong>ed groundwater detection system is<br />
designed based on <strong>the</strong> pr<strong>in</strong>ciples of magnetic<br />
resonance sound<strong>in</strong>g (MRS) and transient<br />
electromagnetic (TEM). Both MRS module<br />
and TEM module are <strong>in</strong>tegrated with<strong>in</strong> one<br />
<strong>in</strong>strument conta<strong>in</strong>er. They compatibly share<br />
one ADC, one DC-DC convertor and one CPU<br />
to accomplish <strong>in</strong>dividual function. Aslo, a<br />
designed FPGA is capable of generat<strong>in</strong>g each<br />
transmit time sequence. Hence, by us<strong>in</strong>g<br />
different comb<strong>in</strong>ations of Tx/Rx loops, high<br />
work<strong>in</strong>g effeiciency for 1D/2D groundwater<br />
<strong>in</strong>vestigation could be expected when<br />
switch<strong>in</strong>g work<strong>in</strong>g status.<br />
When work<strong>in</strong>g at MRS mode, <strong>the</strong><br />
excitation pulse moment of <strong>the</strong> transmitter can<br />
exceeds to 20000 A·ms with 40ms of transmit<br />
time, allow<strong>in</strong>g <strong>the</strong> <strong>in</strong>strument produces<br />
maximum AC current pluses <strong>in</strong> excess of 500<br />
A. Additionally, by us<strong>in</strong>g special design of<br />
bilateral diode, <strong>the</strong> dead-time of this <strong>in</strong>strument<br />
can be shortened to a m<strong>in</strong>imum value of 17ms.<br />
The receiver circuit background noise is 1<br />
nV/sqrt (Hz) at 100Hz.<br />
The maximum detection depth could be<br />
reached to 300m when <strong>the</strong> <strong>in</strong>strument works at<br />
TEM mode. The turn off time is decreased to<br />
1µs, enabl<strong>in</strong>g plenty of <strong>in</strong>formation to be<br />
received for <strong>the</strong> post data <strong>in</strong>terpretation.<br />
Jo<strong>in</strong>t <strong>in</strong>version algorithms<br />
Initially, <strong>the</strong> MRS response curves were<br />
<strong>in</strong>verted us<strong>in</strong>g half-spaces with <strong>the</strong> resistivities<br />
of 500Ωm, 100 Ωm, 50Ωm, 10Ωm, and 1Ωm,<br />
respectively. This step allows estimation of <strong>the</strong><br />
error <strong>in</strong> determ<strong>in</strong>e <strong>the</strong> water content caused by<br />
<strong>the</strong> changes of <strong>the</strong> resistivity of <strong>the</strong> subsurface.<br />
The water content and layer boundaries are<br />
<strong>the</strong>n determ<strong>in</strong>ed for <strong>the</strong> first time by <strong>the</strong> block<br />
method. With <strong>the</strong> fix thickness to be <strong>the</strong> <strong>in</strong>itial<br />
parameters of <strong>the</strong> TEM <strong>in</strong>version method, <strong>the</strong><br />
resisitivities of <strong>the</strong> aquifer could be reached<br />
after repeated iteration. The forward kernel<br />
function was <strong>the</strong>n caculated with <strong>the</strong> update<br />
resisitivities as well as <strong>the</strong> layer boundaries.<br />
The iteration process could be term<strong>in</strong>ated until<br />
<strong>the</strong> calculate rms of both methods is below <strong>the</strong><br />
m<strong>in</strong>imum correspond<strong>in</strong>g value. Simulation of<br />
<strong>the</strong> two-six layer results show <strong>the</strong> new<br />
<strong>in</strong>version schemes can separate water bear<strong>in</strong>g<br />
layers with accuracy depth.<br />
Field example<br />
Experimental results are presented for recent<br />
MRS-TEM groundwater <strong>in</strong>vestigations<br />
conducted <strong>in</strong> Ch<strong>in</strong>a and Mongolia.<br />
References<br />
Braun, M., Yaramanci, U. (2008) : Inversion of<br />
resistivity <strong>in</strong> <strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g.<br />
Journal of applied geophysics, 66(3-4): 151-164.<br />
Chalikakis, K., Nielsen, M.R., Legchenko,<br />
A.(2008) MRS applicability for a study of glacial<br />
sedimentary aquifers <strong>in</strong> Central Jutland,<br />
Denmark. Journal of applied geophysics, 66(3-<br />
4): 176-187.<br />
Legchenko, A., Ezersky, M., Camerlynck, C.<br />
(2009): Jo<strong>in</strong>t use of TEM and MRS methods <strong>in</strong> a<br />
complex geological sett<strong>in</strong>g. Comptes rendus<br />
geoscience, 341(10-11):908-917.<br />
L<strong>in</strong>, J., Duan, Q.M., Wang, Y.j.(2009): A<br />
<strong>in</strong>strument with nuclear magnetic resonance<br />
and TEM and <strong>the</strong>ir methods. Ch<strong>in</strong>a patent<br />
200610017226.8<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
22
Aquater MRS <strong>in</strong>strument<br />
Oleg A. Shushakov 1, 2 , Dmitry L. Bizyaev 3 , Dmitry B. Poluboyarov 3<br />
1) Institute of Chemical K<strong>in</strong>etics and Combustion SB RAS, Novosibirsk, Russia<br />
2) Novosibirsk State University, Novosibirsk, Russia<br />
3) Center of manufactur<strong>in</strong>g application LTD<br />
aquater@ngs.ru<br />
The magnetic-resonance sound<strong>in</strong>g (MRS) or<br />
<strong>the</strong> surface nuclear magnetic resonance<br />
(SNMR) can be used to unambiguously detect<br />
subsurface water <strong>in</strong> suitable geological<br />
formations (aquifers) down to a depth of <strong>the</strong><br />
order of 100 meters depend<strong>in</strong>g on <strong>the</strong> antenna<br />
size, formation electrical conductivity,<br />
resonant frequency, and <strong>the</strong> presence of natural<br />
or cultural electromagnetic noise.<br />
Ma<strong>the</strong>matical rout<strong>in</strong>es yield depth distributions<br />
of water, provided that water is present <strong>in</strong><br />
horizontal layers, namely <strong>in</strong> its pores or<br />
fractures. Determ<strong>in</strong>ation of pore size<br />
distributions is possible us<strong>in</strong>g MRS relaxation<br />
time measurement. The frequency of magnetic<br />
resonance <strong>in</strong> <strong>the</strong> case be<strong>in</strong>g considered<br />
amounts to several kilohertz, <strong>the</strong> dead time of<br />
<strong>the</strong> <strong>in</strong>strumentation <strong>–</strong> several milliseconds or<br />
tens of milliseconds. Water <strong>in</strong> extremely small<br />
pores of water-resist<strong>in</strong>g rocks (e.g., <strong>in</strong><br />
argillaceous grounds), chemically bound,<br />
crystallization or frozen water has smaller<br />
times of sp<strong>in</strong> relaxation and is not registered.<br />
Weston Anderson from Varian Associates<br />
first <strong>in</strong>troduced <strong>the</strong> surface NMR method [1].<br />
Semenov et al. first designed <strong>the</strong> MRS tool [2].<br />
The first MRS <strong>in</strong>strument, <strong>the</strong> Hydroscope has<br />
been made <strong>in</strong> late 80th at <strong>the</strong> Institute of<br />
Chemical K<strong>in</strong>etics and Combustion,<br />
Novosibirsk, Russia [3].<br />
The NUMIS (IRIS Instruments, Orleans,<br />
France) first made <strong>in</strong> late 90th is <strong>the</strong> most<br />
widely used MRS <strong>in</strong>strument [4].<br />
Output 250A*40ms<br />
(150m circle,<br />
2500Hz)<br />
Aquater MRS <strong>in</strong>strument<br />
Hidroscope NUMIS Poly<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
600A*40ms<br />
(100m<br />
square,<br />
frequency-?)<br />
Power supply 4x12V 2x12V<br />
Weight (kg) 100 105<br />
Max. depth of<br />
prospect<strong>in</strong>g (m)<br />
120 150<br />
Table 1. Basic parameters of <strong>the</strong> Hydroscope and<br />
NUMIS <strong>in</strong>struments.<br />
Table 1 compares <strong>the</strong> basic parameters of <strong>the</strong><br />
modern Hydroscope and NUMIS <strong>in</strong>struments.<br />
Never<strong>the</strong>less, 15 years (or even 25 years) of<br />
<strong>the</strong> MRS application displayed a number of<br />
significant problems:<br />
1) sensitivity to electromagnetic noise;<br />
2) <strong>in</strong>sufficient depth of prospect<strong>in</strong>g;<br />
3) <strong>in</strong>correct physical model used both <strong>in</strong><br />
<strong>the</strong> NUMIS and <strong>in</strong> <strong>the</strong> Hydroscope.<br />
Research is underway to determ<strong>in</strong>e if <strong>the</strong> MRS<br />
<strong>in</strong>struments currently used can be modified to<br />
solve <strong>the</strong>se problems. The novel Aquater MRS<br />
<strong>in</strong>strument is <strong>in</strong>troduced.<br />
References<br />
1. Varian R.H. (1962) Ground liquid prospect<strong>in</strong>g<br />
method and apparatus. US. Patent 3019383.<br />
2. Semenov A.G., Pusep A.Yu., and Schirov M.D.<br />
(1982) Hydroscope - an <strong>in</strong>stallation for<br />
prospect<strong>in</strong>g without drill<strong>in</strong>g. Prepr<strong>in</strong>t USSR<br />
Acad. Sci., Novosibirsk, 26 pp. (<strong>in</strong> Russian).<br />
3. http://www.k<strong>in</strong>etics.nsc.ru/results/paper47.html<br />
4. http://www.iris<strong>in</strong>struments.com/Product/Brochure/Numis.html<br />
23
One-Dimensional Theoretical Research on MRS Excited by F<strong>in</strong>ite Current Wire<br />
One-Dimensional Theoretical Research on MRS Excited by F<strong>in</strong>ite Current<br />
Wire<br />
Yuanjie Li, Zhenyu Li, Jianwei Pan, Jiagang Zhang, Hao Liu, Kai Wang<br />
Institute of Geophysics and Geomatics, Ch<strong>in</strong>a University of Geosciences, Wuhan, PRC<br />
liyuanjie305@163.com<br />
<strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g, abbreviated as<br />
MRS, is a novel geophysical technic specially<br />
designed for direct water exploration by us<strong>in</strong>g<br />
NMR phenomena. At present, <strong>in</strong> <strong>the</strong> fields a<br />
large loop normally acts as both transmitter<br />
and receiver, and <strong>in</strong> this model <strong>in</strong>formation of<br />
aquifers <strong>in</strong> varied depth from <strong>the</strong> shallow to <strong>the</strong><br />
deep will be obta<strong>in</strong>ed through amplify<strong>in</strong>g<br />
stimulat<strong>in</strong>g pulse. However, this traditional<br />
work mode has shortcom<strong>in</strong>gs of <strong>in</strong>tense labour<br />
of <strong>the</strong> operator, great <strong>in</strong>fluence from landform,<br />
only one-dimensional <strong>in</strong>formation of aquifers<br />
be<strong>in</strong>g achieved, and f<strong>in</strong>ite maximum depth of<br />
<strong>in</strong>vestigation which is a problem to be solved<br />
urgently. These drawbacks may be related to<br />
field source that is <strong>the</strong> magnetic field of <strong>the</strong><br />
loop, so, we propose a pioneer<strong>in</strong>g and bold<br />
assumption that <strong>the</strong> stimulat<strong>in</strong>g loop is<br />
superseded by f<strong>in</strong>ite current wire as <strong>the</strong> field<br />
source. In <strong>the</strong>ory, <strong>the</strong> new mode possesses few<br />
advantages of flexible lay-pattern, free from<br />
tomography limitation, affluent <strong>in</strong>formation<br />
about underground aquifer, potential research<br />
<strong>in</strong> detect<strong>in</strong>g depth. Therefore, we will do<br />
research about MRS methods excited by f<strong>in</strong>ite<br />
current wire, and determ<strong>in</strong>e its feasibility.<br />
The distribut<strong>in</strong>g of magnetic field stimulated<br />
by f<strong>in</strong>ite current l<strong>in</strong>e is numerical simulated <strong>in</strong><br />
<strong>the</strong> homogeneous half-space, while its<br />
characteristics will be quantitatively analysed.<br />
And <strong>the</strong>n various aquifers models <strong>in</strong> <strong>the</strong> mode<br />
of MRS method excited by wire source will be<br />
built to acquire NMR signals, characteristics of<br />
which will be compared with those <strong>in</strong> <strong>the</strong><br />
traditional mode. By do<strong>in</strong>g so ,it is can be<br />
concluded that it is feasible to employ l<strong>in</strong>e<br />
source excit<strong>in</strong>g MRS technique , and also <strong>the</strong><br />
superiority of this new method over<br />
conventional mode can be demonstrated. To<br />
perfect one-dimensional <strong>the</strong>oretical system of<br />
MRS method stimulated by l<strong>in</strong>e source,<br />
appropriate <strong>in</strong>version about new method will<br />
be carried out.<br />
References<br />
Anderson, W.L.. (1979): Numerical <strong>in</strong>tegration of<br />
related Hankel transforms of order 0 and 1 by<br />
adaptive digital filter<strong>in</strong>g. Geophysics, 44(10):<br />
1287-1305.<br />
Anderson, W.L.. (1984): Computation of Green's<br />
tensor <strong>in</strong>tegrals for three-dimensional<br />
electromagnetic problems us<strong>in</strong>g fast hankel<br />
transforms. Geophysics, 49(10): 877-901.<br />
Baltassat, J., A.V. Legchenko. (2002): Nuclear<br />
magnetic resonance as a geophysical tool for<br />
hydrogeologists. Journal of Applied Geophysics,<br />
50(1-2): 21-46.<br />
Braun, M., U. Yaramanci. (2011): Evaluation of <strong>the</strong><br />
Influence of 2-D Electrical Resistivity on<br />
<strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g. Journal of<br />
Environmental & Eng<strong>in</strong>eer<strong>in</strong>g Geophysics,<br />
16(3): 95-103.<br />
Guillen, A., A.V. Legchenko. (2002): Inversion of<br />
surface nuclear magnetic resonance data by an<br />
adapted Monte Carlo method applied to water<br />
resource characterization. Journal of Applied<br />
Geophysics, 50(1-2): 193-205.<br />
Johansen, H.K.. (1979): Fast Hankel transform.<br />
Geophys Prosp, 49(10): 1754-1759.<br />
Keat<strong>in</strong>g, K., R.A. Knight. (2008): laboratory study<br />
of <strong>the</strong> effect of magnetite on NMR relaxation<br />
rates. Journal of Applied Geophysics, 66(3-4):<br />
188-196.<br />
Nabighian, M.N., M.L. OristaglioS. (1984): On <strong>the</strong><br />
approximation of f<strong>in</strong>ite loop sources by twodimensional<br />
l<strong>in</strong>e sources. GEOPHYSICS, 49(7):<br />
1027-1029.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
24
Signal Process<strong>in</strong>g<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
25
Optimized Wiener filter<strong>in</strong>g with <strong>the</strong> Numis Poly system<br />
Optimized Wiener filter<strong>in</strong>g with <strong>the</strong> Numis Poly system<br />
Esben Dalgaard, Esben Auken and Jakob Juul Larsen<br />
Department of Geoscience, Aarhus University, Aarhus, Denmark.<br />
esben.dalgaard@geo.au.dk<br />
Some of <strong>the</strong> major noise contam<strong>in</strong>ators we<br />
observe <strong>in</strong> MRS data are power l<strong>in</strong>e harmonics<br />
and spikes. For a more efficient noise<br />
cancell<strong>in</strong>g multichannel systems have been<br />
developed (Walsh, 2008). With regards to <strong>the</strong><br />
powerl<strong>in</strong>e harmonics we will show a study on<br />
how to optimize <strong>the</strong> estimation of <strong>the</strong> transfer<br />
function between reference and primary<br />
receivers <strong>in</strong> <strong>the</strong> Numis Poly system. We will<br />
show how an automatic detection of spikes<br />
will improve and ease <strong>the</strong> signal process<strong>in</strong>g.<br />
In <strong>the</strong> Numis Poly system a noise record is<br />
obta<strong>in</strong>ed right before <strong>the</strong> signal section, this is<br />
done to estimate <strong>the</strong> transfer function. This<br />
transfer function can be estimated with<br />
different filter<strong>in</strong>g approaches e.g. adaptive<br />
filter<strong>in</strong>g, Wiener filter<strong>in</strong>g <strong>in</strong> both time and<br />
frequency doma<strong>in</strong>. We have observed jitter and<br />
small offsets between receivers <strong>in</strong> sampl<strong>in</strong>g<br />
frequency, which lead to imprecise<br />
calculations of <strong>the</strong> transfer function and<br />
<strong>in</strong>efficient noise cancell<strong>in</strong>g. We will<br />
demonstrate how much <strong>the</strong>se hardware<br />
limitations will affect <strong>the</strong> noise cancell<strong>in</strong>g.<br />
To overcome <strong>the</strong> issues with jitter and different<br />
sampl<strong>in</strong>g frequencies we explore alternative<br />
ways of estimat<strong>in</strong>g <strong>the</strong> transfer function. By<br />
estimat<strong>in</strong>g <strong>the</strong> transfer function from <strong>the</strong> signal<br />
record itself, <strong>the</strong> jitter offset is fixed between<br />
receivers, thus <strong>the</strong> filter is tuned <strong>in</strong> to <strong>the</strong>se<br />
offsets, and no error will be <strong>in</strong>duced. We<br />
compare transfer functions obta<strong>in</strong>ed from <strong>the</strong><br />
noise records with transfer functions obta<strong>in</strong>ed<br />
from <strong>the</strong> signal record itself. A drawback of<br />
estimat<strong>in</strong>g <strong>the</strong> filter <strong>in</strong> <strong>the</strong> signal section is <strong>the</strong><br />
risk of cancell<strong>in</strong>g pure MRS <strong>in</strong> <strong>the</strong> process<strong>in</strong>g<br />
(Dalgaard et al.). We show that <strong>in</strong> <strong>the</strong> design of<br />
<strong>the</strong> filter, it is possible to avoid cancell<strong>in</strong>g <strong>the</strong><br />
signal while estimat<strong>in</strong>g <strong>the</strong> filter directly on <strong>the</strong><br />
signal part.<br />
The presence of spikes of different orig<strong>in</strong>s <strong>in</strong><br />
MRS signal records will distort noise<br />
cancell<strong>in</strong>g of <strong>the</strong> powerl<strong>in</strong>e harmonics. The<br />
spikes <strong>in</strong> <strong>the</strong> signals from both <strong>the</strong> primary and<br />
reference receivers must <strong>the</strong>refore be removed<br />
<strong>in</strong> advance for fur<strong>the</strong>r noise cancell<strong>in</strong>g. The<br />
spikes will contam<strong>in</strong>ate only a part of <strong>the</strong><br />
signal section, leav<strong>in</strong>g a major part of <strong>the</strong><br />
section uncontam<strong>in</strong>ated, and thus delet<strong>in</strong>g<br />
entire sections is not necessary. Instead a local<br />
detection and removal of spikes are more<br />
appropriate. Due to <strong>the</strong> huge data amount, a<br />
spike detection performed manually is very<br />
time consum<strong>in</strong>g and an automatic spike<br />
detection would be preferable.<br />
Inspired by <strong>the</strong> work of Mukhopadhyay and<br />
Ray (1998) we have implemented a spike<br />
detection algorithm based on <strong>the</strong> nonl<strong>in</strong>ear<br />
energy operator. An ensemble based threshold<br />
is used with <strong>the</strong> threshold determ<strong>in</strong>ed by <strong>the</strong><br />
median absolute deviation (MAD) (Hoagl<strong>in</strong> et<br />
al., 2000). We will present an efficient and<br />
simple procedure for automatic spike<br />
detection.<br />
Key words: magnetic resonance sound<strong>in</strong>g;<br />
Wiener filter<strong>in</strong>g; despik<strong>in</strong>g; Numis Poly;<br />
References<br />
Dalgaard, E., Larsen, J.J., Auken, E. (submitted<br />
2012): Adaptive noise cancell<strong>in</strong>g of<br />
multichannel magnetic resonance sound<strong>in</strong>g<br />
signals: Geophysical Journal <strong>International</strong>.<br />
(submitted)<br />
Hoagl<strong>in</strong>, D. C., Mosteller, F., and Tukey, J. W.,<br />
2000, Understand<strong>in</strong>g robust and exploratory data<br />
analysis: Wiley classics library, 447.<br />
Mukhopadhyay, S. and Ray, G. C., 1998, A new<br />
<strong>in</strong>terpretation of nonl<strong>in</strong>ear energy operator and<br />
its efficacy <strong>in</strong> spike detection: IEEE Transactions<br />
on Biomedical Eng<strong>in</strong>eer<strong>in</strong>g, 45, 180-187.<br />
Walsh, D. O., 2008, Multi-channel surface NMR<br />
<strong>in</strong>strumentation and software for 1D/2D<br />
groundwater <strong>in</strong>vestigations: Journal of Applied<br />
Geophysics, 66, 140-150.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
26
Model-based cancell<strong>in</strong>g of powerl<strong>in</strong>e harmonics <strong>in</strong> multichannel MRS record<strong>in</strong>gs<br />
Model-based cancell<strong>in</strong>g of powerl<strong>in</strong>e harmonics <strong>in</strong> multichannel MRS<br />
record<strong>in</strong>gs<br />
Jakob Juul Larsen (1) , Esben Dalgaard (2) , Esben Auken (2)<br />
(1) Aarhus School of Eng<strong>in</strong>eer<strong>in</strong>g, Aarhus University, Denmark<br />
(2) Department of Geoscience, Aarhus University, Denmark<br />
jjl@iha.dk<br />
It is well known <strong>in</strong> <strong>the</strong> MRS community that<br />
MRS signals recorded <strong>in</strong> <strong>the</strong> vic<strong>in</strong>ity of manmade<br />
<strong>in</strong>stallations are often heavily<br />
contam<strong>in</strong>ated by noise. Before a useful MRS<br />
signal can be extracted from <strong>the</strong> measured data<br />
an efficient noise cancell<strong>in</strong>g must be<br />
performed. The two most important noise<br />
sources are harmonics of <strong>the</strong> fundamental<br />
powerl<strong>in</strong>e frequency and spikes from electrical<br />
discharges. In multichannel MRS systems one<br />
or several reference loops are used to record<br />
<strong>the</strong> local noise environment simultaneously<br />
with <strong>the</strong> MRS signal <strong>in</strong> <strong>the</strong> primary channel.<br />
By appropriately filter<strong>in</strong>g of <strong>the</strong> reference<br />
channels <strong>the</strong> noise can be subtracted from <strong>the</strong><br />
primary loop record. However, a necessary<br />
condition for this procedure to be efficient, is<br />
that <strong>the</strong> same filter is optimum for all noise<br />
sources. In practice, we have found that this<br />
condition is not fulfilled e.g. a filter that<br />
cancels powerl<strong>in</strong>e harmonics does not<br />
necessarily cancel spikes. In this paper we<br />
suggest to remedy to this problem by us<strong>in</strong>g a<br />
more elaborate signal process<strong>in</strong>g scheme<br />
where prior knowledge of <strong>the</strong> noise is used as<br />
previously suggested for s<strong>in</strong>gle channel MRS<br />
by Legchenko and Valla (2003). The signal <strong>in</strong><br />
<strong>the</strong> primary coil P(t) can be modelled as<br />
In <strong>the</strong> above equation FID(t) represents <strong>the</strong><br />
free-<strong>in</strong>duction decay signal of <strong>the</strong> sub-surface<br />
protons. The powerl<strong>in</strong>e harmonics are<br />
modelled as<br />
Where <strong>the</strong> summation is over all excited<br />
harmonics. The temporally short spikes are<br />
described by spikes(t) and w(t) represents all<br />
o<strong>the</strong>r noise contributions. This separation of<br />
<strong>the</strong> recorded signal <strong>in</strong>to powerl<strong>in</strong>e-related<br />
components and o<strong>the</strong>r components have<br />
previously been employed for o<strong>the</strong>r<br />
geophysical methods, see e.g. Butler and<br />
Russell (2003). The fundamental frequency of<br />
<strong>the</strong> powerl<strong>in</strong>e is not fixed but varies on a<br />
timescale of typically a few seconds. f0 must<br />
<strong>the</strong>refore be treated as a parameter to be<br />
determ<strong>in</strong>ed by fitt<strong>in</strong>g In this work f0 is<br />
assumed constant with<strong>in</strong> each measurent of a<br />
few 100 ms duration. The values of f0 and <strong>the</strong><br />
Aq and �q coefficients can be efficiently found<br />
with standard fitt<strong>in</strong>g methods. Once <strong>the</strong> model<br />
parameters have been determ<strong>in</strong>ed, xh(t) is<br />
subtracted from P(t) hereby remov<strong>in</strong>g <strong>the</strong><br />
powerl<strong>in</strong>e harmonics. Similarly, a model of <strong>the</strong><br />
powerl<strong>in</strong>e harmonics is <strong>in</strong>dependently<br />
constructed and subtracted for each reference<br />
channel.<br />
Experiments with this model-based cancell<strong>in</strong>g<br />
of powerl<strong>in</strong>e harmonics with data recorded<br />
with a Numis Poly have proven very effective<br />
with noise cancell<strong>in</strong>g on par with or exceed<strong>in</strong>g<br />
standard filter<strong>in</strong>g methods. In particular, <strong>the</strong><br />
method circumvents problems with jitter and<br />
uneven sampl<strong>in</strong>g frequencies between<br />
channels.<br />
Subsequent to model-based cancell<strong>in</strong>g of <strong>the</strong><br />
powerl<strong>in</strong>e harmonics <strong>the</strong> standard methods of<br />
multichannel noise cancell<strong>in</strong>g can be applied to<br />
reduce <strong>the</strong> <strong>in</strong>fluence of o<strong>the</strong>r noise sources.<br />
References<br />
Butler, K.E. and Russell, R.D. (2003) Cancellation<br />
of multiple harmonic noise series <strong>in</strong> geophysical<br />
records. Geophysics 68, 1083-1090.<br />
Legchenko, A. and Valla, P. (2003) Removal of<br />
power-l<strong>in</strong>e harmonics from proton magnetic<br />
resonance sound<strong>in</strong>g measurements. Journal of<br />
Applied Geophysics, 53, 103-120.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
27
Jo<strong>in</strong>t use of adaptive notch filter and empirical mode decomposition for noise cancellation<br />
applied to MRS<br />
Jo<strong>in</strong>t use of adaptive notch filter and empirical mode decomposition for<br />
noise cancellation applied to MRS<br />
Tian Baofeng, L<strong>in</strong> T<strong>in</strong>gt<strong>in</strong>g, Yi xiaofeng, Jiang Chuandong, L<strong>in</strong> Jun<br />
College of <strong>in</strong>strumentation and electrical eng<strong>in</strong>eer<strong>in</strong>g, JiL<strong>in</strong> University,Changchun,130061,Ch<strong>in</strong>a<br />
ttl<strong>in</strong>@jlu.edu.cn; tianbf@jlu.edu.cn<br />
<strong>Magnetic</strong> resonance sound<strong>in</strong>g (MRS) as a k<strong>in</strong>d<br />
of direct groundwater detection method has<br />
widespread application <strong>in</strong> hydrogeological<br />
<strong>in</strong>vestigation. However, <strong>the</strong> application of<br />
<strong>in</strong>strument has been limited by <strong>the</strong><br />
susceptibility to ambient and electromagnetic<br />
noise. Statistical stack<strong>in</strong>g and wavelet<br />
transform methods have <strong>the</strong> advantages for<br />
decreas<strong>in</strong>g and remov<strong>in</strong>g spike noise and<br />
random noise. Whereas, it is still difficult to<br />
achieve signal-noise separation well <strong>in</strong> <strong>the</strong><br />
presence of strong electromagnetic noise.<br />
Notch filter<strong>in</strong>g is <strong>the</strong> most common method to<br />
reduce 50Hz or 60Hz power transmission<br />
harmonics for FID signal collected by early<br />
version of NMR <strong>in</strong>strument, but signals can be<br />
distorted when <strong>the</strong> Larmor frequency is close<br />
to a multiple of fundamental frequency. The<br />
United States and France have successively<br />
developed full-wave data acquisition NMR<br />
systems, which could mitigate noise based on<br />
adaptive noise cancellation pr<strong>in</strong>cipleby us<strong>in</strong>g<br />
referencecoils. The prerequisite for <strong>the</strong><br />
application of this method depends on <strong>the</strong> fact<br />
that <strong>the</strong> noise of reference channel(s) has <strong>the</strong><br />
best correlation with <strong>the</strong> MRS-signal detection<br />
channel. Sometimes, <strong>the</strong> de-nois<strong>in</strong>g effect is<br />
not ideal due to <strong>the</strong> complexity and variability<br />
of <strong>the</strong> environmental noise and <strong>in</strong>homogeneous<br />
of <strong>the</strong> spatial distribution.<br />
Thus, <strong>in</strong> <strong>the</strong> present article, we propose a new<br />
method for signal-to-noise separation based on<br />
adaptive notch filter (ANF) and empirical<br />
mode decomposition (EMD). This method<br />
aims at process<strong>in</strong>g <strong>the</strong> whole wave MRS signal<br />
with no requirement for reference coils. ANF<br />
has <strong>the</strong> advantages of easy to control<br />
bandwidth, and <strong>the</strong> bandwidth depends on <strong>the</strong><br />
size of <strong>the</strong> adaptive step length parameter<br />
ma<strong>in</strong>ly. T2 is between <strong>in</strong> 30 ~ 1000 ms which<br />
is MRS signal transverse relaxation time, and<br />
its band range of frequency spectrum is<br />
limited. Based on this characteristic, <strong>the</strong><br />
method <strong>in</strong> this paper realize <strong>the</strong> separation of<br />
signal and noise prelim<strong>in</strong>arily through<br />
controll<strong>in</strong>g <strong>the</strong> step length parameters of ANF<br />
effectively to process MRS signal with Larmor<br />
frequency as <strong>the</strong> center frequency.<br />
However, <strong>the</strong> MRS signal separated from ANF<br />
still conta<strong>in</strong>s trace of noise by <strong>the</strong> <strong>in</strong>fluence of<br />
ANF bandwidth. EMD is <strong>the</strong> most effective<br />
means of <strong>the</strong> extraction signal trend as a new<br />
type of adaptive signal time doma<strong>in</strong> and<br />
frequency doma<strong>in</strong> process<strong>in</strong>g method. This<br />
method can divide <strong>the</strong> signal <strong>in</strong>to several<br />
<strong>in</strong>tr<strong>in</strong>sic mode function (IMF) accord<strong>in</strong>g to <strong>the</strong><br />
<strong>in</strong>put signal characteristic <strong>in</strong> case of absence of<br />
prior knowledge. The decomposition<br />
rema<strong>in</strong>der can represent <strong>the</strong> trend of <strong>the</strong> signal.<br />
Extract<strong>in</strong>g envelope from <strong>the</strong> separated MRS<br />
signal us<strong>in</strong>g Hilbert transform, and extract<strong>in</strong>g<br />
<strong>the</strong> attenuation curve us<strong>in</strong>g EMD denoise<br />
method. The results of numerical simulation<br />
suggest that, <strong>the</strong> performance of comb<strong>in</strong><strong>in</strong>g<br />
ANF and EMD is more effective than us<strong>in</strong>g<br />
ANF alone. The average signal-to-noise ratio<br />
can improve more than 12 dB, <strong>the</strong> mean error<br />
of <strong>the</strong> extracted <strong>in</strong>itial amplitude E0 and<br />
relaxation time T2 is less than 5% and 10%<br />
respectively. It has also proved <strong>the</strong><br />
effectiveness of <strong>the</strong> proposed method through<br />
process<strong>in</strong>g <strong>the</strong> measurement data. F<strong>in</strong>ally, we<br />
present <strong>the</strong> results of field data to substantiate<br />
<strong>the</strong> effectiveness of <strong>the</strong> proposed method.<br />
References<br />
Cai HanPeng, He ZhenHua, Huang DeJi. Seismic<br />
data denois<strong>in</strong>g based on mixed time-frequency<br />
methods. Applied Geophysics, 2011,8(4):319-<br />
327.<br />
Hayk<strong>in</strong>, S. (1996): Adaptive Filter Theory. Prentice<br />
Hall, Upper Saddle River, New Jersey.<br />
Jiang, C.D., L<strong>in</strong>, J., Duan, Q.M., et al. (2011):<br />
Statistical stack<strong>in</strong>g and adaptive notch filter to<br />
remove high-level electromagnetic noise from<br />
MRS measurements, Nuar Surface Geophysics,<br />
9:459-468.<br />
Legchenko, A., Valla, P. (2003): Removal of<br />
power-l<strong>in</strong>e harmonics from proton magnetic<br />
resonance measurements. Journal of Applied<br />
Geophysics 53, 103<strong>–</strong>120.<br />
Walsh, D.O. (2008): Multi-channel surface NMR<br />
<strong>in</strong>strumentation and software for 1D/2D<br />
groundwater <strong>in</strong>vestigations. Journal of Applied<br />
Geophysics, 66(3-4):140-150.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
28
Higher-Order Statistical Signal Process<strong>in</strong>g for Surface-NMR Electronic Instruments<br />
Higher-Order Statistical Signal Process<strong>in</strong>g for Surface-NMR Electronic<br />
Instruments<br />
Rafik Soltani, Lizhi Xiao<br />
State Key Laboratory of Petroleum Resources and Prospect<strong>in</strong>g, Ch<strong>in</strong>a University of Petroleum, Beij<strong>in</strong>g, Ch<strong>in</strong>a<br />
rafiksoltani2008@gmail.com<br />
In so many practical cases, <strong>the</strong> surface-NMR<br />
measurements may feature very low signal-tonoise<br />
ratios (SNR's). The SNR's can be low <strong>in</strong><br />
cases of low free-water content, relatively deep<br />
groundwater, low <strong>in</strong>tensities of <strong>the</strong> Earth’s<br />
magnetic field, conductive subsurface, or<br />
presence of field noises such as RFI (radiofrequency<br />
<strong>in</strong>terferences). Therefore, it is very<br />
important to use robust signal process<strong>in</strong>g<br />
software to improve <strong>the</strong> recovery of <strong>the</strong> very<br />
weak underly<strong>in</strong>g FID signals from surface-<br />
NMR measurements. We propose a cumulantbased<br />
process<strong>in</strong>g scheme for <strong>the</strong> extraction of<br />
FID signals from MRS data. Cumulants are<br />
higher-order statistics (HOS) that are wellknown<br />
as automatic enhancers of SNR's. That<br />
is, by process<strong>in</strong>g MRS data <strong>in</strong>to <strong>the</strong> doma<strong>in</strong>s of<br />
<strong>the</strong>ir cumulants, <strong>the</strong> robustness to additive<br />
noise can be <strong>in</strong>creased. The follow<strong>in</strong>g signal<br />
process<strong>in</strong>g algorithms will be presented.<br />
Algorithm 1: Cumulant-based Mono-<br />
Exponential FID Estimator<br />
We present a fourth-order cumulant-based<br />
estimator for <strong>the</strong> extraction of monoexponential<br />
FID signals from MRS data. We<br />
demonstrate and illustrate <strong>the</strong> greater<br />
robustness to additive noise of this estimator<br />
over <strong>the</strong> currently and mostly used NLS<br />
estimators. That is, such a new estimator<br />
improves <strong>the</strong> extraction of MRS curves.<br />
Algorithm 2: Cumulant-based Multi-<br />
Exponential FID Estimator<br />
This estimator is an extension of <strong>the</strong> previous<br />
one from <strong>the</strong> mono-exponential to <strong>the</strong> multiexponential<br />
FID. It is also based on fourthorder<br />
cumulants. The robustness to additive<br />
noise of this estimator will be illustrated via<br />
examples.<br />
Algorithm 3: Adaptive Cumulant-based<br />
Canceler of RFI from Surface-NMR Data<br />
We present a fourth-order cumulant-based RFI<br />
canceler for multichannel surface-NMR<br />
<strong>in</strong>struments. This adaptive canceler can be<br />
viewed as an extension, from second-order to<br />
fourth-order statistics, of <strong>the</strong> classic adaptive<br />
LMS canceler. Thus, it helps to improve<br />
robustness to RFI <strong>in</strong> MRS data. We illustrate<br />
<strong>the</strong> performance of this canceler via examples.<br />
Algorithm 4: Adaptive ICA-based Canceler<br />
of RFI from Surface-NMR Data<br />
ICA (<strong>in</strong>dependent component analysis) is a<br />
HOS-based computational technique for<br />
separation of l<strong>in</strong>ear mixtures of statistically<br />
<strong>in</strong>dependent signals. We present an adaptive<br />
ICA-based RFI canceler for multichannel<br />
surface-NMR <strong>in</strong>struments. This canceler<br />
adaptively performs higher-order decorrelation<br />
between <strong>the</strong> canceler output signal and its<br />
reference <strong>in</strong>put signal. That is, it can be viewed<br />
as an extension, from second-order to higherorder<br />
statistics, of <strong>the</strong> classic adaptive LMS<br />
canceler. Thus, it helps to fur<strong>the</strong>r improve <strong>the</strong><br />
robustness to RFI <strong>in</strong> surface-NMR data. The<br />
performance of this canceler will be illustrated<br />
through examples.<br />
Conclusions<br />
It is possible to develop complete cumulantbased<br />
process<strong>in</strong>g software for surface-NMR<br />
<strong>in</strong>struments. Such software performs both <strong>the</strong><br />
adaptive cancelations of eventual RFI as well<br />
as mono-/multi-exponential fitt<strong>in</strong>g. The ma<strong>in</strong><br />
feature of such process<strong>in</strong>g software is its<br />
improved robustness to noise by comparison to<br />
<strong>the</strong> currently used MLS cancelers and NLS<br />
estimators. The process<strong>in</strong>g scheme presented<br />
here<strong>in</strong> is be<strong>in</strong>g described <strong>in</strong> details and<br />
illustrated by a variety of examples <strong>in</strong> a new<br />
book by <strong>the</strong> same authors of this abstract. Such<br />
a book is actually entitled as “Higher-Order<br />
Statistical Signal Process<strong>in</strong>g for Surface<br />
Nuclear <strong>Magnetic</strong> <strong>Resonance</strong> Instruments <strong>–</strong> A<br />
Non<strong>in</strong>vasive and Direct Electronic Technology<br />
for Hydrogeophysics and Hydrogeology”.<br />
Acknowledgments: We s<strong>in</strong>cerely thank all <strong>the</strong><br />
people, for <strong>the</strong>ir good wills, to provid<strong>in</strong>g us<br />
MRS datasets and any useful <strong>in</strong>formation,<br />
ei<strong>the</strong>r directly or <strong>in</strong>directly.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
29
Identification and elim<strong>in</strong>ation of spiky noise features <strong>in</strong> MRS data<br />
Identification and elim<strong>in</strong>ation of spiky noise features <strong>in</strong> MRS data<br />
Stephan Costabel 1 and Mike Müller-Petke 2<br />
1 Federal Institute for Geosciences and Natural Resources, Berl<strong>in</strong><br />
2 Leibniz Institute for Applied Geophysics, Hannover<br />
stephan.costabel@bgr.de<br />
S<strong>in</strong>ce time series <strong>in</strong> MRS can be recorded by<br />
multiple detection channels simultaneously,<br />
<strong>the</strong> cancellation of harmonic noise by us<strong>in</strong>g<br />
additional noise reference loops has become<br />
possible (Walsh, 2008). This opportunity has<br />
greatly extended <strong>the</strong> applicability for MRS:<br />
Recent case studies show that successful MRS<br />
measurements can be conducted with quite<br />
good quality even near hous<strong>in</strong>g or power<br />
l<strong>in</strong>es. However, if <strong>the</strong> noise consists of<br />
randomly <strong>in</strong>terfer<strong>in</strong>g signals with short length<br />
(some milliseconds) and high amplitudes (up<br />
to a view microVolt), e.g. <strong>in</strong> <strong>the</strong> vic<strong>in</strong>ity of<br />
radio masts or electric fences, MRS<br />
measurements persist be<strong>in</strong>g very difficult.<br />
If spiky noise features appear <strong>in</strong> MRS data, <strong>the</strong><br />
remote reference technique fails, because <strong>the</strong><br />
calculation of stable transfer functions between<br />
<strong>the</strong> MRS signal loop and <strong>the</strong> noise reference<br />
loops is not possible. A conventional method<br />
to avoid spiky noise is to def<strong>in</strong>e a threshold<br />
dur<strong>in</strong>g <strong>the</strong> measurement to refuse time series<br />
with extremely high voltages. However, this<br />
method often leads to an unacceptable long<br />
measurement duration for <strong>the</strong> entire sound<strong>in</strong>g.<br />
Consequently, <strong>the</strong> prefered strategy is to accept<br />
all signals and to elim<strong>in</strong>ate only <strong>the</strong> corrupted<br />
parts of <strong>the</strong> time series with adequate postprocess<strong>in</strong>g<br />
techniques (Strehl et al., 2006).<br />
We tested and compared three post-process<strong>in</strong>g<br />
methods to elim<strong>in</strong>ate f<strong>in</strong>ite <strong>in</strong>terfer<strong>in</strong>g signals<br />
from an MRS dataset, which was measured at<br />
<strong>the</strong> test site Fuhrberger Feld and shows heavy<br />
distortions with spiky noise. Us<strong>in</strong>g common<br />
process<strong>in</strong>g schemes, this data can hardly be<br />
<strong>in</strong>terpreted. In our study, we focussed, first, on<br />
<strong>the</strong> possibility to automate <strong>the</strong> algorithms to<br />
identify and elim<strong>in</strong>ate <strong>the</strong> spiky noise features<br />
and, second, on <strong>the</strong> capability of <strong>the</strong>se<br />
algorithms to be comb<strong>in</strong>ed with process<strong>in</strong>g<br />
tools for harmonic noise cancellation (HNC).<br />
The first method identifies and elim<strong>in</strong>ates<br />
<strong>in</strong>terfer<strong>in</strong>g signals <strong>in</strong> <strong>the</strong> time doma<strong>in</strong> by<br />
search<strong>in</strong>g for high voltage <strong>in</strong>duction, i.e.,<br />
spike-like pattern above a certa<strong>in</strong> threshold.<br />
The second approach is based on <strong>the</strong> univariate<br />
wavelet transform (WT) of <strong>the</strong> measured time<br />
series. The <strong>in</strong>terfer<strong>in</strong>g signal is identified and<br />
isolated <strong>in</strong> <strong>the</strong> wavelet doma<strong>in</strong> and, after <strong>the</strong><br />
<strong>in</strong>verse WT back <strong>in</strong>to <strong>the</strong> time doma<strong>in</strong>,<br />
subtracted from <strong>the</strong> orig<strong>in</strong>al time series (Strehl<br />
et al., 2006). The third approach uses <strong>the</strong><br />
multivariate WT and takes advantage of <strong>the</strong><br />
multi-channel detection (Am<strong>in</strong>ghafari et al.,<br />
2006).<br />
It is shown that all procedures can easily be<br />
applied automatically, and can <strong>the</strong>refore easily<br />
be implemented on demand ei<strong>the</strong>r as black box<br />
processes or as user controlled schemes <strong>in</strong>to<br />
exist<strong>in</strong>g post-process<strong>in</strong>g strategies. All<br />
techniques improved <strong>the</strong> signal-to-noise ratio<br />
(SNR) from 2 to about 5.5. Regard<strong>in</strong>g <strong>the</strong><br />
comb<strong>in</strong>ation with <strong>the</strong> HNC, <strong>the</strong> univariate WT<br />
approach shows a serious shortcom<strong>in</strong>g: After<br />
<strong>the</strong> application of <strong>the</strong> WT filter, <strong>the</strong> coherence<br />
of <strong>the</strong> noise pattern <strong>in</strong> <strong>the</strong> MRS signal to <strong>the</strong><br />
remote references gets lost to some extent.<br />
Consequently, <strong>the</strong> SNR decreases from 5.5 to 3<br />
after successive application of <strong>the</strong> univariate<br />
WT and <strong>the</strong> HNC. This shortcom<strong>in</strong>g was not<br />
found for <strong>the</strong> multivariate WT. Both, <strong>the</strong><br />
multivariate WT approach and <strong>the</strong> time doma<strong>in</strong><br />
threshold<strong>in</strong>g approach could f<strong>in</strong>ally reach an<br />
SNR of more than 7, when comb<strong>in</strong>ed with<br />
HNC.<br />
References<br />
Am<strong>in</strong>ghafari, M., Cheze, N., Poggi, J.-M.<br />
(2006): Multivariate denois<strong>in</strong>g us<strong>in</strong>g<br />
wavelets and pr<strong>in</strong>cipal component analysis,<br />
Computational Statistics & Data Analysis<br />
50, 2381-2398.<br />
Strehl, S., Rommel, I., Hertrich, M. and<br />
Yaramanci, U. (2006): New strategies for fitt<strong>in</strong>g<br />
and filter<strong>in</strong>g of MRS signals. Proceed<strong>in</strong>gs of 3 rd<br />
<strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g <strong>International</strong><br />
Workshop, Madrid-Tres Cantos, Spa<strong>in</strong>.<br />
Walsh, D. O. (2008): Multi-channel surface NMR<br />
<strong>in</strong>strumentation and software for 1D/2D<br />
groundwater <strong>in</strong>vestigations. Journal of Applied<br />
Geophysics, 66, 140-150.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
30
MRS noise <strong>in</strong>vestigations with focus on optimiz<strong>in</strong>g <strong>the</strong> measurement setup <strong>in</strong> <strong>the</strong> field<br />
MRS noise <strong>in</strong>vestigations with focus on optimiz<strong>in</strong>g <strong>the</strong> measurement setup<br />
<strong>in</strong> <strong>the</strong> field<br />
Stephan Costabel 1 and Mike Müller-Petke 2<br />
1 Federal Institute for Geosciences and Natural Resources, Berl<strong>in</strong><br />
2 Leibniz Institute for Applied Geophysics, Hannover<br />
stephan.costabel@bgr.de<br />
By us<strong>in</strong>g multi-channel MRS equipment <strong>the</strong><br />
opportunity to cancel harmonic noise from<br />
MRS data can be taken (Walsh, 2008). In<br />
addition to <strong>the</strong> MRS measurement loop, one or<br />
more reference loops are placed <strong>in</strong> an<br />
appropriate distance (remote reference) to<br />
measure <strong>the</strong> noise simultaneously. In <strong>the</strong> postprocess<strong>in</strong>g<br />
of <strong>the</strong> data, <strong>the</strong> electromagnetical<br />
(EM) transfer functions (TF) of <strong>the</strong> reference<br />
loop(s) to <strong>the</strong> measurement loop are calculated<br />
and used to predict <strong>the</strong> noise part <strong>in</strong> <strong>the</strong> MRS<br />
signal channel. F<strong>in</strong>ally, <strong>the</strong> predicted noise<br />
trace is substracted from <strong>the</strong> measured signal,<br />
which leads to a significant cancellation of <strong>the</strong><br />
harmonic noise.<br />
The quality of <strong>the</strong> noise cancellation technique<br />
us<strong>in</strong>g remote references depends on <strong>the</strong> setup<br />
of <strong>the</strong> reference loops, i.e., on <strong>the</strong> quality of <strong>the</strong><br />
harmonic noise signal and on <strong>the</strong> spatial<br />
coherence of <strong>the</strong> noise. Often, <strong>the</strong> same loop<br />
layout (size and number of turns) as <strong>the</strong><br />
measurement loop is preferred, which<br />
multiplies time and effort <strong>in</strong> <strong>the</strong> field.<br />
Consequently, <strong>the</strong> work<strong>in</strong>g progress <strong>in</strong> <strong>the</strong><br />
field slows down, which is, <strong>in</strong> particular, a<br />
serious problem when perform<strong>in</strong>g 2D<br />
measurements.<br />
We have conducted systematic <strong>in</strong>vestigations<br />
to f<strong>in</strong>d a trade-off between m<strong>in</strong>imiz<strong>in</strong>g time<br />
and effort <strong>in</strong> <strong>the</strong> field and apply<strong>in</strong>g <strong>the</strong> noise<br />
cancellation successfully. In do<strong>in</strong>g so, we<br />
concentrate on three basic ideas. First,<br />
decreas<strong>in</strong>g <strong>the</strong> size of <strong>the</strong> reference loop: A<br />
reference loop much smaller than <strong>the</strong><br />
measurement loop is positioned much faster.<br />
The quality of <strong>the</strong> noise <strong>in</strong>duction, which<br />
decreases with decreas<strong>in</strong>g loop size, is<br />
ma<strong>in</strong>ta<strong>in</strong>ed by a higher number of turns <strong>in</strong> <strong>the</strong><br />
reference loop. This strategy can successfully<br />
be applied, unless <strong>the</strong> difference <strong>in</strong> loop size is<br />
not below approximately one tenth. In this<br />
case, <strong>the</strong> spatial coherence between <strong>the</strong> two<br />
loops gets lost.<br />
Second, <strong>the</strong> use of very small and handy<br />
reference loops (1 sq m) to measure <strong>the</strong> x and y<br />
components of <strong>the</strong> EM field for <strong>the</strong> TF<br />
calculation. Follow<strong>in</strong>g <strong>the</strong> EM <strong>the</strong>ory, <strong>the</strong> z<br />
component (i.e., <strong>the</strong> measurement loop) is<br />
completely described by a l<strong>in</strong>ear comb<strong>in</strong>ation<br />
of <strong>the</strong> x and y components, at least, for <strong>the</strong> farfield<br />
condition. Consequently, measur<strong>in</strong>g <strong>the</strong> x<br />
and y components as remote references leads<br />
to a successful noise cancellation. However, it<br />
fails if <strong>the</strong> site of <strong>in</strong>vestigation is located <strong>in</strong> <strong>the</strong><br />
near vic<strong>in</strong>ity of a potential noise source.<br />
Third, we <strong>in</strong>vestigated <strong>the</strong> spacial noise<br />
coherence <strong>in</strong> <strong>the</strong> presence of two potential<br />
noise sources. In do<strong>in</strong>g so, we verified <strong>the</strong><br />
necessity of us<strong>in</strong>g one remote reference loop<br />
for each noise source. Unfortunately, <strong>the</strong><br />
attempt to ga<strong>the</strong>r <strong>the</strong> noise <strong>in</strong>formation from<br />
both sources with just one reference channel<br />
lead to unacceptable results.<br />
Optimiz<strong>in</strong>g <strong>the</strong> noise cancellation technique is<br />
an ongo<strong>in</strong>g research field. Fur<strong>the</strong>r ga<strong>the</strong>r<strong>in</strong>g<br />
and exchang<strong>in</strong>g <strong>the</strong> experiences <strong>in</strong> that area<br />
helps <strong>the</strong> MRS community to improve and<br />
optimize <strong>the</strong>ir field experiments.<br />
References<br />
Walsh, D. O. (2008): Multi-channel surface NMR<br />
<strong>in</strong>strumentation and software for 1D/2D<br />
groundwater <strong>in</strong>vestigations. Journal of Applied<br />
Geophysics, 66, 140-150.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
31
A comparison of harmonic noise cancellation concepts<br />
A comparison of harmonic noise cancellation concepts<br />
Mike Müller-Petke 1 and Stephan Costabel 2<br />
1 Leibniz Institute for Applied Geophysics, Hannover<br />
2 Federal Institute for Geosciences and Natural Resources, Berl<strong>in</strong><br />
mike.mueller-petke@liag-hannover.de<br />
Us<strong>in</strong>g multi-channel MRS equipment allows<br />
for cancell<strong>in</strong>g harmonic noise from MRS data<br />
(Walsh, 2008). In addition to <strong>the</strong> MRS<br />
measurement loop, one or more reference<br />
loops are placed <strong>in</strong> an appropriate distance<br />
(remote reference) to measure <strong>the</strong> noise<br />
simultaneously. In <strong>the</strong> post-process<strong>in</strong>g of <strong>the</strong><br />
data, <strong>the</strong> electromagnetical (EM) transfer<br />
functions (TF) of <strong>the</strong> reference loop(s) to <strong>the</strong><br />
measurement loop are calculated and used to<br />
predict <strong>the</strong> noise part <strong>in</strong> <strong>the</strong> MRS signal<br />
channel. F<strong>in</strong>ally, <strong>the</strong> predicted noise trace is<br />
substracted from <strong>the</strong> measured signal, which<br />
leads to a significant cancellation of <strong>the</strong><br />
harmonic noise.<br />
The quality of <strong>the</strong> noise cancellation (NC)<br />
depends on several factors that we have<br />
<strong>in</strong>vestigated. We dist<strong>in</strong>guish between practical<br />
parameter to be optimized <strong>in</strong> <strong>the</strong> field as<br />
presented <strong>in</strong> Costabel and Müller-Petke (2012)<br />
and <strong>the</strong>oretical aspects present <strong>in</strong> <strong>the</strong><br />
follow<strong>in</strong>g.<br />
1. There are different approaches to<br />
calculate <strong>the</strong> TF. For <strong>in</strong>stance Dalgaard et.al.<br />
(2012) <strong>in</strong>vestigated <strong>the</strong> differences <strong>in</strong> time<br />
doma<strong>in</strong> us<strong>in</strong>g Wiener filter<strong>in</strong>g compared to<br />
adaptive filter. We present a comparison of<br />
TFs <strong>in</strong> <strong>the</strong> time doma<strong>in</strong> and frequency doma<strong>in</strong>.<br />
2. The stability of both <strong>the</strong> filter (i.e. <strong>the</strong><br />
stability of <strong>the</strong> <strong>in</strong>verse problem) and <strong>the</strong><br />
harmonic noise over <strong>the</strong> measurement time.<br />
We present two different approaches <strong>in</strong> <strong>the</strong><br />
frequency doma<strong>in</strong>. A global approach tak<strong>in</strong>g<br />
all available measurements <strong>in</strong>to account and a<br />
local approach calculat<strong>in</strong>g <strong>the</strong> TF us<strong>in</strong>g only<br />
one measurement.<br />
3. The complexity of harmonic noise. We<br />
dist<strong>in</strong>guish between one source of noise with<br />
its higher harmonics and random distributed<br />
harmonics.<br />
4. If <strong>the</strong> harmonic noise is significantly<br />
chang<strong>in</strong>g with time it is necessary to calculate<br />
<strong>the</strong> TF us<strong>in</strong>g <strong>the</strong> measurement that conta<strong>in</strong>s <strong>the</strong><br />
signal <strong>in</strong>stead of us<strong>in</strong>g <strong>the</strong> pure noise record.<br />
We show how this <strong>in</strong>fluences <strong>the</strong> quality of<br />
NC, especially if <strong>the</strong> NMR frequency is close<br />
to a harmonic noise frequency.<br />
In conclusion we show that <strong>the</strong> local frequency<br />
doma<strong>in</strong> approach will be appropriate for most<br />
practical cases.<br />
References<br />
Dalgaard, E., Auken, E. and Larsen, J. (2012).<br />
Noise cancell<strong>in</strong>g of multichannel magnetic<br />
resonance sound<strong>in</strong>g signals. Geophysical Journal<br />
<strong>International</strong>. In pr<strong>in</strong>t.<br />
Costabel, S. and Müller-Petke, M. (2012). MRS<br />
noise <strong>in</strong>vestigations with focus on optimiz<strong>in</strong>g <strong>the</strong><br />
measurement setup <strong>in</strong> <strong>the</strong> field. Proceed<strong>in</strong>g of<br />
<strong>the</strong> 5 th <strong>in</strong>ternational meet<strong>in</strong>g on <strong>Magnetic</strong><br />
<strong>Resonance</strong>.<br />
Walsh, D. O. (2008): Multi-channel surface NMR<br />
<strong>in</strong>strumentation and software for 1D/2D<br />
groundwater <strong>in</strong>vestigations. Journal of Applied<br />
Geophysics, 66, 140-150.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
32
Model<strong>in</strong>g and Inversion<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
33
The case for comprehensive frequency-doma<strong>in</strong> <strong>in</strong>version of surface NMR data<br />
The case for comprehensive frequency-doma<strong>in</strong> <strong>in</strong>version of surface NMR<br />
data<br />
Trevor Irons 1,2 , Yaoguo Li 1 , Jared D. Abraham 2 , and Jason R. McKenna 3<br />
1 Colorado School of M<strong>in</strong>es, 2 U.S. Army Eng<strong>in</strong>eer Research & Development Center<br />
tirons@m<strong>in</strong>es.edu, ygli@m<strong>in</strong>es.edu, jdabraha@usgs.gov, Jason.R.McKenna@usace.army.mil<br />
Surface NMR (sNMR) experiments <strong>in</strong>volve<br />
large number of data. The data size of a FID<br />
survey with a co<strong>in</strong>cident transmitter and<br />
receiver can easily exceed 100 000 samples.<br />
The <strong>in</strong>creased adoption of Hahn-echo and<br />
pseudo-saturation recovery experiments<br />
compounds this problem due to <strong>the</strong> multiplepulse<br />
data. Fur<strong>the</strong>rmore, <strong>the</strong> use of multiplechannel<br />
<strong>in</strong>struments causes <strong>the</strong> data space to<br />
scale with <strong>the</strong> number of receiver channels<br />
(Dlugosch et al., 2011). Three-dimensional<br />
sNMR surveys us<strong>in</strong>g multiple pulses can easily<br />
<strong>in</strong>volve millions of data.<br />
The sNMR <strong>in</strong>verse problem is ill-posed and<br />
suffers from low signal-to-noise; performance<br />
improves dramatically with <strong>the</strong> comprehensive<br />
<strong>in</strong>clusion of <strong>the</strong> complete dataset (Mueller-<br />
Petke and Yaramanci, 2010). However, s<strong>in</strong>ce<br />
<strong>the</strong> computational cost of an <strong>in</strong>version scales<br />
with <strong>the</strong> problem size, <strong>the</strong> large data space of<br />
sNMR datasets poses a challenge with this<br />
approach. This problem is compounded by <strong>the</strong><br />
use of multiple pulses and receiver channels.<br />
There exists a clear need for a compressive<br />
<strong>in</strong>version scheme that preserves <strong>the</strong> data<br />
content, but reduces <strong>the</strong> size of <strong>the</strong> data space.<br />
A common approach for data reduction is to<br />
demodulate <strong>the</strong> time-series through quadrature<br />
detection and <strong>the</strong>n down sample. Implicit <strong>in</strong><br />
this conversion is <strong>the</strong> transformation of <strong>the</strong><br />
problem to <strong>the</strong> rotat<strong>in</strong>g frame. Off-resonance<br />
transmission and static magnetic field<br />
variations cause complicated artifacts <strong>in</strong> this<br />
frame (Walbrecker et al., 2011). Down<br />
sampl<strong>in</strong>g <strong>in</strong> <strong>the</strong> time-doma<strong>in</strong> also removes<br />
signal at <strong>the</strong> same rate as <strong>the</strong> decimation.<br />
Alternatively, <strong>the</strong> signal can be demodulated <strong>in</strong><br />
<strong>the</strong> Fourier-doma<strong>in</strong>. The sNMR data is band<br />
limited, and only a narrow frequency band<br />
around <strong>the</strong> Larmor frequency conta<strong>in</strong>s signal.<br />
The rest of <strong>the</strong> data is <strong>in</strong> <strong>the</strong> null-space of <strong>the</strong><br />
sNMR imag<strong>in</strong>g kernel, and may be safely<br />
dismissed. This not only provides high levels<br />
of compression, typically about 25 times, but<br />
also improves <strong>the</strong> condition number of <strong>the</strong><br />
underly<strong>in</strong>g <strong>in</strong>verse problem. Most importantly,<br />
no signal is lost <strong>in</strong> this transformation and<br />
decimation.<br />
There are several o<strong>the</strong>r advantages. The sNMR<br />
data are typically subjected to Fourier-doma<strong>in</strong><br />
filters with some amount of ripple and/or phase<br />
distortion. These effects can easily be<br />
<strong>in</strong>tegrated <strong>in</strong>to frequency-doma<strong>in</strong> forward<br />
modeled data. Off-resonance transmission<br />
effects are more straightforward.<br />
Under this framework, it is also easy to<br />
<strong>in</strong>corporate dephas<strong>in</strong>g dynamics of sp<strong>in</strong>s under<br />
<strong>the</strong> fast-diffusion approximation. This dephas<strong>in</strong>g<br />
<strong>in</strong>troduces non-exponential decay that<br />
cannot be fit with s<strong>in</strong>gle or multiple<br />
exponential terms, but can easily be<br />
<strong>in</strong>corporated <strong>in</strong> <strong>the</strong> frequency-doma<strong>in</strong> imag<strong>in</strong>g<br />
kernel. This feature allows <strong>in</strong>versions to<br />
achieve much lower data misfit under<br />
appropriate circumstances, and can be critical.<br />
In this paper, a constra<strong>in</strong>ed 1-D frequencydoma<strong>in</strong><br />
sNMR <strong>in</strong>version us<strong>in</strong>g <strong>the</strong><br />
comprehensive approach <strong>in</strong> <strong>the</strong> frequency<br />
doma<strong>in</strong> is presented. A logarithmic barrier<br />
method comb<strong>in</strong>ed with Tikhonov<br />
regularisation approach is adopted. An L-curve<br />
criterion is used to determ<strong>in</strong>e <strong>the</strong> optimal<br />
regularization parameter. Application to two<br />
field data sets which exhibit non-exponential<br />
decay acquired at different locations has<br />
produced improved results over conventional<br />
methods.<br />
References<br />
Dlugosch, R., M. Müeller-Petke, T. Gün<strong>the</strong>r, S.<br />
Costabel, and U. Yaramanci, 2011, Assessment<br />
of <strong>the</strong> potential of a new generation of surface<br />
nuclear magnetic resonance <strong>in</strong>struments: Near<br />
Surface Geophysics, 9, 169<strong>–</strong>178.<br />
Müeller-Petke, M., and U. Yaramanci, 2010, Qt<br />
<strong>in</strong>version — comprehensive use of <strong>the</strong> complete<br />
surface NMR data set: Geophysics, 75, WA199<strong>–</strong><br />
WA209.<br />
Walbrecker, J. O., M. Hertrich, and A. G. Green,<br />
2011, Off-resonance effects <strong>in</strong> surface nuclear<br />
magnetic resonance: Geophysics, 76, G1<strong>–</strong>12.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
34
Inversion of T1 relaxation times based on pcPSR measurements - Syn<strong>the</strong>tic examples<br />
Inversion of T1 relaxation times based on pcPSR measurements - Syn<strong>the</strong>tic<br />
examples<br />
Mike Müller-Petke 1 and Jan O. Walbrecker 2<br />
1 Leibniz Institute for Applied Geophysics, Hannover, Germany<br />
2 Stanford University, Department of Geophysics, Stanford, USA<br />
mike.mueller-petke@liag-hannover.de<br />
The ability of estimat<strong>in</strong>g hydraulic<br />
conductivties K from Surface Nuclear<br />
<strong>Magnetic</strong> <strong>Resonance</strong> (SNMR) measurements is<br />
one of <strong>the</strong> ma<strong>in</strong> reasons of <strong>the</strong> <strong>in</strong>creas<strong>in</strong>g<br />
<strong>in</strong>terest <strong>in</strong> this technique <strong>in</strong> <strong>the</strong> field of<br />
hydrogeophysics. The key of estimat<strong>in</strong>g K is<br />
<strong>the</strong> sensitivity of NMR relaxation times to pore<br />
sizes. However, it is well known, both <strong>in</strong> field<br />
and laboratory applications, that <strong>the</strong> relaxation<br />
time T2* obta<strong>in</strong>ed from <strong>the</strong> free <strong>in</strong>duction<br />
decay (FID) is controlled not only by pore<br />
sizes, but also by magnetic <strong>in</strong>homogeneities,<br />
which do not affect T1 relaxation.<br />
Legchenko et al. (2004) published a T1<br />
measurement and <strong>in</strong>version scheme for SNMR.<br />
The scheme, named pseudosaturation recovery<br />
(PSR), consists of a double-pulse experiment,<br />
i.e. two pulses separated by a time tau. In PSR<br />
<strong>the</strong> FID recorded after <strong>the</strong> second pulse is <strong>the</strong>n<br />
used to <strong>in</strong>vert for <strong>the</strong> T1 relaxation time. The<br />
PSR scheme has been widely applied s<strong>in</strong>ce its<br />
<strong>in</strong>troduction, typically us<strong>in</strong>g data from a s<strong>in</strong>gle<br />
double-pulse experiment (i.e., tau).<br />
Walbrecker et al. (2011a) showed that such<br />
double-pulse experiments are highly<br />
<strong>in</strong>fluenced by off-resonance effects that are<br />
<strong>in</strong>evitable <strong>in</strong> SNMR. In addition, Walbrecker<br />
et. al. (2011b) showed that PSR is <strong>in</strong>fluenced<br />
by <strong>the</strong> T2* relaxation, which has not been<br />
taken <strong>in</strong>to account dur<strong>in</strong>g <strong>the</strong> <strong>in</strong>version of PSR<br />
data. The authors proposed a new<br />
measurement sequence us<strong>in</strong>g a phase-cycled<br />
pseudosaturation recovery (pcPSR) that<br />
m<strong>in</strong>imizes <strong>the</strong> <strong>in</strong>fluence of both, off-resonance<br />
and T2*, effects.<br />
Based on Walbrecker et al. (2011) we<br />
developed an <strong>in</strong>version scheme to estimate <strong>the</strong><br />
distribution of T1 <strong>in</strong> <strong>the</strong> subsurface. S<strong>in</strong>ce <strong>the</strong><br />
SNMR kernel function becomes a function of<br />
<strong>the</strong> T1 distribution <strong>in</strong> <strong>the</strong> subsurface, <strong>the</strong><br />
<strong>in</strong>verse problem becomes higly non-l<strong>in</strong>ear and<br />
time consum<strong>in</strong>g to solve. Our <strong>in</strong>version<br />
approach is based on <strong>the</strong> QT <strong>in</strong>version concept<br />
(Müller-Petke & Yaramanci, 2010), extended<br />
to take account for <strong>the</strong> T1 <strong>in</strong>fluence on <strong>the</strong><br />
kernel function. In addition to <strong>the</strong> details of our<br />
<strong>in</strong>version approach we present a syn<strong>the</strong>tic<br />
example to address <strong>the</strong> follow<strong>in</strong>g practical<br />
issues that are important for SNMR T1<br />
surveys:<br />
1. How many sound<strong>in</strong>gs (i.e., tau’s) are<br />
required for a T1 <strong>in</strong>version?<br />
2. How sensitive is SNMR to changes <strong>in</strong><br />
<strong>the</strong> T1 parameter (<strong>in</strong> <strong>the</strong> presence of<br />
noise)?<br />
3. How far off is <strong>the</strong> old <strong>in</strong>version<br />
scheme based on PSR data?<br />
References<br />
Legchenko, A., Baltassat, J.-M., Bobachev, A.,<br />
Mart<strong>in</strong>, C., Roba<strong>in</strong>, H. & Vouillamoz, J.-M.<br />
(2004): <strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g Applied<br />
to Aquifer Characterization. Ground Water,<br />
Blackwell Publish<strong>in</strong>g Ltd, 42 (3), 363-373.<br />
Mueller-Petke, M. & Yaramanci, U. (2010): QT<br />
<strong>in</strong>version --- Comprehensive use of <strong>the</strong> complete<br />
surface NMR data set. Geophysics, SEG, 75 (4),<br />
WA199-WA209.<br />
Walbrecker, J. O., Hertrich, M. & Green, A. G.<br />
(2011a): Off-resonance effects <strong>in</strong> surface nuclear<br />
magnetic resonance. Geophysics, SEG, 76 (2),<br />
G1-G12.<br />
Walbrecker, J. O., Hertrich, M., Lehmann-Horn, J.<br />
A. & Green, A. G. (2011b): Estimat<strong>in</strong>g <strong>the</strong><br />
longitud<strong>in</strong>al relaxation time T1 <strong>in</strong> surface NMR.<br />
Geophysics, SEG, 76 (2), F111-F122.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
35
Inversion of surface-NMR T1 data: results from two field sites with reference to borehole<br />
logg<strong>in</strong>g 36<br />
Inversion of surface-NMR T1 data: results from two field sites with<br />
reference to borehole logg<strong>in</strong>g<br />
Jan O. Walbrecker 1* , Mike Müller-Petke 2 , Rosemary Knight 1 , Ugur Yaramanci 2<br />
1 Stanford University, Department of Geophysics, Stanford, USA<br />
2 Leibniz Institute for Applied Geophysics, Hannover, Germany<br />
* jan.walbrecker@stanford.edu<br />
For any study address<strong>in</strong>g <strong>the</strong> quantity of<br />
producible water <strong>in</strong> groundwater aquifers <strong>the</strong><br />
hydraulic conductivity is a crucial piece of<br />
<strong>in</strong>formation. Because hydraulic conductivity<br />
can be <strong>in</strong>ferred through empirical relations<br />
from <strong>the</strong> NMR relaxation times, <strong>the</strong>y are<br />
important measurement parameters <strong>in</strong> many<br />
surface-NMR applications. Unfortunately, <strong>the</strong><br />
relaxation time most readily available from<br />
surface-NMR measurements, <strong>the</strong> effective<br />
transverse relaxation time T2 * , is strongly<br />
affected by <strong>the</strong> presence of magnetic species.<br />
In many realistic situations <strong>the</strong>ir <strong>in</strong>fluence is so<br />
dom<strong>in</strong>ant that T2 * becomes an unreliable<br />
estimator for hydraulic conductivity<br />
(Grunewald and Knight, 2011). Therefore,<br />
surface-NMR studies aimed at hydraulic<br />
properties often resort to measur<strong>in</strong>g <strong>the</strong><br />
longitud<strong>in</strong>al relaxation time T1 (Legchenko et<br />
al., 2004), which is less affected by magnetic<br />
field <strong>in</strong>homogeneities. Recent <strong>the</strong>oretical<br />
developments have demonstrated how robust<br />
surface-NMR T1 data can be acquired by<br />
employ<strong>in</strong>g an optimized acquisition technique<br />
termed phase-cycled pseudosaturation<br />
recovery (pcPSR; Walbrecker et al., 2011). In<br />
this study we complete <strong>the</strong>se recent advances,<br />
which focused on data acquisition, by<br />
develop<strong>in</strong>g an <strong>in</strong>version that estimates <strong>the</strong><br />
depth distribution of T1 based on pcPSR data.<br />
We apply our new <strong>in</strong>version scheme <strong>in</strong> two<br />
field studies and resolve how <strong>the</strong> T1 relaxation<br />
time varies with depth. In both cases we have<br />
access to borehole-NMR data as references. At<br />
site 1, Schillerslage (Germany), we acquired<br />
pcPSR surface-NMR T1 data at 4 delay times<br />
(50, 100, 300, and 700 ms) us<strong>in</strong>g a circular<br />
loop configuration (50 m diameter). Our<br />
<strong>in</strong>version result <strong>in</strong>dicates that T1 <strong>in</strong>creases<br />
cont<strong>in</strong>uously across <strong>the</strong> first aquifer, from 400<br />
ms to 700 ms at 15 m depth (less variation <strong>in</strong><br />
T2 * data), and rema<strong>in</strong>s constant across <strong>the</strong><br />
second aquifer where T2 * decreases. Both <strong>the</strong><br />
gradual <strong>in</strong>crease of T1 with depth, as well as<br />
<strong>the</strong> <strong>in</strong>creased T1 for <strong>the</strong> second aquifer is<br />
confirmed by <strong>the</strong> borehole data. At site 2 close<br />
to Lex<strong>in</strong>gton (Nebraska, USA), we acquired<br />
pcPSR T1 data at 4 delay times (133, 208, 506,<br />
and 789 ms) <strong>in</strong> a circular figure-eight setup<br />
(41 m diameter per circle). In this case, T1<br />
<strong>in</strong>creases from about 260 ms close to <strong>the</strong><br />
surface to 450 ms at 16 m depth, and <strong>the</strong>n<br />
decreases to about 150 ms towards <strong>the</strong><br />
penetration limit for our setup (~40 m). As for<br />
<strong>the</strong> previous survey, <strong>the</strong> relative trend of our<br />
surface-NMR T1 result is consistent with our<br />
borehole measurements. The borehole data<br />
show more details <strong>in</strong> <strong>the</strong> T1 profile, and tend<br />
towards lower absolute T1 values. These<br />
differences between <strong>the</strong> two methods we<br />
attribute to (1) <strong>the</strong> frequency dependence of<br />
relaxation and magnetic susceptibility effects<br />
(surface NMR operates at 2 kHz, borehole<br />
NMR at ~250 kHz to 1 MHz), and (2) <strong>the</strong> fact<br />
that surface NMR samples a much larger<br />
volume than <strong>the</strong> borehole tool, smooth<strong>in</strong>g out<br />
small-scale details visible <strong>in</strong> <strong>the</strong> borehole data.<br />
We implemented our <strong>in</strong>version of pcPSR T1<br />
data <strong>in</strong> MRSmatlab, which is freely available<br />
to <strong>the</strong> surface-NMR community.<br />
Acknowledgments<br />
This research was supported by fund<strong>in</strong>g to R.<br />
Knight and Y. Song from <strong>the</strong> Hydrology Program<br />
and <strong>the</strong> GOALI (Grant Opportunities for Academic<br />
Liaison with Industry) Program of <strong>the</strong> U.S.<br />
National Science Foundation (Award no. 0911234).<br />
References<br />
Grunewald, E., Knight, R. (2011): The effect of<br />
pore size and magnetic susceptibility on <strong>the</strong><br />
surface NMR relaxation parameter T2 * . Near<br />
Surface Geophysics, 9, 169-178.<br />
Legchenko, A., Baltassat, J.M., Bobachev, A.,<br />
Mart<strong>in</strong>, C., Roba<strong>in</strong>, H., Vouillamoz, J.M. (2004):<br />
<strong>Magnetic</strong> resonance sound<strong>in</strong>g applied to aquifer<br />
characterization. Ground Water, 42, 363-373.<br />
Walbrecker, J.O., Hertrich, M., Lehmann-Horn,<br />
J.A., Green, A.G. (2011): Estimat<strong>in</strong>g <strong>the</strong><br />
longitud<strong>in</strong>al relaxation time T1 <strong>in</strong> surface NMR.<br />
Geophysics, 76, F111-F122.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Earth's magnetic field and MRS phase shift 37<br />
Earth's magnetic field and MRS phase shift<br />
Legchenko 1* A., M. Descloitres 1 , K. Chalikakis 2 , M. Boucher 1 , G. Favreau 3<br />
1 IRD / LTHE, Grenoble, France; 2 LHA, Avignon, France; 3 IRD / HSM, Montpellier, France.<br />
anatoli.legtchenko@ird.fr<br />
At <strong>the</strong> early stage of development of <strong>the</strong><br />
magnetic resonance sound<strong>in</strong>g method (MRS)<br />
only <strong>the</strong> amplitude of MRS signal was used for<br />
<strong>in</strong>version (Legchenko and Shushakov, 1998).<br />
However it has been shown that use of both <strong>the</strong><br />
amplitude and <strong>the</strong> phase for <strong>in</strong>version allows<br />
better resolution (Weichman et al., 2002).<br />
Correct model<strong>in</strong>g of <strong>the</strong> phase shift is also<br />
important for <strong>in</strong>version of resistivity <strong>in</strong> MRS<br />
(Braun and Yaramanci, 2008).<br />
It is known that <strong>the</strong> phase of <strong>the</strong> magnetic<br />
resonance signal ma<strong>in</strong>ly depends on 1) <strong>the</strong><br />
electrical conductivity of <strong>the</strong> subsurface<br />
(Trushk<strong>in</strong> et al., 1995); and 2) <strong>the</strong> frequency<br />
offset between <strong>the</strong> Larmor frequency and <strong>the</strong><br />
frequency of <strong>the</strong> transmitted EM field<br />
(Mansfield et al., 1979). While <strong>the</strong> subsurface<br />
cause only positive phase shift, <strong>the</strong> frequency<br />
offset may cause both positive and negative<br />
shifts (Legchenko, 2004).<br />
Usually, <strong>the</strong> Earth's magnetic field is<br />
considered as constant. In practice however,<br />
<strong>the</strong> frequency offset may be often non-zero<br />
because of 1) MRS system may be tuned with<br />
some frequency offset; 2) <strong>the</strong> geomagnetic<br />
field may vary <strong>in</strong> time; 3) <strong>the</strong> geomagnetic<br />
field may vary with depth.<br />
We developed and tested a procedure that<br />
allows model<strong>in</strong>g of <strong>the</strong> phase shift tak<strong>in</strong>g <strong>in</strong>to<br />
account <strong>the</strong> frequency offset. For that we use<br />
<strong>the</strong> MRS signal measured for each pulse<br />
moment but also we check time variations of<br />
<strong>the</strong> geomagnetic field ei<strong>the</strong>r us<strong>in</strong>g a proton<br />
magnetometer or perform<strong>in</strong>g time lapse<br />
measurements of <strong>the</strong> MRS signal for a fixed<br />
pulse moment. Than, depth variations of <strong>the</strong><br />
geomagnetic field are derived from <strong>the</strong><br />
<strong>in</strong>version of measured frequency of <strong>the</strong> MRS<br />
signal. These data allow comput<strong>in</strong>g <strong>the</strong> phase<br />
shift for each syn<strong>the</strong>tic layer. Time vary<strong>in</strong>g<br />
geomagnetic field cause phase variations for<br />
all <strong>the</strong> layers: for each pulse moment <strong>the</strong><br />
geomagnetic field corresponds to measured<br />
geomagnetic field <strong>in</strong> correspond<strong>in</strong>g period of<br />
time.<br />
We demonstrate efficiency of this approach<br />
us<strong>in</strong>g MRS and TDEM data obta<strong>in</strong>ed <strong>in</strong> <strong>the</strong><br />
Lake Chad area (Western Africa). In <strong>the</strong><br />
<strong>in</strong>vestigated area <strong>the</strong> aquifer is composed of<br />
layered alluvial deposits with typical electrical<br />
resistivity of around 20-30 �m. Model<strong>in</strong>g of<br />
<strong>the</strong> phase shift tak<strong>in</strong>g <strong>in</strong>to account TDEM data<br />
and us<strong>in</strong>g a standard procedure (Valla and<br />
Legchenko, 2002) did not allow us to<br />
reproduce measured phase with <strong>the</strong> accuracy<br />
sufficient for <strong>in</strong>version of complex signals.<br />
Hence, only amplitude <strong>in</strong>version was possible.<br />
However, when variations of <strong>the</strong> Earth's<br />
magnetic field were taken <strong>in</strong>to account we<br />
were able to apply <strong>in</strong>version of complex<br />
signals and consequently resolution of <strong>the</strong><br />
survey was significantly improved for deeper<br />
part of <strong>the</strong> aquifer. We also observed much<br />
better correspondence between MRS and<br />
TDEM results.<br />
References<br />
Braun, M., and U. Yaramanci (2008): Inversion of<br />
resistivity <strong>in</strong> <strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g.<br />
Journal of Applied Geophysics, 66, 151-164.<br />
Legchenko, A.V., and O.A. Shushakov (1998):<br />
Inversion of surface NMR data. Geophysics, 63,<br />
75-84.<br />
Legchenko, A. (2004): <strong>Magnetic</strong> <strong>Resonance</strong><br />
Sound<strong>in</strong>g: Enhanced Model<strong>in</strong>g of a Phase Shift.<br />
Applied <strong>Magnetic</strong> <strong>Resonance</strong>, 25, 621-636.<br />
Mansfield, P., A.A. Maudsley, P.G. Morris and I.L.<br />
Pykett (1979): Selective pulses <strong>in</strong> NMR<br />
imag<strong>in</strong>g: reply to criticism. Journal of <strong>Magnetic</strong><br />
<strong>Resonance</strong>, 33, 261—274.<br />
Trushk<strong>in</strong>, D.V., O.A. Shushakov and A.V.<br />
Legchenko (1995): Surface NMR applied to an<br />
electroconductive medium. Geophysical<br />
Prospect<strong>in</strong>g, 43, 623-633.<br />
Valla, P., and A. Legchenko (2002): Onedimentional<br />
modell<strong>in</strong>g for proton magnetic<br />
resonance sound<strong>in</strong>g measurements over an<br />
electrically conductive medium. Journal of<br />
Applied Geophysics, 50, 217-229.<br />
Weichman, P.B., D.R. Lun, M.H. Ritzwoller and<br />
E.M. Lavely (2002): Study of surface nuclear<br />
magnetic resonance <strong>in</strong>verse problems. Journal of<br />
Applied Geophysics, 50, 131—147.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Bloch-Siegert effect <strong>in</strong> MRS<br />
Oleg A. Shushakov 1, 2 , Alexander G. Maryasov 1<br />
1) Institute of Chemical K<strong>in</strong>etics and Combustion SB RAS, Novosibirsk, Russia<br />
2) Novosibirsk State University, Novosibirsk, Russia<br />
shushako@k<strong>in</strong>etics.nsc.ru<br />
The special case of a weak field rotat<strong>in</strong>g<br />
around <strong>the</strong> strong field is usually used <strong>in</strong> <strong>the</strong><br />
magnetic resonance applications. Bloch and<br />
Siegert studied more general case of <strong>the</strong><br />
magnetic resonance with elliptic polarization<br />
of <strong>the</strong> radiofrequency field <strong>in</strong> particular <strong>the</strong><br />
commonly used case of simple l<strong>in</strong>ear<br />
oscillation. The Earth’s magnetic field is of <strong>the</strong><br />
order of 5∙10 -5 T. The RF-field produced by <strong>the</strong><br />
surface antenna is l<strong>in</strong>early polarized and can be<br />
compatible with <strong>the</strong> geomagnetic field. The<br />
us<strong>in</strong>g of RF pulses at Larmor frequency leads<br />
to appearance of <strong>the</strong> mean resonance offset <strong>in</strong><br />
rotat<strong>in</strong>g frame,<br />
2 2<br />
�1 s<strong>in</strong> �� 8�1cos�� �� � � �1��. (1)<br />
16�0 � 3�0<br />
�<br />
Here � is angle between static Earth B0 and<br />
l<strong>in</strong>early polarized B1 RF magnetic fields <strong>in</strong> lab<br />
frame, �0=�B0 is Larmor frequency, �1=�B is<br />
Rabi frequency, � is gyromagnetic ratio for<br />
protons. The equation (1) gives <strong>the</strong> value for<br />
Bloch-Siegert shift with one order higher<br />
accuracy than usual.<br />
The magnetic-resonance sound<strong>in</strong>g (MRS) has<br />
been measured us<strong>in</strong>g 100m diameter antenna.<br />
The Ob reservoir near Novosibirsk has been<br />
chosen to make measurements (figure 1).<br />
Fig. 1 A scheme of MRS experiment to study <strong>the</strong><br />
Bloch-Siegert effect with one order higher accuracy<br />
of subice water at <strong>the</strong> Ob reservoir near<br />
Novosibirsk.<br />
Fig. 2 exemplifies a good agreement between<br />
measured and calculated data tak<strong>in</strong>g <strong>in</strong>to<br />
Bloch-Siegert effect <strong>in</strong> MRS 38<br />
account <strong>the</strong> Bloch-Siegert and <strong>the</strong> next-order<br />
effects.<br />
Fig. 2. A comparison of MRS amplitude vs pulse<br />
moment (amplitude times duration) at 40 and 80ms<br />
pulse durations calculated and measured with <strong>the</strong><br />
signal calculated without <strong>the</strong> Bloch-Siegert effect.<br />
Legchenko et al. expla<strong>in</strong> similar data and a<br />
significant discrepancy between measured and<br />
calculated data without consider<strong>in</strong>g of <strong>the</strong><br />
Bloch-Siegert effect by existence of aquifer<br />
under <strong>the</strong> floor of Ob reservoir at depth 50 to<br />
100 m with 5% of water content. Never<strong>the</strong>less,<br />
such an <strong>in</strong>terpretation is <strong>in</strong>correct. MRS<br />
relaxation time T2 * of subice Ob-lake bulk<br />
water measured is 1s, whereas relaxation time<br />
T2 * of aquifer groundwater <strong>in</strong> pores is usually<br />
100-200ms, thus is 5-10 times shorter.<br />
Moreover, <strong>the</strong>re is no borehole drill<strong>in</strong>g data or<br />
some o<strong>the</strong>r <strong>in</strong>formation, confirm<strong>in</strong>g <strong>the</strong> 50-<br />
100m aquifer existence.<br />
References<br />
Bloch F., Siegert A., (1940) <strong>Magnetic</strong> resonance for<br />
nonrotat<strong>in</strong>g fields. Phys. Rev. v. 57, p. 522.<br />
Legchenko A., Baltassat J.-M., Bobachev A.,<br />
Mart<strong>in</strong> C., Roba<strong>in</strong> H., and Vouillamoz J.-M.<br />
(2004) <strong>Magnetic</strong> resonance sound<strong>in</strong>g applied to<br />
aquifer characterization. Ground Water, v. 42,<br />
No 3, p. 363.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
2D Cell Inversion for <strong>Magnetic</strong> <strong>Resonance</strong> Tomography us<strong>in</strong>g JLMRS-Array Instrument 39<br />
2D Cell Inversion for <strong>Magnetic</strong> <strong>Resonance</strong> Tomography us<strong>in</strong>g JLMRS-<br />
Array Instrument<br />
Jiang Chuandong, Duan Q<strong>in</strong>gm<strong>in</strong>g, Yi Xiaofeng, L<strong>in</strong> Jun<br />
College of Instrumentation and Electrical Eng<strong>in</strong>eer<strong>in</strong>g, Jil<strong>in</strong> University, Changchun, 130061, Ch<strong>in</strong>a<br />
l<strong>in</strong>_jun@jlu.edu.cn; willianjcd@yahoo.com.cn<br />
Introduction<br />
In most geophyscial applications, magnetic<br />
resonance sound<strong>in</strong>g (MRS) is based on a s<strong>in</strong>gle<br />
co<strong>in</strong>cident transmitter and receiver loop for<br />
<strong>in</strong>vestigat<strong>in</strong>g 1D groundwater verically below<br />
<strong>the</strong> loop. By us<strong>in</strong>g multiple-offset concident<br />
loop as well as separated loop configurations ,<br />
magnetic reosnance tomography (MRT)<br />
technology is developed for permitt<strong>in</strong>g full 2D<br />
water reconstruction. However, compared to<br />
1D water <strong>in</strong>verted sechmes (smooth, block, TS<br />
and QT), which are sound<strong>in</strong>g and effective, ,<br />
2D <strong>in</strong>version strategies demands for fur<strong>the</strong>r<br />
development.<br />
Array-MRT<br />
Array-MRT measurement is consists of a large<br />
s<strong>in</strong>gle turn loop energizes a pulse of alternat<strong>in</strong>g<br />
current for excit<strong>in</strong>g <strong>the</strong> deeper and farer<br />
hydrogen proton, and several small multiturn<br />
loops laid out on a profile for receiv<strong>in</strong>g MRT<br />
signals, simultaneously. Increas<strong>in</strong>g of loop<br />
turns can improve <strong>the</strong> amplitude of signal.<br />
Thus, loop array composed by <strong>the</strong>se multiturn<br />
loops will significantly improve <strong>the</strong> sensibility<br />
of non-stratified groundwater <strong>in</strong> 2D and 3D.<br />
Simulation results <strong>in</strong>dicate <strong>the</strong> sensibility of<br />
Array-MRT is superior to multiple-offset<br />
concident loop or separate loops.<br />
Array-MRT measurement is performed us<strong>in</strong>g<br />
JLMRS-Array <strong>in</strong>strument developed by Jil<strong>in</strong><br />
University (Ch<strong>in</strong>a). The <strong>in</strong>strument has one<br />
transimitter unit which produces maximum AC<br />
current pulses <strong>in</strong> excess of 450 A across <strong>the</strong><br />
transimitter loop of 100 m, and 6~10 receiver<br />
units (capable of extend<strong>in</strong>g more units),<br />
allow<strong>in</strong>g it to simultaneously receiv<strong>in</strong>g MRT<br />
signals on all <strong>the</strong> multiturn loops of 10 m~ 25<br />
m. The analog amplifier circuitry has a ga<strong>in</strong> of<br />
60 dB ~ 120 dB and a bandwidth of 48 Hz ~<br />
122 Hz. Through <strong>the</strong> field test<strong>in</strong>g, <strong>the</strong> receiver<br />
short-circuit <strong>in</strong>put noise is 1 nV/Hz 1/2 , and <strong>the</strong><br />
dead-time is about 17 ms.<br />
Cell <strong>in</strong>version<br />
Array-MRT data are <strong>in</strong>versed by a new<br />
<strong>in</strong>version scheme, cell <strong>in</strong>version. A water cell<br />
is def<strong>in</strong>ed as a certa<strong>in</strong> area conta<strong>in</strong> <strong>the</strong> specific<br />
water conta<strong>in</strong> and relaxation time T2. Similar<br />
with block <strong>in</strong>version, <strong>the</strong> location and<br />
boundary of cell is not fixed, however, cells<br />
permits co<strong>in</strong>cide with each o<strong>the</strong>r, which blocks<br />
cannot. In <strong>the</strong> co<strong>in</strong>cidence area, water contents<br />
are <strong>the</strong> sum over all cells, but T2s are<br />
<strong>in</strong>dependent from each o<strong>the</strong>r. Accord<strong>in</strong>g to<br />
area equivalent, water cells can be converted to<br />
subdivision grids of groundwater distribution<br />
for forward calculation and <strong>in</strong>version.<br />
Cell <strong>in</strong>version uses all MRT records <strong>in</strong> time<br />
doma<strong>in</strong> of receiver loop array to seek an<br />
optimal water content and T2 model. The<br />
algorithm of cell <strong>in</strong>version is f<strong>in</strong>ished by<br />
comb<strong>in</strong>ed with genetic algorithm (GA) and<br />
nonl<strong>in</strong>ear programm<strong>in</strong>g (NP). Simulation<br />
results show <strong>the</strong> new <strong>in</strong>version scheme can<br />
separate multiple water cells with multi-T2 <strong>in</strong><br />
2D.<br />
Field example<br />
A field measurement has been carried out<br />
us<strong>in</strong>g JLMRS-Array <strong>in</strong>strument <strong>in</strong> Shaoguo<br />
town, Ch<strong>in</strong>a. The results verify <strong>the</strong> 2D<br />
groundwater distribution characteristics, and<br />
compared with <strong>the</strong> 1D results of smooth, block<br />
and QT <strong>in</strong>version, as well as borehole data.<br />
Conclusion<br />
Array-MRT measurement us<strong>in</strong>g JLMRS-Array<br />
<strong>in</strong>strument improves <strong>the</strong> efficiency and<br />
sensibility of detection 2D non-stratified<br />
groundwater. Data <strong>in</strong>versed by Cell <strong>in</strong>version<br />
can reconstruction of water content and multi-<br />
T2 <strong>in</strong> 2D, simultaneously.<br />
References<br />
Hertrich, M., Braun M., Yaramanci U. (2009):<br />
High-resolution surface NMR tomography of<br />
shallow aquifers based on multioffset<br />
measurements. Geophysics, 74(6): 47-59.<br />
Mueller-Petke, M., Yaramanci U. (2010): QT<br />
<strong>in</strong>version <strong>–</strong> Comprehensive use of <strong>the</strong> complete<br />
surface NMR data set. Geophysics, 75(4):199-<br />
209.<br />
Legchenko, A., Clement R., Garambois, S., (2011):<br />
Investigat<strong>in</strong>g water distribution <strong>in</strong> <strong>the</strong> Luitel<br />
Lake peat bog us<strong>in</strong>g MRS, ERT and GPR. Near<br />
Surface Geophysics, 9: 201-209<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
2D qt-<strong>in</strong>version to <strong>in</strong>vestigate spatial variations of hydraulic conductivity us<strong>in</strong>g SNMR 40<br />
2D qt-<strong>in</strong>version to <strong>in</strong>vestigate spatial variations of hydraulic conductivity<br />
us<strong>in</strong>g SNMR<br />
Raphael Dlugosch 1 , Thomas Gün<strong>the</strong>r, Mike Müller-Petke, and Ugur Yaramanci<br />
Leibniz Institute for Applied Geophysics (<strong>LIAG</strong>), Hannover<br />
1 Raphael.Dlugosch@liag-hannover.de<br />
Surface-NMR is able to detect water content <strong>in</strong><br />
<strong>the</strong> subsurface. Additionally, hydraulic<br />
conductivities can be estimated from NMR<br />
decay times (Legchenko et al. 2002, Dlugosch<br />
et al., 2011b). Both make SNMR a useful tool<br />
to answer hydrological questions. Most<br />
applications are 1D but SNMR has moved on<br />
to 2D targets (Hertrich et al., 2005; Hertrich et<br />
al., 2007) us<strong>in</strong>g comprehensive datasets while<br />
Girard et al. (2007) uses only co<strong>in</strong>cident loops.<br />
The development of multi channel<br />
<strong>in</strong>strumentation made comprehensive 2D<br />
datasets time efficient (Dlugosch et al., 2011a).<br />
Current 2D <strong>in</strong>versions focus on estimat<strong>in</strong>g <strong>the</strong><br />
water content distribution but do not <strong>in</strong>vert for<br />
spatial <strong>in</strong>formation of relaxation time T2*.<br />
Thus, estimation of hydraulic conductivity is<br />
yet undone. We present <strong>the</strong> development a<br />
robust <strong>in</strong>version to estimate a 2D distribution<br />
of T2*. F<strong>in</strong>ally, this enables to image spatial<br />
variations <strong>in</strong> hydraulic conductivity from<br />
SNMR data with a high lateral resolution.<br />
The <strong>in</strong>version is based on <strong>the</strong> qt-<strong>in</strong>version<br />
scheme (Müller-Petke and Yaramanci, 2010).<br />
It exploits <strong>the</strong> full measured free <strong>in</strong>duction<br />
decay data cube and <strong>in</strong>creases both spatial<br />
resolution and stability of <strong>the</strong> <strong>in</strong>verse problem.<br />
By account<strong>in</strong>g for separate transmitter and<br />
receiver loops an <strong>in</strong>creased lateral resolution is<br />
expected as shown by Hertrich et al. (2005).<br />
A challeng<strong>in</strong>g problem for a 2D <strong>in</strong>version of<br />
water content and decay time is <strong>the</strong> size of <strong>the</strong><br />
<strong>in</strong>verse problem both at <strong>the</strong> model and data<br />
doma<strong>in</strong>. We use an irregular mesh and monoexponential<br />
decay per cell to m<strong>in</strong>imize <strong>the</strong><br />
number of free parameter <strong>in</strong> <strong>the</strong> model doma<strong>in</strong>.<br />
In addition <strong>the</strong> FID data is gate <strong>in</strong>tegrated to<br />
m<strong>in</strong>imize <strong>the</strong> size of <strong>the</strong> dataset (Behroozmand<br />
et al., 2012). We present first prelim<strong>in</strong>ary<br />
results of a syn<strong>the</strong>tic dataset.<br />
References<br />
Behroozmand, A. A., Auken, E., Fiandaca, G.,<br />
Christiansen, A. V. & Christensen, N. B. (2012):<br />
Efficient full decay <strong>in</strong>version of MRS data with a<br />
stretched-exponential approximation of <strong>the</strong><br />
distribution. Geophysical Journal <strong>International</strong>,<br />
Blackwell Publish<strong>in</strong>g Ltd, 190 (2), 900-912.<br />
Dlugosch, R., Müller-Petke, M., Gün<strong>the</strong>r, T.,<br />
Costabel, S. and Yaramanci, U., 2011a. Assessment<br />
of <strong>the</strong> Potential of a new Generation of surface<br />
NMR <strong>in</strong>struments, Near Surface Geophysics 9(2),<br />
123-134.<br />
Dlugosch, R., Müller-Petke, M., Gün<strong>the</strong>r, T.,<br />
Ronczka, M. and Yaramanci, U., 2011b. An<br />
extended model for predict<strong>in</strong>g hydraulic<br />
conductivity from NMR measurements. <strong>–</strong> EAGE<br />
Near Surface 2011, 12,-14.09.2011; Leicester<br />
Girard, J.-F., Boucher, M., Legchenko, A. &<br />
Baltassat, J.-M. (2007): 2D magnetic resonance<br />
tomography applied to karstic conduit imag<strong>in</strong>g.<br />
Journal of Applied Geophysics, 63 (3-4), 103-116.<br />
Hertrich, M., Braun, M., Yaramanci, U., 2005.<br />
<strong>Magnetic</strong> resonance sound<strong>in</strong>gs with separated<br />
transmitter and receiver loops, Near Surface<br />
Geophysics 3(3), 131-144.<br />
Hertrich, M., Braun, M., Gün<strong>the</strong>r, T., Green, A.,<br />
Yaramanci, U., 2007. Surface Nuclear <strong>Magnetic</strong><br />
<strong>Resonance</strong> Tomography, IEEE Transactions on<br />
Geoscience and remote sens<strong>in</strong>g 45, 3752-3759.<br />
Legchenko, A., Baltassat, J.-M., Beauce, A.,<br />
Bernard, J. (2002): Nuclear magnetic resonance as<br />
a geophysical tool for hydrogeologists. Journal of<br />
Applied Geophysics, 50 (1-2), 21-46.<br />
Müller-Petke, M., Yaramanci, U., 2010. QT<br />
<strong>in</strong>version - Comprehensive use of <strong>the</strong> complete<br />
surface NMR data set, Geophysics 75, WA199 -<br />
WA209.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Locat<strong>in</strong>g a karst conduit with 2D Monte Carlo <strong>in</strong>version of magnetic resonance<br />
measurements 41<br />
Locat<strong>in</strong>g a karst conduit with 2D Monte Carlo <strong>in</strong>version of magnetic<br />
resonance measurements<br />
Chevalier* A., A. Legchenko, M. Boucher<br />
UJF, IRD / LTHE, Grenoble, France<br />
Anto<strong>in</strong>e.chevalier@ujf-grenoble.fr<br />
Assess<strong>in</strong>g <strong>the</strong> ability of magnetic resonance<br />
measurement to reconstruct heterogeneous 2D<br />
and 3D water saturated formations by means of<br />
<strong>in</strong>version algorithms is a recent issue for MRS<br />
applications (Hertrich et al. 2009; Legchenko<br />
et al 2011). Non-uniqueness of <strong>in</strong>version<br />
results <strong>in</strong> conjunction with limited accuracy of<br />
measurements affected by electromagnetic<br />
noise may cause erroneous <strong>in</strong>terpretations. The<br />
best way to deal with this issue is to compute a<br />
great number of water content distributions<br />
consistent with <strong>the</strong> data set, and to propose a<br />
probabilistic answer <strong>in</strong>stead of a s<strong>in</strong>gle<br />
solution us<strong>in</strong>g Monte Carlo approaches.<br />
(Mosegaard et al, 1995)<br />
The Poumeyssens site (sou<strong>the</strong>rn France) was<br />
previously <strong>in</strong>vestigated with MRS (Boucher et<br />
al, 2006 and Girard et al, 2007). Eleven 1D<br />
sound<strong>in</strong>gs were performed with 3 turns 25×25<br />
m 2 co<strong>in</strong>cident overlapp<strong>in</strong>g loops on a s<strong>in</strong>gle<br />
profile cross<strong>in</strong>g <strong>the</strong> conduit. Entirely mapped<br />
by divers, <strong>the</strong> Poumeyssens karst conduit is a<br />
target of choice to put 2D l<strong>in</strong>ear and Monte<br />
Carlo <strong>in</strong>version algorithms to <strong>the</strong> test.<br />
Reported results, based on a strongly<br />
constra<strong>in</strong>ed l<strong>in</strong>ear <strong>in</strong>version rout<strong>in</strong>e, show that<br />
<strong>the</strong> pr<strong>in</strong>cipal conduit was correctly located<br />
with MRS but <strong>the</strong> possibility of existence of<br />
o<strong>the</strong>r conduits <strong>in</strong> <strong>the</strong> area was not analyzed.<br />
We now <strong>in</strong>vestigate results obta<strong>in</strong>ed through<br />
less constra<strong>in</strong>ed 2D <strong>in</strong>version scheme based on<br />
<strong>the</strong> Monte Carlo approach.<br />
To compute <strong>the</strong> occurrence probability of such<br />
a scenario, we use a Simulated Anneal<strong>in</strong>g<br />
algorithm driven by a Blocky prior idea<br />
(generat<strong>in</strong>g models us<strong>in</strong>g blocks of water). Its<br />
capability to resolve different models with<br />
100% water content was tested numerically<br />
vary<strong>in</strong>g <strong>the</strong> signal to noise ratio.<br />
The average water content computed from <strong>the</strong><br />
solution collection, show that <strong>the</strong> models were<br />
resolved with<strong>in</strong> an uncerta<strong>in</strong>ty of 5 to 10 m<br />
where <strong>the</strong> true 100 % water content is<br />
gradually scattered from a central maximum<br />
(50%) to <strong>the</strong> edge (10%). The standard<br />
deviation of <strong>the</strong> water content distribution is<br />
between 30 and 50 %.<br />
Analysis of <strong>the</strong> field data shows that <strong>the</strong><br />
Poumeyssens conduit was correctly resolved<br />
with MRS us<strong>in</strong>g ei<strong>the</strong>r l<strong>in</strong>ear or Monte Carlo<br />
<strong>in</strong>version. Use of <strong>the</strong> Monte Carlo method<br />
allowed estimat<strong>in</strong>g <strong>the</strong> uncerta<strong>in</strong>ty <strong>in</strong> <strong>the</strong><br />
conduit localization as about 5 m. In this zone,<br />
<strong>the</strong> MRS water content was scattered from<br />
50% <strong>in</strong> <strong>the</strong> center to 10% towards <strong>the</strong> edges of<br />
<strong>the</strong> zone. The possibility of existence of o<strong>the</strong>r<br />
conduits was estimated as highly improbable<br />
among <strong>the</strong> collection of well-fitt<strong>in</strong>g scenarios.<br />
To conclude, a Blocky simulated anneal<strong>in</strong>g<br />
algorithm was proved to be reliable and<br />
efficient approach to assess <strong>the</strong> <strong>in</strong>version<br />
uncerta<strong>in</strong>ties on 2D targets such as karstic<br />
conduit.<br />
References<br />
Boucher, M., J.-F. Girard, A. Legchenko, J.-M.<br />
Baltassat, N. Dörfliger, et K. Chalikakis (2006):<br />
Us<strong>in</strong>g 2D <strong>in</strong>version of magnetic resonance<br />
sound<strong>in</strong>gs to locate a water-filled karst conduit:<br />
Journal of Hydrology, 330(3<strong>–</strong>4). 413<strong>–</strong>421.<br />
Girard, J-F, M. Boucher, A. Legchenko, and J-M.<br />
Baltassat (2007): 2D magnetic resonance<br />
tomography applied to karstic conduit imag<strong>in</strong>g:<br />
Journal of Applied Geophysics, 63, 103-116.<br />
Hertrich, M., A.G. Green, M. Braun, and U.<br />
Yaramanci (2009): High-resolution surface<br />
NMR tomography of shallow aquifers based on<br />
multioffset measurements: Geophysics, 74, 47-<br />
59.<br />
Legchenko, A., M. Descloitres, C. V<strong>in</strong>cent, H.<br />
Guyard, S. Garambois, K. Chalikakis and M.<br />
Ezersky (2011): Three-dimensional magnetic<br />
resonance imag<strong>in</strong>g for groundwater: New<br />
Journal of Physics, 13, 025022, doi:<br />
10.1088/1367-2630/13/2/025022.<br />
Mosegaard, K. and Tarantola, A. (1995): Monte<br />
Carlo sampl<strong>in</strong>g of solutions to <strong>in</strong>verse problems:<br />
Journal of Geophysical Research, 100(7), 431-<br />
447.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
A comprehensive study of <strong>the</strong> parameter determ<strong>in</strong>ation <strong>in</strong> a jo<strong>in</strong>t MRS and TEM data<br />
analysis scheme 42<br />
A comprehensive study of <strong>the</strong> parameter determ<strong>in</strong>ation <strong>in</strong> a jo<strong>in</strong>t MRS and<br />
TEM data analysis scheme<br />
Ahmad A. Behroozmand, Esben Dalgaard, Anders Vest Christiansen and Esben Auken<br />
Department of Geoscience, Aarhus University, Aarhus, Denmark.<br />
ahmad@geo.au.dk<br />
We present a comprehensive study of <strong>the</strong><br />
parameter determ<strong>in</strong>ation of magnetic<br />
resonance sound<strong>in</strong>g (MRS) models, <strong>in</strong> a jo<strong>in</strong>t<br />
MRS and transient electromagnetic (TEM)<br />
data analysis scheme. We assessed model<br />
parameter determ<strong>in</strong>ation by calculat<strong>in</strong>g <strong>the</strong><br />
model parameter uncerta<strong>in</strong>ties, based on <strong>the</strong> aposterior<br />
model covariance matrix. Do<strong>in</strong>g this,<br />
we <strong>in</strong>clude <strong>the</strong> full system transfer function,<br />
<strong>in</strong>clud<strong>in</strong>g data noise and system parameters<br />
which are crucial <strong>in</strong> order to get reliable<br />
uncerta<strong>in</strong>ty estimates. The analyses are<br />
computed for conductive layered half-spaces.<br />
The entire MRS data set, dependent on pulse<br />
moment and time gate values, toge<strong>the</strong>r with<br />
TEM data, was used for all analyses and<br />
realistic noise levels were assigned to <strong>the</strong> data.<br />
The sensitivity analyses were studied for <strong>the</strong><br />
determ<strong>in</strong>ation of Water content as a key<br />
parameter estimated dur<strong>in</strong>g <strong>in</strong>version of MRS<br />
data. We show <strong>the</strong> results for different suites of<br />
(three-layer) models, <strong>in</strong> which we <strong>in</strong>vestigated<br />
<strong>the</strong> effect of resistivity, water content,<br />
relaxation time, loop side length, number of<br />
pulse moments, and measurement dead time on<br />
<strong>the</strong> determ<strong>in</strong>ation of water content <strong>in</strong> a waterbear<strong>in</strong>g<br />
layer. For all suites of models <strong>the</strong><br />
effect of a top conductive and a top resistive<br />
layer were compared. Moreover, we analyzed<br />
all models for measurement dead times of both<br />
40 ms (typically used with Numis Poly/Plus<br />
equipment, IRIS Instruments) and 10 ms<br />
(relevant to GMR equipment, Vista Clara Inc.).<br />
We conclude that, <strong>in</strong> general, <strong>the</strong> resistivity<br />
of <strong>the</strong> water-bear<strong>in</strong>g layer (layer of <strong>in</strong>terest,<br />
LOI) does not affect <strong>the</strong> determ<strong>in</strong>ation of water<br />
content <strong>in</strong> <strong>the</strong> LOI, but resistivity of <strong>the</strong> top<br />
layer <strong>in</strong>creases depth resolution; <strong>the</strong> water<br />
content of <strong>the</strong> LOI does not <strong>in</strong>fluence its<br />
determ<strong>in</strong>ation considerably <strong>in</strong> cases where <strong>the</strong><br />
signal has a relatively long relaxation time <strong>in</strong><br />
<strong>the</strong> LOI; determ<strong>in</strong>ation of <strong>the</strong> water content <strong>in</strong><br />
<strong>the</strong> LOI is improved by <strong>in</strong>creas<strong>in</strong>g <strong>the</strong><br />
relaxation time of <strong>the</strong> signal <strong>in</strong> <strong>the</strong> LOI; short<br />
measurement dead times will improve <strong>the</strong><br />
parameter determ<strong>in</strong>ation for signals with a<br />
relatively short relaxation time; <strong>in</strong>creas<strong>in</strong>g loop<br />
side length and <strong>in</strong>creas<strong>in</strong>g <strong>the</strong> number of pulse<br />
moments do not necessarily improve <strong>the</strong><br />
parameter determ<strong>in</strong>ation.<br />
Key words: magnetic resonance sound<strong>in</strong>g<br />
(MRS); parameter determ<strong>in</strong>ation; sensitivity<br />
analysis; TEM.<br />
References<br />
Behroozmand, A. A., Auken, E., Fiandaca, G.,<br />
Christiansen, A. V., and Christensen, N. B.,<br />
2012, Efficient full decay <strong>in</strong>version of MRS<br />
data with a stretched-exponential<br />
approximation of <strong>the</strong> T2* distribution:<br />
Geophysical Journal <strong>International</strong>, 190,<br />
900-912.<br />
Behroozmand, A. A., Auken, E., Fiandaca, G.,<br />
and Christiansen, A. V., 2012, Improvement<br />
<strong>in</strong> MRS parameter estimation by jo<strong>in</strong>t and<br />
laterally constra<strong>in</strong>ed <strong>in</strong>version of MRS and<br />
TEM data: Geophysics, 77(4), WB191-<br />
WB200.<br />
Mueller-Petke, M. and Yaramanci, U., 2008,<br />
Resolution studies for <strong>Magnetic</strong> <strong>Resonance</strong><br />
Sound<strong>in</strong>g (MRS) us<strong>in</strong>g <strong>the</strong> s<strong>in</strong>gular value<br />
decomposition: Journal of Applied<br />
Geophysics, 66, 165-175.<br />
Tarantola, A. and Valette, 1982, Generalized<br />
nonl<strong>in</strong>ear <strong>in</strong>verse problems solved us<strong>in</strong>g a<br />
least squares criterion: Rewiews of<br />
Geophysics and Space Physics, 20, 219-232.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Hybrid and multi-objective genetic algorithm applications <strong>in</strong> MRS data <strong>in</strong>version 43<br />
Hybrid and multi-objective genetic algorithm applications <strong>in</strong> MRS data<br />
<strong>in</strong>version<br />
Irfan Akca 1 , Thomas Gün<strong>the</strong>r 2 , Mike Müller-Petke 2 , Ahmet T. Basokur 1 and Ugur<br />
Yaramanci 2<br />
1 Ankara University, Faculty of Eng<strong>in</strong>eer<strong>in</strong>g, Department of Geophysical Eng<strong>in</strong>eer<strong>in</strong>g<br />
2 Leibniz Institute for Applied Geophysics, Stilleweg, 2, Hannover, Germany<br />
iakca@eng.ankara.edu.tr<br />
The aim of <strong>in</strong>version algorithms is to estimate<br />
<strong>the</strong> parameters of a model which represents <strong>the</strong><br />
subsurface with<strong>in</strong> <strong>the</strong> resolution of applied<br />
geophysical method. The derivative based<br />
local optimization methods could provide fast<br />
and satisfactory solutions. However, <strong>the</strong> illposed<br />
nature of geophysical <strong>in</strong>version leads to<br />
stability problems. They may suffer from <strong>the</strong><br />
probability of trapp<strong>in</strong>g <strong>in</strong> a local m<strong>in</strong>umum<br />
depend<strong>in</strong>g on <strong>the</strong> <strong>in</strong>itial-guess. Genetic<br />
algorithms (GA) are <strong>in</strong>spired from <strong>the</strong><br />
evolution of organisms that controlled by <strong>the</strong><br />
environmental conditions (Holland, 1975;<br />
Goldberg, 1989). GAs generates a random<br />
<strong>in</strong>itial model population and rate all models <strong>in</strong><br />
<strong>the</strong> population by <strong>the</strong> help of objective<br />
function. Local and global optimization<br />
methods have <strong>the</strong>ir own advantages and<br />
disadvantages. For this reason, <strong>the</strong> sequential<br />
and hybrid apllications of global and local<br />
methods can be used to overcome <strong>the</strong><br />
difficulties encountered <strong>in</strong> <strong>the</strong> <strong>in</strong>dividiual<br />
applications (Başokur et al., 2007; Akca and<br />
Başokur, 2010; Başokur et al., 2007; Soupios<br />
et al., 2011). Moreover, <strong>the</strong> hybrid algorithms<br />
can be applied for <strong>the</strong> jo<strong>in</strong>t <strong>in</strong>version problems<br />
that are applied for reduc<strong>in</strong>g uncerta<strong>in</strong>ities <strong>in</strong><br />
<strong>the</strong> model. Hybrid genetic algoritms give <strong>the</strong><br />
ability of search<strong>in</strong>g a wide solution space<br />
without loos<strong>in</strong>g <strong>the</strong> f<strong>in</strong>e tun<strong>in</strong>g capability of<br />
<strong>the</strong> local methods while reduc<strong>in</strong>g <strong>the</strong> classical<br />
GA evolution time.<br />
This paper deals with <strong>the</strong> application of a<br />
hybrid GA (GA hybridized with least-squares)<br />
for <strong>the</strong> <strong>in</strong>version of magnetic resonance<br />
sound<strong>in</strong>g (MRS) data and a multi-objective<br />
GA for <strong>the</strong> jo<strong>in</strong>t <strong>in</strong>version of MRS and vertical<br />
electrical sound<strong>in</strong>g (VES) data.<br />
The follow<strong>in</strong>g procedure is applied for <strong>the</strong><br />
proposed hybrid genetic algorithm: An <strong>in</strong>itial<br />
population is created with<strong>in</strong> <strong>the</strong> limits of <strong>the</strong><br />
search space (1); selection, cross-over and<br />
mutation operators proceed as <strong>in</strong> <strong>the</strong> simple<br />
GA (2); each model at <strong>in</strong>termediate<br />
generations is tried to be updated by leastsquares<br />
<strong>in</strong>version (3); succesfull <strong>in</strong>version<br />
candidates are replaced back <strong>in</strong>to <strong>the</strong><br />
population (4). The efficency of <strong>the</strong> hybrid<br />
scheme is tested by <strong>the</strong> use of syn<strong>the</strong>tic and<br />
field data applications.<br />
Fur<strong>the</strong>rmore, a multi-objective GA (Deb,<br />
2001) is utilized for <strong>the</strong> jo<strong>in</strong>t <strong>in</strong>version of MRS<br />
and VES data for a 1D blocky subsurface<br />
model. The model vectors def<strong>in</strong>ed for both<br />
methods are <strong>in</strong>terconnected via <strong>the</strong> thicknesses<br />
(Gün<strong>the</strong>r and Müller-Petke, 2012). At f<strong>in</strong>al<br />
stage a Pareto-optimal set of solutions is<br />
obta<strong>in</strong>ed.<br />
References<br />
Akca, İ. and Başokur, A. T., (2010): Extraction of<br />
structure-based geoelectric models by hybrid<br />
genetic algorithms, Geophysics, 75, F15-F22.<br />
Başokur, A. T., Akça, İ. and Siyam, N. W. A.<br />
(2007): Hybrid genetic algorithms <strong>in</strong> view of <strong>the</strong><br />
evolution <strong>the</strong>ories with application for <strong>the</strong><br />
electrical sound<strong>in</strong>g method. Geophysical<br />
Prospect<strong>in</strong>g, 55, 393<strong>–</strong>406.<br />
Deb, K., (2001): Multi-Objective Optimization<br />
us<strong>in</strong>g Evolutionary Algorithms, John Wiley &<br />
Sons, Ltd, Chichester, England.<br />
Goldberg, D.E. (1989): Genetic Algorithms <strong>in</strong><br />
Search, Optimization, and Mach<strong>in</strong>e Learn<strong>in</strong>g.<br />
Addison-Wesley Publ. Co., Inc.<br />
Gün<strong>the</strong>r, T. and Müller-Petke, M. (2012):<br />
Hydraulic properties at <strong>the</strong> North Sea island<br />
Borkum derived from jo<strong>in</strong>t <strong>in</strong>version of magnetic<br />
resonance and electrical resistivity sound<strong>in</strong>gs.<br />
Hydrol. Earth Syst. Sci. 9, 2797-2829.<br />
Holland, J. (1975): Adaptation <strong>in</strong> Natural and<br />
Artificial Systems. University of Michigan Press.<br />
Soupios, P., Akca, I, Mpogiatzis P., Basokur, A. T.<br />
and Papazachos, C., (2011):, Applications of<br />
hybrid genetic algorithms <strong>in</strong> seismic<br />
tomography, Journal of Applied Geophysics, 74,<br />
479-489.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Experimental verification of a 3D model for MRS<br />
Legchenko 1* A., J-F. Girard 2 , S. Morlighem 3 and J-M. Baltassat 2<br />
1 IRD / LTHE, Grenoble, France; 2 BRGM, Orléans, France; 3 VALE, New Calédonia.<br />
anatoli.legtchenko@ird.fr<br />
It is known that only one co<strong>in</strong>cident<br />
transmitt<strong>in</strong>g-receiv<strong>in</strong>g loop is required for <strong>the</strong><br />
1D magnetic resonance sound<strong>in</strong>g (MRS)<br />
measur<strong>in</strong>g and <strong>in</strong>version (Legchenko and<br />
Shushakov, 1998). The method could be<br />
extended to 2D (Girard et al., 2007) and 3D<br />
(Legchenko et al., 2011) applications and use<br />
of a multi-channel receiver allows a more<br />
sophisticated 3D implementation (Hertrich et<br />
al., 2009). Whatever would be <strong>the</strong> practical<br />
implementation of a 3D MRS survey,<br />
<strong>in</strong>version is based on <strong>the</strong> forward model<strong>in</strong>g of<br />
<strong>the</strong> magnetic resonance response.<br />
Consequently, <strong>the</strong> ma<strong>the</strong>matical model is a<br />
crucial po<strong>in</strong>t for <strong>the</strong> <strong>in</strong>version.<br />
In <strong>the</strong> majority of reported applications <strong>the</strong><br />
MRS method is used <strong>in</strong> <strong>the</strong> FID mode when<br />
<strong>the</strong> free <strong>in</strong>duction decay signal is measured<br />
(Legchenko et Valla, 2002). However, <strong>in</strong> some<br />
rocks <strong>the</strong> geomagnetic field may be perturbed<br />
and FID measurements may fail (Roy et al.,<br />
2008). For improv<strong>in</strong>g <strong>the</strong> MRS performance <strong>in</strong><br />
<strong>the</strong> presence of magnetic rocks MRS could be<br />
used <strong>in</strong> <strong>the</strong> sp<strong>in</strong> echo (SE) mode (Legchenko et<br />
al., 2010). In this case only <strong>the</strong> sp<strong>in</strong> echo signal<br />
is measured. Under some conditions both FID<br />
and SE signals can be observed.<br />
We have developed a 3D ma<strong>the</strong>matical model<br />
that allows comput<strong>in</strong>g MRS signal from 3D<br />
targets both <strong>in</strong> FID and SE modes. This model<br />
allows consider<strong>in</strong>g <strong>the</strong> field setup consist<strong>in</strong>g of<br />
ei<strong>the</strong>r one transmitt<strong>in</strong>g loop with number of<br />
separated receiv<strong>in</strong>g loops or <strong>the</strong> overlapped<br />
co<strong>in</strong>cident loops.<br />
For experimental verification of <strong>the</strong> model<strong>in</strong>g<br />
rout<strong>in</strong>e we used an artificial water reservoir<br />
located <strong>in</strong> <strong>the</strong> sou<strong>the</strong>rn part of <strong>the</strong> New<br />
Caledonia Island. In this pool, of<br />
approximately 80×30 m 2 large, <strong>the</strong> depth is<br />
vary<strong>in</strong>g from 1.5 to 4 m. A rectangular loop of<br />
100×50 m 2 was put around <strong>the</strong> pool. Rocks <strong>in</strong><br />
this area are characterized by <strong>the</strong> magnetic<br />
susceptibility between 5e-4 and 5e-3 SIU thus<br />
perturb<strong>in</strong>g <strong>the</strong> geomagnetic field. However<br />
with<strong>in</strong> <strong>the</strong> pool <strong>the</strong>se perturbations are<br />
relatively small and we were able to measure<br />
Experimental verification of a 3D model for MRS 44<br />
both FID and SE signals. The geomagnetic<br />
field was of 47246 nT and <strong>the</strong> Larmor<br />
frequency was about 2013 Hz.<br />
We have found that <strong>the</strong> relaxation times for <strong>the</strong><br />
signal from water <strong>in</strong> <strong>the</strong> pool are: T1=1950 ms,<br />
T2=1400 ms, T2 * (FID)=100 ms and T2 * (SE)=125<br />
ms. The maximum signal amplitude was<br />
approximately 180 nV for <strong>the</strong> FID signal and<br />
120 nV for <strong>the</strong> SE signal (measured with <strong>the</strong><br />
delay of 256 ms between <strong>the</strong> pulses).<br />
Under <strong>the</strong>se conditions numerical model<strong>in</strong>g of<br />
<strong>the</strong> MRS signal from water <strong>in</strong> <strong>the</strong> pool showed<br />
a good correspondence between observed and<br />
<strong>the</strong>oretical signals for both FID and SE<br />
measurements.<br />
References<br />
Girard, J-F, M. Boucher, A. Legchenko, and J-M.<br />
Baltassat (2007): 2D magnetic resonance<br />
tomography applied to karstic conduit imag<strong>in</strong>g.<br />
Journal of Applied Geophysics, 63, 103-116.<br />
Hertrich, M., A.G. Green, M. Braun, and U.<br />
Yaramanci (2009): High-resolution surface<br />
NMR tomography of shallow aquifers based on<br />
multioffset measurements. Geophysics, 74, 47-<br />
59.<br />
Legchenko, A.V., and O.A. Shushakov (1998):<br />
Inversion of surface NMR data. Geophysics, 63,<br />
75-84.<br />
Legchenko, A., and P. Valla (2002): A review of<br />
<strong>the</strong> basic pr<strong>in</strong>ciples for proton magnetic<br />
resonance sound<strong>in</strong>g measurements. Journal of<br />
Applied Geophysics, 50, 3-19.<br />
Legchenko, A., J.M. Vouillamoz, J. Roy (2010):<br />
Application of <strong>the</strong> magnetic resonance sound<strong>in</strong>g<br />
method to <strong>the</strong> <strong>in</strong>vestigation of aquifers <strong>in</strong> <strong>the</strong><br />
presence of magnetic materials. Geophysics 75:<br />
L91<strong>–</strong>L100.<br />
Legchenko, A., M. Descloitres, C. V<strong>in</strong>cent, H.<br />
Guyard, S. Garambois, K. Chalikakis and M.<br />
Ezersky (2011): Three-dimensional magnetic<br />
resonance imag<strong>in</strong>g for groundwater. New<br />
Journal of Physics, 13, 025022, doi:<br />
10.1088/1367-2630/13/2/025022.<br />
Roy, J., A. Rouleau, M. Chouteau, M. Bureau<br />
(2008): Widespread occurrence of aquifers<br />
currently undetectable with <strong>the</strong> MRS technique<br />
<strong>in</strong> <strong>the</strong> Grenville geological prov<strong>in</strong>ce, Canada.<br />
Journal of Applied Geophysics, 66, 82-93.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Comparison of borehole and surface NMR-<strong>in</strong>ferred water content profiles 45<br />
Comparison of borehole and surface NMR-<strong>in</strong>ferred water content profiles<br />
Andreas P. Mavrommatis 1* , Jan O. Walbrecker 1 , Rosemary Knight 1<br />
1 Department of Geophysics, Stanford University, Stanford, California, USA.<br />
* andreasm@stanford.edu<br />
The direct comparison of borehole and surface<br />
nuclear magnetic resonance (NMR)<br />
measurements made over <strong>the</strong> same area can<br />
provide useful <strong>in</strong>sights about both <strong>the</strong><br />
reliability and limitations of surface NMR. Our<br />
area of study is near Lex<strong>in</strong>gton, Nebraska, <strong>in</strong><br />
<strong>the</strong> central United States, overly<strong>in</strong>g <strong>the</strong> High<br />
Pla<strong>in</strong>s Aquifer, which is one of <strong>the</strong> largest and<br />
most important aquifers <strong>in</strong> <strong>the</strong> U.S.<br />
We use borehole NMR measurements of<br />
relaxation time distributions, T2, and electrical<br />
resistivity, acquired <strong>in</strong> a 150-m deep borehole<br />
drilled at <strong>the</strong> site <strong>in</strong> November 2009 (Knight et<br />
al., 2012). Because surface NMR measures a<br />
different transverse relaxation time constant,<br />
referred to as T2*, we transform <strong>the</strong> measured<br />
T2 distributions to pseudo-T2* distributions<br />
follow<strong>in</strong>g Knight et al., 2012, account<strong>in</strong>g for a<br />
magnetic field <strong>in</strong>homogeneity effect and an<br />
<strong>in</strong>strument dead time.<br />
In <strong>the</strong> forward model<strong>in</strong>g stage, we use <strong>the</strong><br />
borehole-determ<strong>in</strong>ed water content, pseudo-<br />
T2*, and resistivity as <strong>in</strong>put to predict <strong>the</strong><br />
surface-NMR response for this site. We<br />
explore <strong>the</strong> effects of discretiz<strong>in</strong>g water<br />
content and resistivity models at different<br />
resolutions on <strong>the</strong> predicted surface-NMR<br />
sound<strong>in</strong>g curves.<br />
We analyze two sets of surface-NMR data that<br />
were acquired at <strong>the</strong> site <strong>in</strong> April 2009 and<br />
April 2012. We process a total of 768<br />
record<strong>in</strong>gs for <strong>the</strong> 2009 data set and 1232<br />
record<strong>in</strong>gs for 2012. Signal process<strong>in</strong>g<br />
<strong>in</strong>cludes noise cancellation us<strong>in</strong>g reference<br />
record<strong>in</strong>gs at three locations around <strong>the</strong> field<br />
site, removal of outliers, band-pass filter<strong>in</strong>g,<br />
stack<strong>in</strong>g of record<strong>in</strong>gs for each pulse moment,<br />
and fitt<strong>in</strong>g. We <strong>in</strong>vert <strong>the</strong> surface-NMR data<br />
sets us<strong>in</strong>g QT <strong>in</strong>version (Müller-Petke and<br />
Yaramanci, 2010) and estimate <strong>the</strong> predicted<br />
water content profiles and T2* depth<br />
distributions. Various <strong>in</strong>version parameters are<br />
explored, <strong>in</strong>clud<strong>in</strong>g smooth<strong>in</strong>g and mono- vs.<br />
multi-exponential fitt<strong>in</strong>g.<br />
Prelim<strong>in</strong>ary results suggest <strong>the</strong> presence of a<br />
systematic difference between <strong>the</strong> observed<br />
and modeled surface-NMR data. Modeled<br />
signal amplitudes are consistently larger, by as<br />
much as a factor of three, than observed <strong>in</strong> <strong>the</strong><br />
2009 and 2012 surface-NMR measurements.<br />
Because signal amplitude is l<strong>in</strong>early related to<br />
water content, we observe <strong>the</strong> same<br />
discrepancy when compar<strong>in</strong>g borehole- and<br />
surface-NMR water content profiles. We are<br />
assess<strong>in</strong>g possible sources for this discrepancy,<br />
such as <strong>the</strong> quality of <strong>the</strong> T2 to T2*<br />
transformation and <strong>the</strong> <strong>in</strong>fluence of magnetite<br />
<strong>in</strong> <strong>the</strong> pore space of <strong>the</strong> subsurface materials.<br />
References<br />
Knight, R., Grunewald, E., Irons, T., Dlubac, K.,<br />
Song, Y., Bachman, H. N., Grau, B., Walsh, D.<br />
J., Abraham, D., Cannia, J. (2012): Field<br />
experiment provides ground truth for surface<br />
nuclear magnetic resonance measurement.<br />
Geophys. Res. Lett., 39, L03304.<br />
Müller-Petke, M., Yaramanci, U. (2010): QT<br />
Inversion <strong>–</strong> Comprehensive use of <strong>the</strong> complete<br />
surface NMR data set. Geophysics, 75, WA199-<br />
WA209.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
MRSMatlab <strong>–</strong> a toolbox for model<strong>in</strong>g, process<strong>in</strong>g, and <strong>in</strong>vert<strong>in</strong>g surface-NMR data 46<br />
MRSMatlab <strong>–</strong> a toolbox for model<strong>in</strong>g, process<strong>in</strong>g, and <strong>in</strong>vert<strong>in</strong>g surface-<br />
NMR data<br />
Mike Müller-Petke 1 , Jan O. Walbrecker 2 , S. Costabel 3 , T. Gün<strong>the</strong>r 1 , M. Hertrich 4<br />
1 Leibniz Institute for Applied Geophysics, Hannover, Germany<br />
2 Stanford University, Department of Geophysics, Stanford, USA<br />
3 Federal Institute for Geosciences and Natural Resources, Berl<strong>in</strong><br />
4 ETH Zurich, Institute of Geophysics, Switzerland<br />
Mike.mueller-petke@liag-hannover.de<br />
Surface Nuclear <strong>Magnetic</strong> <strong>Resonance</strong> (SNMR)<br />
is a geophysical technique tailored for<br />
explor<strong>in</strong>g groundwater occurrences <strong>in</strong> <strong>the</strong><br />
shallow subsurface. Many groups worldwide<br />
have contributed significant improvements to<br />
<strong>the</strong> technique over <strong>the</strong> last decade, cover<strong>in</strong>g all<br />
important segments such as data acquisition,<br />
process<strong>in</strong>g, forward model<strong>in</strong>g, and <strong>in</strong>version.<br />
We have fused many of <strong>the</strong> recent advances<br />
<strong>in</strong>to <strong>the</strong> s<strong>in</strong>gle open-source software toolkit<br />
MRSmatlab. The software consists of various<br />
modules for data process<strong>in</strong>g, forward<br />
model<strong>in</strong>g, and <strong>in</strong>version of surface-NMR data.<br />
For process<strong>in</strong>g, data can be imported from all<br />
currently available commercial surface-NMR<br />
systems (import of raw as well as preprocessed<br />
data is facilitated). Process<strong>in</strong>g supports<br />
enhanced data <strong>in</strong>spection, digital filter<strong>in</strong>g,<br />
spike suppression, data fitt<strong>in</strong>g, and noise<br />
cancellation employ<strong>in</strong>g one or more reference<br />
channels.<br />
Forward model<strong>in</strong>g currently features setups of<br />
co<strong>in</strong>cident transmitter and receiver loops of<br />
circular, square, or figure-8 geometry.<br />
Arbitrary 1D electrical-conductivity structures<br />
can be <strong>in</strong>cluded. S<strong>in</strong>gle and double-pulse<br />
surface-NMR experiments can be modeled to<br />
study <strong>the</strong> effect of water content and <strong>the</strong> T1<br />
relaxation parameter, respectively. For<br />
improved forward model<strong>in</strong>g off-resonance<br />
excitation can be <strong>in</strong>cluded (Walbrecker et. al,<br />
2011a)<br />
The <strong>in</strong>version implemented <strong>in</strong> MRSmatlab is<br />
based on <strong>the</strong> recently <strong>in</strong>troduced QT-Inversion<br />
approach (Müller-Petke and Yaramanci, 2010)<br />
with improved performance, support<strong>in</strong>g<br />
complex surface-NMR data as well as<br />
smooth/layered model discretization and<br />
mono/multi-exponential decay times. The most<br />
recent feature is <strong>the</strong> <strong>in</strong>version of double-pulse<br />
data to obta<strong>in</strong> <strong>the</strong> T1 relaxation parameter<br />
based on pcPSR (Walbrecker et.al. 2011b).<br />
The software package is frequently ma<strong>in</strong>ta<strong>in</strong>ed,<br />
under cont<strong>in</strong>uous development, and publicly<br />
available to <strong>the</strong> surfacfe-NMR community<br />
through a website.<br />
References<br />
Mueller-Petke, M. & Yaramanci, U. (2010): QT<br />
<strong>in</strong>version --- Comprehensive use of <strong>the</strong> complete<br />
surface NMR data set. Geophysics, SEG, 75 (4),<br />
WA199-WA209.<br />
Walbrecker, J. O., Hertrich, M. & Green, A. G.<br />
(2011a): Off-resonance effects <strong>in</strong> surface nuclear<br />
magnetic resonance. Geophysics, SEG, 76 (2),<br />
G1-G12.<br />
Walbrecker, J. O., Hertrich, M., Lehmann-Horn, J.<br />
A. & Green, A. G. (2011b): Estimat<strong>in</strong>g <strong>the</strong><br />
longitud<strong>in</strong>al relaxation time T1 <strong>in</strong> surface NMR.<br />
Geophysics, SEG, 76 (2), F111-F122.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Research<strong>in</strong>g vertical resolution of SNMR by us<strong>in</strong>g numerical simulation 47<br />
Research<strong>in</strong>g vertical resolution of SNMR by us<strong>in</strong>g numerical simulation<br />
Wang Peng 1 ,Zhengyu Li 1 ,Fei Yan 1<br />
1 Ch<strong>in</strong>a University of Geosciences,Wuhan,PRC<br />
pwhope@163.com<br />
Abstract<br />
At present, few geophysicists research<br />
resolution of SNMR. There are many factors<br />
impact<strong>in</strong>g resolution of SNMR, <strong>the</strong>y relate to<br />
<strong>the</strong> whole process from excitation to data<br />
process<strong>in</strong>g. There is no strict def<strong>in</strong>ition of<br />
resolution of SNMR <strong>in</strong> o<strong>the</strong>r paper, and a<br />
cursory def<strong>in</strong>ition of resolution of SNMR has<br />
been given <strong>in</strong> this paper. We can say that <strong>the</strong><br />
vertical resolution of SNMR is <strong>the</strong> m<strong>in</strong>imum<br />
thickness that we can recognize along with <strong>the</strong><br />
vertical direction of <strong>the</strong> strata, <strong>the</strong> horizontal<br />
resolution of SNMR is <strong>the</strong> m<strong>in</strong>imum width that<br />
we can recognize along with <strong>the</strong> horizontal<br />
direction of <strong>the</strong> strata. There are many factors<br />
affect<strong>in</strong>g <strong>the</strong> resolution of SNMR, which exist<br />
<strong>in</strong> <strong>the</strong> whole process <strong>in</strong>clud<strong>in</strong>g excitation,<br />
collection, data process<strong>in</strong>g and <strong>in</strong>tegrated<br />
<strong>in</strong>terpretation.These factors can be divided <strong>in</strong>to<br />
natural factors and hunman factors. The natural<br />
factors <strong>in</strong>clude strata resistivity, geomagnetic<br />
field <strong>in</strong>tensity, <strong>the</strong> dip angle of geomagnetic<br />
field, <strong>the</strong> type of <strong>the</strong> waterstone and so on.The<br />
hunman factors <strong>in</strong>clude <strong>the</strong> shape and size of<br />
<strong>the</strong> coil , <strong>the</strong> number and <strong>the</strong> value of <strong>the</strong> pulse<br />
and so on.<br />
In <strong>the</strong> uniform half-space, with <strong>the</strong> method<br />
of forward numerical simulation, <strong>the</strong> SNMR<br />
forward models for s<strong>in</strong>gle water layer <strong>in</strong><br />
different factors are caculated by Samogon<br />
software.In this paper six factors have been<br />
discused, it <strong>in</strong>cludes <strong>the</strong> dip angle of<br />
geomagnetic field, <strong>the</strong> size of <strong>the</strong> coil, <strong>the</strong><br />
value of T2*,<strong>the</strong> water content of <strong>the</strong> aquifer,<br />
<strong>the</strong> thickness and depth of <strong>the</strong> aquifer, and<br />
related q-E0 figures are drawn. These figures<br />
can reflect how <strong>the</strong> factors affect <strong>the</strong> vertical<br />
resolution of SNMR. Besides, it can be<br />
<strong>in</strong>duced that <strong>the</strong> relationship between <strong>the</strong><br />
resolv<strong>in</strong>g power of SNMR and <strong>the</strong> aquifer with<br />
th<strong>in</strong> thickness or low water content. The results<br />
will provide <strong>the</strong>oretical basis for explor<strong>in</strong>g<br />
groundwater with SNMR method.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Study on Factors Affect<strong>in</strong>g SNMR Vertical and Lateral Resolution 48<br />
Study on Factors Affect<strong>in</strong>g SNMR Vertical and Lateral Resolution<br />
Fei Yan, Zhenyu Li, Wang Peng, Zunp<strong>in</strong>g Hu, Yuchao Xu, Huangjian Wu<br />
Institute of Geophysics and Geomatics, Ch<strong>in</strong>a University of Geosciences, Wuhan, PRC<br />
kdjf_025@126.com<br />
There are many factors affect<strong>in</strong>g <strong>the</strong> resolution<br />
of surface nuclear magnetic resonance (shorted<br />
for SNMR), which exist <strong>in</strong> <strong>the</strong> whole process<br />
<strong>in</strong>clud<strong>in</strong>g excitation, collection, data<br />
process<strong>in</strong>g and <strong>in</strong>tegrated <strong>in</strong>terpretation. The<br />
resolution of SNMR can be divided <strong>in</strong>to <strong>the</strong><br />
vertical resolution and <strong>the</strong> lateral resolution.<br />
The paper ma<strong>in</strong>ly make forward numerical<br />
simulation for aquiferous cyl<strong>in</strong>ders <strong>in</strong> <strong>the</strong><br />
uniform half-space to study <strong>the</strong> variations of<br />
SNMR signal amplitudes affected by <strong>the</strong> water<br />
content , <strong>the</strong> thickness and <strong>the</strong> depth of <strong>the</strong><br />
aquiferous body, as well as <strong>the</strong> stratigraphic<br />
conductivity. The q-E0 figures are drawn and<br />
generalize <strong>the</strong> resolv<strong>in</strong>g power of SNMR for<br />
low water content or th<strong>in</strong> aquifer. The results<br />
will provide <strong>the</strong>oretical basis for explor<strong>in</strong>g<br />
groundwater with SNMR method.<br />
In <strong>the</strong> numerical simulation, transmittance and<br />
reception with <strong>the</strong> same loop is used as <strong>the</strong><br />
work<strong>in</strong>g pattern, and aquiferous cyl<strong>in</strong>der is<br />
used as <strong>the</strong> water model. The diameter of <strong>the</strong><br />
cyl<strong>in</strong>der evaluates <strong>the</strong> lateral resolution, while<br />
<strong>the</strong> thickness of <strong>the</strong> cyl<strong>in</strong>der evaluates <strong>the</strong><br />
vertical resolution. Accord<strong>in</strong>g to <strong>the</strong> field test<br />
experience, E0max = 50nV is def<strong>in</strong>ed as <strong>the</strong><br />
measur<strong>in</strong>g standard of <strong>the</strong> recognizable SNMR<br />
response, which means if <strong>the</strong> detected SNMR<br />
response meets <strong>the</strong> standard, <strong>the</strong>re is<br />
groundwater <strong>in</strong> <strong>the</strong> formation, o<strong>the</strong>rwise it<br />
can't be affirmed that <strong>the</strong>re is groundwater <strong>in</strong><br />
<strong>the</strong> formation. E0max represents <strong>the</strong> maximum<br />
of <strong>the</strong> <strong>in</strong>itial amplitude. Aquiferous body<br />
which is up to <strong>the</strong> standard is called<br />
recognizable aquiferous body.<br />
Accord<strong>in</strong>g to <strong>the</strong> caculational results, some<br />
conclusions can be shown as followed:<br />
1. When <strong>the</strong> diameter of aquiferous cyl<strong>in</strong>der is<br />
fixed, with <strong>the</strong> <strong>in</strong>crease of <strong>the</strong> buried depth of<br />
aquiferous body, thickness of <strong>the</strong> recognizable<br />
aquiferous body <strong>in</strong>crease as well. The vertical<br />
resolution of SNMR decl<strong>in</strong>es; when <strong>the</strong><br />
thickness of <strong>the</strong> aquiferous cyl<strong>in</strong>der is fixed,<br />
<strong>the</strong> diameter of <strong>the</strong> recognizable aquiferous<br />
body becomes larger along with <strong>the</strong> <strong>in</strong>crease of<br />
<strong>the</strong> burial depth of aquiferous body, and <strong>the</strong><br />
<strong>in</strong>creas<strong>in</strong>g range largens, which means <strong>the</strong><br />
lateral resolution of SNMR decl<strong>in</strong>es.<br />
2. When <strong>the</strong> diameter of aquiferous cyl<strong>in</strong>der is<br />
fixed, <strong>the</strong> thickness of <strong>the</strong> recognizable<br />
aquiferous body decreases with <strong>the</strong> <strong>in</strong>crease of<br />
<strong>the</strong> burial depth of aquiferous body, and <strong>the</strong><br />
rangeability reduces gradually, which means<br />
<strong>the</strong> vertical resolution of SNMR <strong>in</strong>creases;<br />
when <strong>the</strong> thickness of <strong>the</strong> aquiferous cyl<strong>in</strong>der<br />
is fixed, <strong>the</strong> diameter of <strong>the</strong> recognizable<br />
aquiferous body will become smaller with <strong>the</strong><br />
<strong>in</strong>crease of <strong>the</strong> water content of aquiferous<br />
body, which means <strong>the</strong> aquiferous body with<br />
larger water content has higher lateral<br />
resolution of SNMR.<br />
3. when <strong>the</strong> diameter of aquiferous cyl<strong>in</strong>der is<br />
fixed, if formation resistivity changes from<br />
1Ω•m to 1000Ω•m, <strong>the</strong> thickness of <strong>the</strong><br />
recognizable aquiferous body will decrease<br />
rapidly at first and <strong>the</strong>n <strong>in</strong>crease a little , which<br />
means <strong>the</strong> vertical resolution of SNMR is<br />
highest when <strong>the</strong> resistivity is a specific value;<br />
when <strong>the</strong> thickness of <strong>the</strong> aquiferous body is<br />
fixed, <strong>the</strong> diameter of <strong>the</strong> recognizable<br />
aquiferous body becomes smaller with <strong>the</strong><br />
<strong>in</strong>crease of formation resistivity, which means<br />
<strong>the</strong> lateral resolution of SNMR enhances.<br />
noise <strong>in</strong>terference.<br />
References<br />
Aihua Weng, Zhoubo Li, Xueqiu Wang. (2002):<br />
Numerical study of SNMR response. Comput<strong>in</strong>g<br />
Techniques For Geophysical and Geochemical<br />
Exploration, 24(2): 97~101.<br />
Goldman M, Rab<strong>in</strong>ovich B, Rab<strong>in</strong>ovich M, et al.<br />
(1994): Application of <strong>the</strong> <strong>in</strong>tegrated NMR-<br />
TDEM method <strong>in</strong> groundwater exploration <strong>in</strong><br />
Israel. Journal of Applied Geophysics, 31(4):<br />
27~52.<br />
Shusakov, O.A., Legchenko,A.V.. (1995): Surface<br />
NMR applied to an electroconductive medium.<br />
Geophysics.Prosp.,vol.43, 623~633.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Advances <strong>in</strong> hydrological<br />
parameterization<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
49
Recent advancements <strong>in</strong> NMR for characteriz<strong>in</strong>g <strong>the</strong> vadose zone 50<br />
Recent advancements <strong>in</strong> NMR for characteriz<strong>in</strong>g <strong>the</strong> vadose zone<br />
David Walsh 1 , Elliot Grunewald 1 , Hong Zhang 1 , Paul Ferre 2 and Andrew H<strong>in</strong>nell 2<br />
1 Vista Clara, Inc., Mukilteo, WA, USA, davewalsh@vista-clara.com, 2 University of Arizona, Tucson AZ, USA<br />
Until recently, most applications of NMR<br />
<strong>in</strong> hydrogeology have focused on detect<strong>in</strong>g<br />
and characteriz<strong>in</strong>g groundwater <strong>in</strong> <strong>the</strong><br />
saturated zone. Ano<strong>the</strong>r target for<br />
hydrogeophysical methods is water <strong>in</strong> <strong>the</strong><br />
vadose zone, <strong>the</strong> dynamics of which<br />
control contam<strong>in</strong>ant migration,<br />
groundwater recharge, evapotranspiration,<br />
and soil stability. The challenge of<br />
characteriz<strong>in</strong>g water <strong>in</strong> <strong>the</strong> vadose zone by<br />
NMR is that <strong>the</strong> signals are typically very<br />
weak (due to low water content) and very<br />
short (due to concentration of water on<br />
gra<strong>in</strong> surfaces or <strong>in</strong> <strong>the</strong> smallest available<br />
pores). Here we present improvements <strong>in</strong><br />
NMR geophysics technology over <strong>the</strong> past<br />
4 years, and demonstrate <strong>the</strong> application of<br />
<strong>the</strong>se technologies to vadose zone<br />
characterization.<br />
To address <strong>the</strong> challenges of us<strong>in</strong>g Earth’s<br />
field surface NMR <strong>in</strong>strumentation to<br />
detect and characterize water <strong>in</strong> <strong>the</strong> vadose<br />
zone, we designed a modified GMR<br />
<strong>in</strong>strument with faster switch<strong>in</strong>g and higher<br />
powered electronics. This <strong>in</strong>strument has a<br />
measurement dead-time of 2.8 ms, an<br />
<strong>in</strong>stantaneous power output of 7000 V and<br />
800 A, and a noise floor of 0.5 nV/rt(Hz).<br />
The new <strong>in</strong>strument was used to collect<br />
and <strong>in</strong>terpret surface NMR data at active<br />
vadose zone <strong>in</strong>vestigation sites <strong>in</strong> <strong>the</strong><br />
western United States. First, <strong>the</strong> equipment<br />
was used to detect, image and quantify<br />
water <strong>in</strong>filtrat<strong>in</strong>g <strong>in</strong>to <strong>the</strong> ground at a<br />
managed aquifer storage and recovery<br />
(ASR) facility <strong>in</strong> Tucson Arizona. Analysis<br />
of this data <strong>in</strong>dicates that <strong>the</strong> surface NMR<br />
tool was able to measure <strong>the</strong> recharge<br />
speed of <strong>the</strong> <strong>in</strong>itial wett<strong>in</strong>g front, and<br />
quantify some, but not all of <strong>the</strong> water that<br />
was recharged. Fur<strong>the</strong>r analysis showed<br />
that <strong>in</strong>filtrat<strong>in</strong>g water filled larger pores,<br />
temporarily, and <strong>the</strong> water filled pore size<br />
distribution <strong>in</strong> <strong>the</strong> top 15m returned to its<br />
“dry“ condition with<strong>in</strong> 3 weeks of <strong>the</strong> end<br />
of <strong>the</strong> surface water <strong>in</strong>filtration.<br />
Additional surface NMR measurements at<br />
vadose zone <strong>in</strong>vestigations <strong>in</strong> Wash<strong>in</strong>gton,<br />
Nebraska and Kansas demonstrated that<br />
<strong>the</strong> equipment could detect and image <strong>the</strong><br />
location of bound and perched water to<br />
depths of at least 25m. Borehole NMR logs<br />
at <strong>the</strong>se sites <strong>in</strong>dicated that <strong>the</strong> surface<br />
NMR measurements were detect<strong>in</strong>g only a<br />
portion of <strong>the</strong> bound water. Additional<br />
borehole NMR measurements <strong>in</strong> eastern<br />
Kansas demonstrated <strong>the</strong> ability of NMR<br />
logg<strong>in</strong>g to detect and quantify transient<br />
water content <strong>in</strong> <strong>the</strong> vadose zone. In this<br />
case decayed tree roots were temporarily<br />
saturated with water, follow<strong>in</strong>g a local<br />
stream flood event.<br />
F<strong>in</strong>ally, a new geotechnical NMR<br />
<strong>in</strong>strument has been developed and<br />
demonstrated for detect<strong>in</strong>g and<br />
characteriz<strong>in</strong>g soil moisture <strong>in</strong> <strong>the</strong> top 1m<br />
of <strong>the</strong> subsurface. This tool generates a<br />
boosted static gradient field, and performs<br />
non-<strong>in</strong>vasive CPMG NMR measurements<br />
<strong>in</strong> <strong>the</strong> low RF band (40 kHz <strong>–</strong> 500 kHz)<br />
with an echo spac<strong>in</strong>g of 1 ms or less.<br />
Prelim<strong>in</strong>ary field tests showed that <strong>the</strong> tool<br />
can accurately measure water content and<br />
its T2 distribution at multiple depths, <strong>in</strong><br />
both dry and wetted conditions, with total<br />
scan times of approximately 3 m<strong>in</strong>utes.<br />
Acknowledgement: This material is based upon<br />
work supported, <strong>in</strong> part, by <strong>the</strong> US Department of<br />
Energy under Grant numbers DE-FG02-<br />
08ER84979 and DE-SC000423, and US Army<br />
Contract # W912HZ-12-P-0018. Any op<strong>in</strong>ions,<br />
f<strong>in</strong>d<strong>in</strong>gs, and conclusions or recommendations<br />
expressed <strong>in</strong> this material are those of <strong>the</strong> author(s)<br />
and do not necessarily reflect <strong>the</strong> views of <strong>the</strong> US<br />
Department of Energy or <strong>the</strong> US Army.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Direct <strong>in</strong>version for water retention parameters from MRS measurements <strong>in</strong> <strong>the</strong><br />
saturated/unsaturated zone <strong>–</strong> a sensitivity study 51<br />
Direct <strong>in</strong>version for water retention parameters from MRS measurements<br />
<strong>in</strong> <strong>the</strong> saturated/unsaturated zone <strong>–</strong> a sensitivity study<br />
Stephan Costabel 1 and Thomas Gün<strong>the</strong>r 2<br />
1 Federal Institute for Geosciences and Natural Resources, Berl<strong>in</strong><br />
2 Leibniz Institute for Applied Geophysics, Hannover<br />
stephan.costabel@bgr.de<br />
The idea of apply<strong>in</strong>g MRS for characteriz<strong>in</strong>g<br />
<strong>the</strong> vadose zone has been discussed for almost<br />
ten years. First experiments showed that it is<br />
actually possible to identify water <strong>in</strong> <strong>the</strong><br />
unsaturated zone (e.g. Roy and Lubczynski,<br />
2005). However, <strong>the</strong> reliability of this<br />
<strong>in</strong>formation is usually quite poor due to low<br />
signal-to-noise ratios (S/N). Moreover, it has<br />
become apparent that <strong>the</strong> usual MRS<br />
<strong>in</strong>terpretation concept based on smooth<br />
<strong>in</strong>version techniques is not suitable to estimate<br />
hydraulic parameters, unless time-lapse MRS<br />
is performed to monitor water fluxes <strong>in</strong> <strong>the</strong><br />
subsurface (Roy and Lubczynski, 2005;<br />
Costabel and Yaramanci, 2011).<br />
Costabel and Yaramanci (2011) suggested an<br />
alternative MRS <strong>in</strong>version approach for<br />
estimat<strong>in</strong>g water retention (WR) parameters. It<br />
is based on <strong>the</strong> soil physical parameterization<br />
of <strong>the</strong> capillary fr<strong>in</strong>ge (CF), i.e. <strong>the</strong> transition<br />
between <strong>the</strong> unsaturated and <strong>the</strong> saturated<br />
zones. In do<strong>in</strong>g so, a WR model (e.g. after<br />
Brooks and Corey, 1964) that describes <strong>the</strong><br />
water content <strong>in</strong>crease <strong>in</strong> <strong>the</strong> capillary fr<strong>in</strong>ge is<br />
<strong>in</strong>cluded <strong>in</strong> <strong>the</strong> MRS forward operator.<br />
Consequently, <strong>the</strong> CF <strong>in</strong>version approach<br />
directly provides <strong>the</strong> WR parameters and,<br />
follow<strong>in</strong>g <strong>the</strong> common soil physical concept of<br />
piston flow, it becomes possible to estimate <strong>the</strong><br />
unsaturated hydraulic conductivity as a<br />
function of <strong>the</strong> saturation degree.<br />
We have developed and <strong>in</strong>vestigated <strong>the</strong> CF<br />
<strong>in</strong>version approach fur<strong>the</strong>r to account for<br />
different WR models and to assess its general<br />
applicability. Its forward operator generally<br />
consists of five parameters: <strong>the</strong> saturated and<br />
<strong>the</strong> residual water content, a parameter for <strong>the</strong><br />
height of <strong>the</strong> CF, a parameter describ<strong>in</strong>g <strong>the</strong><br />
gradient of <strong>the</strong> water content <strong>in</strong>crease <strong>in</strong> <strong>the</strong><br />
CF, and <strong>the</strong> water table. However, <strong>the</strong> residual<br />
water content for our examples is generally<br />
neglected. This is <strong>in</strong> common with <strong>the</strong> usual<br />
assumption that water related to <strong>the</strong> smallest<br />
pores is unvisible with MRS due to <strong>the</strong><br />
<strong>in</strong>strumental dead time.<br />
A sensitivity study based on both syn<strong>the</strong>tic and<br />
real data analyzes <strong>the</strong> resolution properties, <strong>the</strong><br />
uncerta<strong>in</strong>ties and <strong>the</strong> cross covariances of <strong>the</strong><br />
<strong>in</strong>volved parameters. The <strong>in</strong>version is realized<br />
with <strong>the</strong> software package GIMLi us<strong>in</strong>g a<br />
Marquardt-Levenberg m<strong>in</strong>imization scheme<br />
us<strong>in</strong>g logarithmic barriers to keep <strong>the</strong> parameters<br />
with<strong>in</strong> reasonable ranges along with <strong>the</strong><br />
computation of model uncerta<strong>in</strong>ties.<br />
For every WR model, we found that it is not<br />
mean<strong>in</strong>gful to <strong>in</strong>vert for all parameters at once.<br />
At least, an estimate of <strong>the</strong> CF’s height or <strong>the</strong><br />
water table must be available as a-priori<br />
<strong>in</strong>formation. O<strong>the</strong>rwise <strong>the</strong> CF <strong>in</strong>version<br />
cannot reliably be applied, even when <strong>the</strong> noise<br />
level is unrealistically low. The accuracy of <strong>the</strong><br />
saturated water content is generally high with<br />
errors less than 1%. Depend<strong>in</strong>g on <strong>the</strong> actual<br />
noise level, <strong>the</strong> uncerta<strong>in</strong>ties of <strong>the</strong> o<strong>the</strong>r<br />
parameters are <strong>in</strong> <strong>the</strong> range of 10 to 100%, i.e.,<br />
only for moderate noise conditions <strong>the</strong> CF<br />
<strong>in</strong>version can provide WR parameters accurate<br />
enough to estimate <strong>the</strong> unsaturated hydraulic<br />
conductivity. However, <strong>the</strong> CF <strong>in</strong>version is a<br />
first attempt to <strong>in</strong>terpret MRS measurements<br />
with <strong>the</strong> focus on hydraulic parameters<br />
characteriz<strong>in</strong>g <strong>the</strong> vadose zone.<br />
References<br />
Brooks, R. H., Corey, A.T. (1964), Hydraulic<br />
properties of porous media. Colorado State<br />
University Papers 3.<br />
Costabel, S., Yaramanci, U. (2011): Relative<br />
hydraulic conductivity <strong>in</strong> <strong>the</strong> vadose zone from<br />
magnetic resonance sound<strong>in</strong>g <strong>–</strong> Brooks-Corey<br />
parameterization of <strong>the</strong> capillary fr<strong>in</strong>ge.<br />
Geophysics, 76 (3), 61-71.<br />
Roy, J., Lubczynski, M. W. (2005): MRS multiexponential<br />
decay analysis: aquifer pore-size<br />
distribution and vadose zone characterization.<br />
Near Surface Geophysics, 3(4), 287-298.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
MRS subsurface parametrization for coupled hydrological Marmites model 52<br />
MRS subsurface parametrization for coupled hydrological Marmites model<br />
Baronc<strong>in</strong>i-Turricchia, G. 1,2,* ; Francés, A.P. 1 ; Lubczynski, M.W. 1 ; Martínez-Fernández, J. 2 ;<br />
Roy, J. 3<br />
1 ITC-Twente University, Hengelosestraat 99, Enschede (NL)<br />
2 CIALE-Universidad de Salamanca, Calle Duero 12 37185 Villamayor, Salamanca (ES)<br />
3 IGP, cp 48671 csp van Horne, Outremont, QC, Canada H2V 4T9, former ITC<br />
* coprolog@yahoo.com<br />
This study presents MRS data <strong>in</strong>tegration <strong>in</strong><br />
<strong>the</strong> transient and distributed MARMITES-<br />
MODFLOW (MM-MF) coupled models<br />
(Frances et al. 2011) that simulate <strong>the</strong> water<br />
fluxes between land surface, unsaturated and<br />
saturated zones. The MM-MF allows to<br />
compute spatio-temporally a water balance at<br />
<strong>the</strong> catchment scale.<br />
The coupled models like MM-MF, due to <strong>the</strong>ir<br />
spatio- temporally variable <strong>in</strong>put fluxes are<br />
better constra<strong>in</strong>ed, so more reliable, than <strong>the</strong><br />
standard groundwater models. They are<br />
particularly valuable when facilitated by good<br />
monitor<strong>in</strong>g network and supported by reliable<br />
aquifer system parameterization. We present<br />
MRS data <strong>in</strong>tegration follow<strong>in</strong>g Lubczynski<br />
and Roy (2007) <strong>in</strong> <strong>the</strong> coupled Carrizal<br />
catchment MM-MF model. The Carrizal<br />
catchment (73 km 2 ) is located near Salamanca<br />
<strong>in</strong> Spa<strong>in</strong>. It is a hilly, agricultural land,<br />
composed of sedimentary unconsolidated rocks<br />
overla<strong>in</strong> by a sandy soil. The bottom of<br />
unconf<strong>in</strong>ed Carrizal aquifer is at depth of 10-<br />
60 m b.g.s. and a water table at ~4-12 m b.g.s.<br />
The study area is well-equipped with wea<strong>the</strong>r<br />
stations, soil moisture and discharge stations<br />
operat<strong>in</strong>g s<strong>in</strong>ce 1999. Additionally <strong>in</strong> 2009, a<br />
network of 12 piezometers register<strong>in</strong>g<br />
groundwater levels hourly was <strong>in</strong>stalled with<br />
<strong>the</strong> objective of study<strong>in</strong>g <strong>the</strong> shallow alluvial<br />
aquifer regime to assess susta<strong>in</strong>ability of<br />
groundwater resources under <strong>the</strong> <strong>in</strong>creas<strong>in</strong>g<br />
water use, ma<strong>in</strong>ly due to <strong>the</strong> expansion of<br />
irrigation practices. However <strong>in</strong> that study area<br />
<strong>the</strong>re are no aquifer pump<strong>in</strong>g tests to facilitate<br />
aquifer system parameterization. For that<br />
purpose we used non-<strong>in</strong>vasive MRS technique<br />
which allows to def<strong>in</strong>e most important<br />
subsurface parameters <strong>in</strong> non-<strong>in</strong>vasive time-<br />
and scale- efficient manner provid<strong>in</strong>g valuable<br />
constra<strong>in</strong> for <strong>the</strong> model calibration.<br />
To parametrize Carrizal aquifer for <strong>the</strong> MM-<br />
MF coupled model, we carried out <strong>in</strong> total 12<br />
MRS surveys well distributed with<strong>in</strong> <strong>the</strong><br />
Carrizal catchment. These surveys were done<br />
<strong>in</strong> 2010 and 2011 us<strong>in</strong>g NUMIS Lite MRS<br />
equipment. Our aim was to def<strong>in</strong>e: (i)<br />
geometry of <strong>the</strong> shallow unconf<strong>in</strong>ed aquifer,<br />
i.e. aquifer bottom and water table; (ii) aquifer<br />
transmissivity; (iii) aquifer specific yield. The<br />
aquifer geometry was def<strong>in</strong>ed by analyz<strong>in</strong>g <strong>the</strong><br />
water content and pore size distribution along<br />
<strong>the</strong> <strong>in</strong>verted profiles. For <strong>the</strong> aquifer<br />
transmissivity we used MRS forward approach<br />
described <strong>in</strong> Plata and Rubio (2008). F<strong>in</strong>ally,<br />
for estimate of specific yield we applied <strong>the</strong><br />
approach presented by Vouillamoz et al. 2012.<br />
The MM-MF model calibration showed a good<br />
agreement between MRS-derived specific<br />
yield and transmissivity and coupled model<br />
parameters. The Carrizal study confirmed <strong>the</strong><br />
appropriatness of <strong>the</strong> forward method of MRS<br />
parametrization and its suitability for data<br />
<strong>in</strong>tegration <strong>in</strong> coupled models.<br />
References<br />
Francés, A.P., et al., 2011. Towards an improved<br />
assessment of <strong>the</strong> water balance at <strong>the</strong> catchment<br />
scale: a coupled model approach. In: Estudios en<br />
la zona no saturada del suelo: vol.X: ZNS11<br />
Proceed<strong>in</strong>gs, 19-21 October 2011, Salamanca,<br />
Spa<strong>in</strong>: e-book/ p.321-326.<br />
Lubczynski, M.W. and J. Roy, 2007. Use of MRS<br />
for hydrogeological system parameterization and<br />
model<strong>in</strong>g. Bolet<strong>in</strong> Geologico y M<strong>in</strong>ero,. 118(3):<br />
p.509-530.<br />
Plata, J.L. and F.M. Rubio, 2008. The use of MRS<br />
<strong>in</strong> <strong>the</strong> determ<strong>in</strong>ation of hydraulic transmissivity:<br />
The case of alluvial aquifers. Journal of Applied<br />
Geophysics. 66(3-4): p.128-139.<br />
Vouillamoz, J.M., S.Sokheng, O.Bruyere, D.<br />
Caron, L. Arnout 2012. Towards a better<br />
estimate of storage properties of aquifer with<br />
magnetic resonance sound<strong>in</strong>g. Journal of<br />
Hydrology, accepted <strong>in</strong> press.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
An efficient full coupled <strong>in</strong>version of aquifer test, MRS and TEM data 53<br />
An efficient full coupled <strong>in</strong>version of aquifer test, MRS and TEM data<br />
Troels N. Vilhelmsen, Ahmad A. Behroozmand, Steen Christensen, Toke Højbjerg Nielsen,<br />
and Esben Auken<br />
Department of Geosciences, Høegh-Guldbergs Gade 2, 8000 Aarhus C, Aarhus University, Denmark<br />
troels.norv<strong>in</strong>@geo.au.dk<br />
Parameters estimated by MRS can be related<br />
empirically to hydraulic properties such as<br />
hydraulic conductivity or transmissivity if it is<br />
calibrated to nearby aquifer tests. Traditionally<br />
this is done <strong>in</strong>dependently by an analytical<br />
analysis of <strong>the</strong> aquifer test <strong>in</strong> order to get<br />
estimates of storage parameters and<br />
transmissivity. These are subsequently<br />
calibrated/correlated to <strong>the</strong> parameters<br />
estimated by MRS <strong>in</strong>version through an<br />
empirical relation. Examples of this are given<br />
by Nielsen et al. (2011); Vouillamoz et al.<br />
(2002); and o<strong>the</strong>rs. To achieve good results<br />
us<strong>in</strong>g this methodology, analytical models<br />
which agree with <strong>the</strong> field conditions must<br />
exist. However, even if such models exist <strong>the</strong><br />
full potential for <strong>the</strong> resolution of both <strong>the</strong><br />
MRS dataset and <strong>the</strong> aquifer test dataset might<br />
not be achieved due to limitations of<br />
parameters estimated by <strong>the</strong> <strong>in</strong>dividual<br />
methods.<br />
Here we present a new methodology for a full<br />
coupled <strong>in</strong>version between an aquifer test,<br />
MRS and TEM. It has been shown that<br />
<strong>in</strong>version results can be improved us<strong>in</strong>g a jo<strong>in</strong>t<br />
<strong>in</strong>version of MRS and TEM datasets<br />
(Behroozmand et al. 2012). In this context,<br />
especially <strong>the</strong> improved resolutions of layer<br />
thicknesses provide valuable <strong>in</strong>formation when<br />
analyz<strong>in</strong>g aquifer tests. Traditionally aquifer<br />
tests are only used to estimate transmissivity<br />
(namely <strong>the</strong> hydraulic conductivity times <strong>the</strong><br />
thickness), s<strong>in</strong>ce <strong>the</strong> responses measured will<br />
only be sensitive to <strong>the</strong> potential for <strong>the</strong> aquifer<br />
to conduct water. If hydraulic conductivity is<br />
to be determ<strong>in</strong>ed, <strong>the</strong> layer thickness must be<br />
provided through o<strong>the</strong>r sources; this typically<br />
be<strong>in</strong>g through borehole <strong>in</strong>formation. However,<br />
<strong>in</strong> <strong>the</strong> present study we analyze a two aquifer<br />
system, where only <strong>the</strong> upper aquifer is<br />
penetrated by a borehole. The presence of <strong>the</strong><br />
deeper aquifer is only seen as a secondary<br />
drawdown response measured <strong>in</strong> observation<br />
wells <strong>in</strong> <strong>the</strong> upper aquifer and through <strong>the</strong><br />
MRS and TEM sound<strong>in</strong>gs. Based on this<br />
system we suggest and demonstrate a new<br />
coupled <strong>in</strong>version approach. We show that<br />
reliable estimates can be achieved for a<br />
number of parameters perta<strong>in</strong><strong>in</strong>g to each<br />
geological layer: water content, decay time,<br />
resistivity (of low resistivity layers), hydraulic<br />
conductivity and storage coefficients.<br />
Based on <strong>the</strong> results we advocate <strong>the</strong> use of<br />
numerical flow models when analyz<strong>in</strong>g aquifer<br />
tests due to <strong>the</strong>ir versatility, and <strong>the</strong> potential<br />
for <strong>the</strong> proposed method to couple multiple<br />
MRS sound<strong>in</strong>gs to one aquifer test through<br />
regularized constra<strong>in</strong>ts between parameters.<br />
The coupled models were calibrated us<strong>in</strong>g<br />
PEST (Doherty 2010), and <strong>the</strong> forward<br />
responses were calculated us<strong>in</strong>g em1d<strong>in</strong>v<br />
(Auken et al. 2012) for <strong>the</strong> geophysical models<br />
and a radial-symmetric version of MODFLOW<br />
(Clemo 2002) for <strong>the</strong> aquifer test.<br />
References<br />
Auken, E., C. Kirkegaard, and A. V. Christiansen,<br />
2012, EM1DINV part A: A highly versatile and<br />
robust <strong>in</strong>version code implement<strong>in</strong>g accurate<br />
system forward model<strong>in</strong>g and arbitrary model<br />
constra<strong>in</strong>ts: Geophysical Prospect<strong>in</strong>g, Submitted<br />
Behroozmand, A. A., Auken, E., Fiandaca, G., and<br />
Christiansen, A. V. (2012). "Improvement <strong>in</strong><br />
MRS parameter estimation by jo<strong>in</strong>t and laterally<br />
constra<strong>in</strong>ed <strong>in</strong>version of MRS and TEM data."<br />
Geophysics, 77(4), 1-10.<br />
Clemo, T. "MODFLOW-2000 for cyl<strong>in</strong>drical<br />
geometry with <strong>in</strong>ternal flow observations and<br />
improved water table simulation." Boise, Idaho.<br />
Doherty, J. (2010). PEST Model-Independent<br />
Parameter Estimation, User Manual: <strong>5th</strong> edition.<br />
Watermark Numerical Comput<strong>in</strong>g.<br />
Nielsen, M. R., Hagensen, T. F., Chalikakis, K.,<br />
and Legchenko, A. (2011). "Comparison of<br />
transmissivities from MRS and pump<strong>in</strong>g tests <strong>in</strong><br />
Denmark." Near Surface Geophysics, 9, 211-<br />
223.<br />
Vouillamoz, J.-M., Descloitres, M., Bernard, J.,<br />
Fourcassier, P., and Romagny, L. (2002).<br />
"Application of <strong>in</strong>tegrated magnetic resonance<br />
sound<strong>in</strong>g and resistivity methods for borehole<br />
implementation. A case study <strong>in</strong> Cambodia."<br />
Journal of Applied Geophysics, 50, 67-81.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
The <strong>in</strong>tegration of logg<strong>in</strong>g and surface NMR for mapp<strong>in</strong>g spatial variation <strong>in</strong> hydraulic<br />
conductivity 54<br />
The <strong>in</strong>tegration of logg<strong>in</strong>g and surface NMR for mapp<strong>in</strong>g spatial variation<br />
<strong>in</strong> hydraulic conductivity<br />
Rosemary Knight 1 , Elliot Grunewald 2 , Ka<strong>the</strong>r<strong>in</strong>e Dlubac 1 , David Walsh 2 and James Butler 3<br />
1 Stanford University, Department of Geophysics, Stanford, CA, USA<br />
2 Vista Clara Inc., Mukilteo, WA, USA<br />
3 Kansas Geological Survey, Lawrence, KS, USA<br />
rknight@stanford.edu<br />
Over <strong>the</strong> past two decades <strong>the</strong>re has been<br />
grow<strong>in</strong>g <strong>in</strong>terest <strong>in</strong> <strong>the</strong> use of <strong>the</strong> surface NMR<br />
method as a means of characteriz<strong>in</strong>g<br />
groundwater aquifers. The surface NMR<br />
method can be described by <strong>the</strong> same basic<br />
physics as <strong>the</strong> logg<strong>in</strong>g NMR measurement.<br />
Logg<strong>in</strong>g NMR has been used for decades <strong>in</strong><br />
<strong>the</strong> petroleum <strong>in</strong>dustry to obta<strong>in</strong> estimates of<br />
permeability from <strong>the</strong> measured relaxation<br />
time constant T2ML, which is <strong>the</strong> mean log of<br />
<strong>the</strong> acquired distribution of T2 relaxation times.<br />
The basic assumption is that T2ML -1 is directly<br />
related to <strong>the</strong> surface-area-to-volume ratio of<br />
<strong>the</strong> pore space S/V through <strong>the</strong> surface<br />
relaxivity �: T2ML -1 = � S/V. By assum<strong>in</strong>g a<br />
constant value for �, and us<strong>in</strong>g a Kozeny-<br />
Carman type of relationship with NMRderived<br />
porosity, T2ML can provide an estimate<br />
of permeability, or hydraulic conductivity K.<br />
Unlike <strong>the</strong> logg<strong>in</strong>g measurement, <strong>the</strong><br />
surface NMR measurement cannot readily<br />
acquire T2ML data; <strong>in</strong>stead a measure of <strong>the</strong> free<br />
<strong>in</strong>duction decay (FID) yields <strong>the</strong> relaxation<br />
time constant T2ML*, which is <strong>the</strong> mean log of<br />
<strong>the</strong> acquired distribution of T2* relaxation<br />
times. T2ML* can be related to S/V, but <strong>in</strong> <strong>the</strong><br />
presence of <strong>in</strong>homogeneity <strong>in</strong> <strong>the</strong> background<br />
field this relationship can be completely<br />
obscured (Grunewald and Knight, 2011).<br />
Background field <strong>in</strong>homogeneity results <strong>in</strong><br />
relaxation due to static and diffusion-related<br />
dephas<strong>in</strong>g dur<strong>in</strong>g <strong>the</strong> measurement,<br />
characterized by <strong>the</strong> relaxation time T2IH. This<br />
leads to an accelerated decay <strong>in</strong> surface NMR,<br />
caus<strong>in</strong>g T2ML* to underestimate T2ML.<br />
The methodology we propose for us<strong>in</strong>g<br />
surface NMR measurements of T2ML* to<br />
estimate K at a site <strong>in</strong>volves two steps. First<br />
co-located measurements of T2ML and K are<br />
used to determ<strong>in</strong>e <strong>the</strong> form of <strong>the</strong> empirical<br />
relationship required to transform<br />
measurements of T2ML to estimates of K. Next<br />
co-located logg<strong>in</strong>g and surface NMR<br />
measurements are used to determ<strong>in</strong>e how to<br />
transform measurements of T2ML* to T2ML. This<br />
proposed methodology is possible due to<br />
recent advancements <strong>in</strong> technology that have<br />
made available <strong>the</strong> Javel<strong>in</strong> NMR logg<strong>in</strong>g tool,<br />
designed specifically for use <strong>in</strong> small-diameter<br />
water wells. In addition to be<strong>in</strong>g deployed <strong>in</strong> a<br />
borehole, <strong>the</strong> Javel<strong>in</strong> can also be deployed with<br />
a direct-push system.<br />
We have tested this methodology with data<br />
sets from two sites: one from Nebraska<br />
(Knight et al., 2012; Dlubac et al., 2012), and<br />
one acquired at <strong>the</strong> GEMS site <strong>in</strong> Kansas. In<br />
develop<strong>in</strong>g <strong>the</strong> transform from T2ML to K, we<br />
used a modified form of <strong>the</strong> Schlumberger-<br />
Doll research equation. We determ<strong>in</strong>ed <strong>the</strong><br />
values for <strong>the</strong> empirical constants <strong>in</strong> this<br />
equation by optimiz<strong>in</strong>g <strong>the</strong> agreement between<br />
<strong>the</strong> measured K and K predicted from <strong>the</strong> NMR<br />
data. In Nebraska measured K was measured<br />
with a wellbore flowmeter; <strong>in</strong> Kansas K was<br />
measured with a direct push permeameter.<br />
Develop<strong>in</strong>g <strong>the</strong> transform from T2ML* to<br />
T2ML requires quantify<strong>in</strong>g <strong>the</strong> magnitude of<br />
T2IH. In <strong>the</strong> Nebraska study, we had obta<strong>in</strong>ed<br />
an estimate of T2IH from measurements of <strong>the</strong><br />
variability <strong>in</strong> <strong>the</strong> total magnetic field measured<br />
<strong>in</strong> a borehole. In <strong>the</strong> Kansas study, we obta<strong>in</strong>ed<br />
an estimate of T2IH through comparison of <strong>the</strong><br />
surface and <strong>the</strong> logg<strong>in</strong>g data. In both cases we<br />
found excellent agreement between K<br />
estimated from <strong>the</strong> surface NMR data and<br />
measured K. The use of <strong>the</strong>se transforms raises<br />
a number of questions related to scale and<br />
heterogeneity, <strong>the</strong> focus of ongo<strong>in</strong>g research.<br />
References<br />
Grunewald, E. and R. Knight, Near Surface<br />
Geophysics, 9 (2), 169-178 doi:10.3997/1873-<br />
0640.2010062, 2011.<br />
Knight, R., et al., Geophy. Res.Lett., 39, L03304,<br />
doi:10.1029/2011GL050167, 2012.<br />
Dlubac, K., et al., submitted to Water Resources<br />
Research, 2012<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Hard rock hydrogeophysics applied to hydrological model parameterization - Sardón<br />
catchment case study (Salamanca, Spa<strong>in</strong>) 55<br />
Hard rock hydrogeophysics applied to hydrological model<br />
parameterization - Sardón catchment case study (Salamanca, Spa<strong>in</strong>)<br />
Ala<strong>in</strong> Pascal Francés a , Jean Roy b , Maciek Lubczynski a<br />
a <strong>International</strong> Institute for Geo-Information Science and Earth Observation (ITC, Ne<strong>the</strong>rland), b IGP (Canada)<br />
frances08512@itc.nl<br />
Modell<strong>in</strong>g of groundwater systems is<br />
challeng<strong>in</strong>g because of subsurface<br />
heterogeneity and typical data scarcity due to<br />
<strong>the</strong> high cost of <strong>in</strong>vasive methods. Modell<strong>in</strong>g<br />
of hard rock systems is even more difficult<br />
because of extraord<strong>in</strong>ary heterogeneity. In hard<br />
rock aquifers, <strong>the</strong> upper wea<strong>the</strong>red layer, socalled<br />
saprolite, has typically a storage<br />
function while <strong>the</strong> underly<strong>in</strong>g fissured layer<br />
has a transmissive function (Dewandel et al.,<br />
2006; Lloyd, 1999). In this study, we propose<br />
to apply hydrogeophysics to assess <strong>the</strong> aquifer<br />
parameters and geometry. These data are<br />
fur<strong>the</strong>r <strong>in</strong>tegrated <strong>in</strong> a transient and distributed<br />
hydrological model of <strong>the</strong> land surface,<br />
unsaturated and saturated zones (MARMITES-<br />
MODFLOW coupled models).<br />
We applied <strong>the</strong> proposed methodology to<br />
characterize hydrogeologically a hard rock<br />
aquifer with<strong>in</strong> Sardón catchment (~80 km 2 ),<br />
located <strong>in</strong> <strong>the</strong> Iberian Meseta (west of<br />
Salamanca, Spa<strong>in</strong>). The Sardón catchment is<br />
predom<strong>in</strong>antly composed of two micas granites<br />
and is affected <strong>in</strong> its centre by a NNE-SSW<br />
fault (F1) along which <strong>the</strong> ma<strong>in</strong> Sardón stream<br />
is located. Ano<strong>the</strong>r family of faults (F2), with<br />
NE-SW direction, also controls <strong>the</strong> catchment<br />
hydrology. Our objective was to retrieve <strong>the</strong><br />
spatial variation of <strong>the</strong> saprolite and fissured<br />
layers, namely <strong>the</strong>ir thickness and hydraulic<br />
properties. Hydrogeophysics was used to<br />
complement <strong>the</strong> classical methods (geological<br />
mapp<strong>in</strong>g, remote sens<strong>in</strong>g and aerial photograph<br />
analysis of fracture detection) as follow<strong>in</strong>g: i)<br />
subsurface characterization of wea<strong>the</strong>red layers<br />
us<strong>in</strong>g vertical electrical sound<strong>in</strong>gs (VES) at 61<br />
locations, electromagnetic (FDEM) transect<br />
perpendicular to <strong>the</strong> ma<strong>in</strong> valley (~3 km) and<br />
electrical resistivity tomography (ERT) at 13<br />
locations; ii) depth of groundwater table<br />
assessment us<strong>in</strong>g ground penetrat<strong>in</strong>g radar<br />
(GPR) to complement <strong>the</strong> <strong>in</strong>formation of <strong>the</strong><br />
piezometric network; iii) depth-wise<br />
subsurface water content and aquifer<br />
transmissivity quantification us<strong>in</strong>g magnetic<br />
resonance sound<strong>in</strong>g (MRS) at 15 locations. We<br />
realized a drill<strong>in</strong>g campaign of 5 deep<br />
boreholes (25 to 48 m deep) to validate <strong>the</strong><br />
hydrophysical <strong>in</strong>terpretation and complement<br />
15 shallow piezometers bored <strong>in</strong> <strong>the</strong> alluvium.<br />
With <strong>the</strong> GPR method, comb<strong>in</strong>ed with ERT,<br />
we could identify locally <strong>the</strong> water table<br />
(Mahmoudzadeh et al., 2012). Us<strong>in</strong>g <strong>the</strong><br />
FDEM, VES and ERT methods, we were able<br />
to identify <strong>the</strong> saprolite and fissured layers.<br />
The sites surveyed with MRS at <strong>the</strong> hilltop<br />
showed <strong>the</strong> absence of signal, <strong>in</strong>dicat<strong>in</strong>g low<br />
water content (< 2,5%) and/or high content of<br />
f<strong>in</strong>es (silts/clays) <strong>in</strong> <strong>the</strong> saprolite. Along <strong>the</strong><br />
thalweg, we obta<strong>in</strong>ed valid MRS signal at<br />
several places, namely at <strong>the</strong> <strong>in</strong>tersection of <strong>the</strong><br />
two major faults F1 and F2. However, <strong>the</strong> 1D<br />
<strong>in</strong>terpretation of such data was not<br />
straightforward. Fur<strong>the</strong>r analysis of <strong>the</strong> data<br />
<strong>in</strong>volv<strong>in</strong>g comparison with o<strong>the</strong>r authors<br />
(Baltassat et al., 2005; Legchenko et al., 2006;<br />
Vouillamoz et al., 2005; Wyns et al., 2004) as<br />
well as process<strong>in</strong>g us<strong>in</strong>g recently developed<br />
3D <strong>in</strong>version of <strong>the</strong> MRS signal (Legchenko et<br />
al., 2011) may help to <strong>in</strong>terpret <strong>the</strong> obta<strong>in</strong>ed<br />
data. The drill<strong>in</strong>g of two boreholes at this place<br />
showed <strong>the</strong> presence of a thick saprolite layer,<br />
as well as ano<strong>the</strong>r borehole drilled along <strong>the</strong> F1<br />
fault. The o<strong>the</strong>r 2 boreholes showed <strong>the</strong><br />
absence of saprolite and found <strong>the</strong> fissured<br />
layer beneath <strong>the</strong> soil layer. The collected<br />
<strong>in</strong>formation, toge<strong>the</strong>r with soil hydraulic<br />
properties and hydrometeorological data<br />
obta<strong>in</strong>ed from <strong>the</strong> monitor<strong>in</strong>g network, were<br />
used to parameterize <strong>the</strong> system, assess water<br />
fluxes and calibrate <strong>the</strong> hydrological model to<br />
obta<strong>in</strong> <strong>the</strong> water balance at <strong>the</strong> catchment<br />
scale.<br />
The comb<strong>in</strong>ation of <strong>the</strong> techniques applied <strong>in</strong><br />
this study allowed: i) to identify <strong>the</strong><br />
hydrodynamics of <strong>the</strong> Sardón aquifer; ii) to<br />
confirm <strong>the</strong> presence of <strong>the</strong> ma<strong>in</strong> prospective<br />
zone <strong>in</strong> <strong>the</strong> centre of <strong>the</strong> area where a regional<br />
fault zone dra<strong>in</strong>s <strong>the</strong> groundwater of <strong>the</strong><br />
catchment; iii) to evidence through MRS a<br />
high-yield at <strong>the</strong> <strong>in</strong>tersection of two major fault<br />
zones; iii) to provide <strong>the</strong> spatio-temporal<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Hard rock hydrogeophysics applied to hydrological model parameterization - Sardón<br />
catchment case study (Salamanca, Spa<strong>in</strong>) 56<br />
variability of fluxes and estimate <strong>the</strong> water<br />
balance <strong>in</strong> <strong>the</strong> study area; iv) to def<strong>in</strong>e an<br />
efficient protocol of hydrogeological<br />
assessment <strong>in</strong> data scarce areas.<br />
References<br />
Baltassat, J.M., Legchenko, A., Ambroise, B.,<br />
Mathieu, F., Lachassagne, P., Wyns, R., Mercier,<br />
J.L., Schott, J.J., 2005. <strong>Magnetic</strong> resonance<br />
sound<strong>in</strong>g (MRS) and resistivity characterisation<br />
of a mounta<strong>in</strong> hard rock aquifer: <strong>the</strong> R<strong>in</strong>gelbach<br />
Catchment, Vosges Massif, France. Near Surface<br />
Geophysics, 3(4): 267-274.<br />
Dewandel, B., Lachassagne, P., Wyns, R.,<br />
Maréchal, J.C., Krishnamurthy, N.S., 2006. A<br />
generalized 3-D geological and hydrogeological<br />
conceptual model of granite aquifers controlled<br />
by s<strong>in</strong>gle or multiphase wea<strong>the</strong>r<strong>in</strong>g. Journal of<br />
hydrology, 330(1-2): 260-284.<br />
Legchenko, A., Descloitres, M., Bost, A., Ruiz, L.,<br />
Reddy, M., Girard, J.-F., Sekhar, M., Mohan<br />
Kumar, M.S., Braun, J.-J., 2006. Resolution of<br />
MRS Applied to <strong>the</strong> Characterization of Hard-<br />
Rock Aquifers. Ground Water, 44(4): 547-554.<br />
Legchenko, A., Descloitres, M., V<strong>in</strong>cent, C.,<br />
Guyard, H., Garambois, S., Chalikakis, K.,<br />
Ezersky, M., 2011. Three-dimensional magnetic<br />
resonance imag<strong>in</strong>g for groundwater. New<br />
Journal of Physics, 13(2): 025022.<br />
Lloyd, J.W. (Ed.), 1999. Water resources of hard<br />
rock aquifers <strong>in</strong> arid and semi-arid zones. Studies<br />
and reports <strong>in</strong> hydrology. UNESCO, Paris, 284<br />
pp.<br />
Mahmoudzadeh, M.R., Francés, A.P., Lubczynski,<br />
M., Lambot, S., 2012. Us<strong>in</strong>g ground penetrat<strong>in</strong>g<br />
radar to <strong>in</strong>vestigate <strong>the</strong> water table depth <strong>in</strong><br />
wea<strong>the</strong>red granites — Sardon case study, Spa<strong>in</strong>.<br />
Journal of Applied Geophysics, 79(0): 17-26.<br />
Vouillamoz, J.M., Descloitres, M., Toe, G.,<br />
Legchenko, A., 2005. Characterization of<br />
crystall<strong>in</strong>e basement aquifers with MRS:<br />
comparison with boreholes and pump<strong>in</strong>g tests<br />
data <strong>in</strong> Burk<strong>in</strong>a Faso. Near Surface Geophysics,<br />
3(3).<br />
Wyns, R., Baltassat, J.-M., Lachassagne, P.,<br />
Legchenko, A., Vairon, J., Mathieu, F., 2004.<br />
Application of proton magnetic resonance<br />
sound<strong>in</strong>gs to groundwater reserve mapp<strong>in</strong>g <strong>in</strong><br />
wea<strong>the</strong>red basement rocks (Brittany, France).<br />
Bullet<strong>in</strong> de la Societe Geologique de France,<br />
175(1): 21-34.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
A laboratory study to determ<strong>in</strong>e <strong>the</strong> effect of surface roughness and gra<strong>in</strong> diameter on<br />
NMR relaxation rates of glass bead packs. 57<br />
A laboratory study to determ<strong>in</strong>e <strong>the</strong> effect of surface roughness and gra<strong>in</strong><br />
diameter on NMR relaxation rates of glass bead packs.<br />
Krist<strong>in</strong>a Keat<strong>in</strong>g<br />
Rutgers University, Department of Earth and Environmental Sciences, Newark, NJ<br />
kmkeat@andromeda.rutgers.edu<br />
The NMR measurement is used <strong>in</strong> <strong>the</strong> earth<br />
sciences for <strong>the</strong> evaluation of petroleum<br />
reservoirs and aquifers because it can directly<br />
detect hydrogen, <strong>in</strong> hydrocarbons or <strong>in</strong> water,<br />
and is sensitive to pore geometry. While NMR<br />
measurements are used primarily to determ<strong>in</strong>e<br />
water or hydrocarbon content, <strong>the</strong> sensitivity of<br />
<strong>the</strong> measurement to pore geometry means that<br />
it has also be used to estimate <strong>the</strong> permeability<br />
of petroleum reservoirs and <strong>the</strong> hydraulic<br />
conductivity of aquifers (e.g. Yaramanci et al.,<br />
1999; Freedman, 2006).<br />
The measured NMR signal is typically<br />
described by two parameters: <strong>the</strong> <strong>in</strong>itial signal<br />
magnitude, which is proportional to <strong>the</strong><br />
number of hydrogen molecules <strong>in</strong> <strong>the</strong><br />
measured volume, and <strong>the</strong> average relaxation<br />
rate, R2ML. Early numerical work showed that<br />
R2ML is proportional to <strong>the</strong> <strong>in</strong>verse of <strong>the</strong> pore<br />
diameter, 1/d, for idealized pore shapes (i.e.<br />
spherical, cyl<strong>in</strong>drical, or planar; Brownste<strong>in</strong><br />
and Tarr, 1979). For <strong>the</strong>se pore shapes, 1/d is<br />
equal to <strong>the</strong> ratio of <strong>the</strong> pore surface area to<br />
pore volume, S/V, scaled by a factor that<br />
accounts for pore shape (e.g. 3 for spherical<br />
pores). In <strong>the</strong> <strong>in</strong>terpretation of NMR<br />
measurements on geologic material, which do<br />
not have idealized pore, it is often assumed<br />
that both 1/d and S/V are proportional to R2ML.<br />
However, <strong>the</strong>se parameters can only be<br />
equated if <strong>the</strong> pore surface is smooth; for rough<br />
surfaces <strong>the</strong> difference between 1/d and S/V<br />
can be greater than one order of magnitude<br />
(Keat<strong>in</strong>g and Knight, 2010). This laboratory<br />
study was designed to evaluate <strong>the</strong> relationship<br />
between R2ML and both 1/d and S/V for<br />
materials with smooth and rough surfaces and<br />
to determ<strong>in</strong>e which parameter is relavent for<br />
<strong>the</strong> <strong>in</strong>terpretation of NMR data. The results<br />
from this study are a critical step towards<br />
improv<strong>in</strong>g <strong>the</strong> relationship between R2ML and<br />
pore geometry and will ultimately help to<br />
improve NMR derived estimates of<br />
permeability and hydraulic conductivity.<br />
Sample materials were made from soda lime<br />
glass beads with vary<strong>in</strong>g gra<strong>in</strong> diameter and<br />
specific surface area. Four sets of glass beads<br />
with a different range of gra<strong>in</strong> diameters were<br />
used. The surface area of each set of glass<br />
beads was altered <strong>in</strong> three ways; one that<br />
removed surface paramagnetic impurities but<br />
only m<strong>in</strong>imally changed <strong>the</strong> surface area and<br />
bead diameter and two that altered <strong>the</strong> surface<br />
area but only m<strong>in</strong>imally changed <strong>the</strong> bead<br />
diameter. The specific surface area of each<br />
bead type was measured us<strong>in</strong>g <strong>the</strong> BET<br />
adsorption method; <strong>the</strong> average gra<strong>in</strong> diameter<br />
was determ<strong>in</strong>ed by laser particle analysis.<br />
Laboratory NMR measurements were collected<br />
on water saturated glass bead packs us<strong>in</strong>g a 2<br />
MHz Rock Core Analyzer (Magritek Ltd.).<br />
R2ML was plotted aga<strong>in</strong>st both 1/d, estimated<br />
from <strong>the</strong> average gra<strong>in</strong> diameter, and S/V,<br />
calculated from <strong>the</strong> specific surface area. A<br />
s<strong>in</strong>gle l<strong>in</strong>ear function was not found to<br />
acurately represent <strong>the</strong> relationship between<br />
R2ML and 1/d. Two l<strong>in</strong>ear functions were<br />
needed to accurately fit <strong>the</strong> data: one for <strong>the</strong><br />
non-etched samples and one for <strong>the</strong> etched<br />
samples. Conversely, a s<strong>in</strong>gle l<strong>in</strong>ear function<br />
was found to accurately represent <strong>the</strong><br />
relationship between R2ML and S/V (R 2 =0.97).<br />
The results from this study showed that, for<br />
materials with rough surfaces, S/V is <strong>the</strong><br />
relavent parameter <strong>in</strong> <strong>the</strong> <strong>in</strong>terpretation of<br />
NMR data.<br />
References<br />
Brownste<strong>in</strong>, K. R., and Tarr, C. E. (1979): The<br />
importance of classical diffusion on NMR<br />
studies of water <strong>in</strong> biological cells. Phys. Rev. A.<br />
Freedman, R. (2006): Advances <strong>in</strong> NMR logg<strong>in</strong>g.<br />
Journal of Petroleum Technology.<br />
Keat<strong>in</strong>g, K. and Knight, R. (2010): A laboratory<br />
study on <strong>the</strong> effect of Fe(II)-bear<strong>in</strong>g m<strong>in</strong>erals on<br />
nuclear magnetic relaxation rates. Geophysics.<br />
Yaramanci, U., Lange, G., Knödel, K. (1999):<br />
Surface NMR with<strong>in</strong> a geophysical study of an<br />
aquifer at Haldensleben (Germany). Geophysical<br />
Prospect<strong>in</strong>g<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
A numerical study of <strong>the</strong> relationship between NMR relaxation and permeability <strong>in</strong><br />
materials with large pores 58<br />
A numerical study of <strong>the</strong> relationship between NMR relaxation and<br />
permeability <strong>in</strong> materials with large pores<br />
Ka<strong>the</strong>r<strong>in</strong>e Dlubac and Rosemary Knight<br />
Stanford University<br />
kdlubac@Stanford.edu<br />
NMR is a geophysical method of great <strong>in</strong>terest<br />
for groundwater applications because it is able<br />
to provide estimates of permeability (k). The<br />
measured NMR parameters have been used to<br />
estimate k though empirical equations based on<br />
<strong>the</strong> Kozeny-Carman (K-C) relationship, which<br />
predicts k from porosity (�) and <strong>the</strong> ratio<br />
between <strong>the</strong> total surface area and <strong>the</strong> total<br />
volume of <strong>the</strong> pore space (S/V). The<br />
Schlumberger-Doll Research (SDR) equation,<br />
commonly used <strong>in</strong> petroleum applications on<br />
consolidated materials, modifies <strong>the</strong> K-C<br />
relationship by replac<strong>in</strong>g (S/V) -1 with <strong>the</strong> mean<br />
log of T2 (T2ML) and modify<strong>in</strong>g <strong>the</strong> exponent on<br />
�. It is given by kSDR=b� m T2ML n , where b<br />
accounts surface relaxivity (����m is most<br />
commonly equal to 4, and n is set equal to 2.<br />
The SDR equation is based on <strong>the</strong> assumptions<br />
that (1) bulk fluid relaxation (T2B) is negligible,<br />
and (2) because pores are small, relaxation<br />
occurs <strong>in</strong> <strong>the</strong> fast diffusion regime (RFD). By<br />
assum<strong>in</strong>g <strong>the</strong> contribution of T2B is negligible,<br />
T2 -1 is equal to <strong>the</strong> surface relaxation rate, T2S -1 ,<br />
and <strong>the</strong> form of <strong>the</strong> SDR equation for<br />
predict<strong>in</strong>g k is valid. In <strong>the</strong> RFD, T2S -1 =�(S/V).<br />
However, <strong>the</strong> assumption that T2B is negligible<br />
and that relaxation occurs <strong>in</strong> <strong>the</strong> RFD may be<br />
violated <strong>in</strong> unconsolidated materials where<br />
pores can be relatively large.<br />
In this study, we exam<strong>in</strong>e <strong>the</strong> effects on k<br />
estimates when <strong>in</strong>correctly assum<strong>in</strong>g (1) <strong>the</strong><br />
contribution of T2B and (2) <strong>the</strong> diffusion<br />
regime. When <strong>the</strong> contribution of T2B is not<br />
negligible, T2 -1 =T2S -1 + T2B -1 and kSDR should be<br />
modified to kSDR-BF=b� m ((T2ML -1 -T2B -1 ) -1 ) n .<br />
When pores are larger than a critical size,<br />
relaxation occurs <strong>in</strong> <strong>the</strong> slow diffusion regime<br />
(RSD) <strong>in</strong> which T2S -1 =(2/3)D(S/V) 2 , where D is<br />
<strong>the</strong> self-diffusion coefficient of <strong>the</strong> fluid, and n<br />
<strong>in</strong> kSDR should be set equal to 1.<br />
We chose to <strong>in</strong>vestigate <strong>the</strong>se effects through<br />
simulations on numerical gra<strong>in</strong> packs. Six<br />
homogeneous F<strong>in</strong>ney packs were created with<br />
gra<strong>in</strong> radii rang<strong>in</strong>g from 5.9e-5 to 3.2e-3 m<br />
(f<strong>in</strong>e sand to gravel). For each pack, <strong>the</strong> NMR<br />
response was simulated for seven � values<br />
rang<strong>in</strong>g from 1e-5 to 1e-3 m/s us<strong>in</strong>g a random<br />
walk model that implemented <strong>the</strong> First-<br />
Passage-Time technique (Toumel<strong>in</strong> et al.,<br />
2003). The walkers were constra<strong>in</strong>ed to start <strong>in</strong><br />
an <strong>in</strong>itial location with<strong>in</strong> a cubic subset <strong>in</strong> <strong>the</strong><br />
center of each pack. The simulated relaxations<br />
occurred <strong>in</strong> <strong>the</strong> <strong>in</strong>termediate and slow diffusion<br />
regimes and were <strong>in</strong>verted for T2 distributions.<br />
The T2 values of <strong>the</strong> highest order relaxation<br />
modes ranged from 0.37 to 2.9 s. The k, �, and<br />
S/V of each pack were calculated on <strong>the</strong><br />
volume of <strong>the</strong> pack likely to have been<br />
sampled by <strong>the</strong> walkers. The March<strong>in</strong>g Cubes<br />
technique was used to calculate S/V, which<br />
ranged from 6.3e4 to 2.8e3 m -1 . The Navier-<br />
Stokes based lattice-Boltzmann method was<br />
used to calculate <strong>the</strong> true k (ktrue), which ranged<br />
from 1.2e-17 to 5.2e-15 m 2 .<br />
For all packs of a given � value, we optimized<br />
<strong>the</strong> fit between kSDR and ktrue assum<strong>in</strong>g<br />
relaxation occurred <strong>in</strong> ei<strong>the</strong>r <strong>the</strong> RFD or <strong>the</strong><br />
RSD. Regardless of whe<strong>the</strong>r we assumed <strong>the</strong><br />
RFD or <strong>the</strong> RSD, <strong>the</strong> kSDR estimates showed<br />
relatively poor agreement with ktrue, differ<strong>in</strong>g<br />
by up to an order of magnitude. We <strong>the</strong>n<br />
performed <strong>the</strong> same optimization, account<strong>in</strong>g<br />
for T2B by substitut<strong>in</strong>g kSDR-BF for kSDR. We<br />
found that by assum<strong>in</strong>g <strong>the</strong> RFD, <strong>the</strong>re was little<br />
improvement <strong>in</strong> <strong>the</strong> agreement between kSDR<br />
and ktrue. However, by correctly assum<strong>in</strong>g <strong>the</strong><br />
RSD, almost all of <strong>the</strong> kSDR-BF estimates were<br />
with<strong>in</strong> a factor of 3 of ktrue. This work shows<br />
that <strong>the</strong> contribution of T2B can be significant<br />
<strong>in</strong> pores with large radii (>6e-5 m) and should<br />
be accounted for <strong>in</strong> <strong>the</strong> SDR equation <strong>in</strong> order<br />
to obta<strong>in</strong> more reliable k estimates.<br />
References<br />
Toumel<strong>in</strong>, E., Torres-Verd<strong>in</strong>, C. and Chen, S.,<br />
(2003): Model<strong>in</strong>g of multiple echo-time NMR<br />
measurements for complex pore geometries<br />
and multiphase saturations. Spe Reservoir<br />
Evaluation & Eng<strong>in</strong>eer<strong>in</strong>g, 6(4), 234-243.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
A general model for predict<strong>in</strong>g hydraulic conductivity of unconsolidated material us<strong>in</strong>g<br />
nuclear magnetic resonance 59<br />
A general model for predict<strong>in</strong>g hydraulic conductivity of unconsolidated<br />
material us<strong>in</strong>g nuclear magnetic resonance<br />
Raphael Dlugosch 1 , Thomas Gün<strong>the</strong>r, Mike Müller-Petke, and Ugur Yaramanci<br />
Leibniz Institute for Applied Geophysics (<strong>LIAG</strong>), Hannover<br />
1 Raphael.Dlugosch@liag-hannover.de<br />
The prediction of hydraulic conductivity (K)<br />
from nuclear magnetic resonance (NMR)<br />
measurements of <strong>the</strong> porosity (ϕ) and decay<br />
time (T) has been performed successfully on<br />
sandstones. However, <strong>in</strong> hydrogeological<br />
applications, unconsolidated material is more<br />
prevalent. This material generally shows less<br />
variability <strong>in</strong> porosity and tortuosity, but a<br />
larger range of pore sizes compared to<br />
sandstones. The known (semi-)empiric<br />
relations to estimate K from ϕ and T (Seevers,<br />
1966 and Kenyon et al., 1988) have been<br />
applied to unconsolidated material, but <strong>the</strong><br />
underly<strong>in</strong>g assumptions are not valid for large<br />
pores.<br />
We present a new, general model based on<br />
tube-shaped pores (after Kozeny, 1927 and<br />
Carman, 1938) that is valid for <strong>the</strong> whole range<br />
of lam<strong>in</strong>ar flow, i.e., from silt to f<strong>in</strong>e gravel.<br />
Compared to former models we additionally<br />
account for bulk water relaxation and all<br />
diffusion regimes (after Godefroy et al., 2001),<br />
and thus overcome <strong>the</strong> commonly applied fastdiffusion<br />
approximation. Both bulk-water<br />
relaxation and slow diffusion significantly<br />
affect <strong>the</strong> NMR measurements on coarse<br />
material. By account<strong>in</strong>g for <strong>the</strong> slow-diffusion<br />
case a maximum K can be derived from NMR<br />
measurements. Additionally, <strong>the</strong> model<br />
replaces <strong>the</strong> empirical factors <strong>in</strong> known<br />
relations with (petro-)physical parameters.<br />
This enables to separate effects caused by<br />
variations of <strong>the</strong> material-specific surface<br />
relaxivity (ρ) from variations of o<strong>the</strong>r, e.g.,<br />
temperature-dependent parameters. This<br />
<strong>in</strong>creases <strong>the</strong> range where, after calibration by<br />
flow experiments on similar material, K can be<br />
predicted reliably.<br />
A data set measured on glass beads with<br />
different gra<strong>in</strong> sizes is used for validation. It<br />
confirms <strong>the</strong> applicability of <strong>the</strong> new model<br />
and allows to evaluate <strong>the</strong> impact of surface<br />
relaxivity by compar<strong>in</strong>g longitud<strong>in</strong>al and<br />
transversal relaxation. As an outcome we<br />
expect <strong>the</strong> model to improve prediction of<br />
hydraulic conductivity by surface or borehole<br />
NMR measurements.<br />
References<br />
Carman, P. C. (1938). The determ<strong>in</strong>ation of <strong>the</strong><br />
specific surface of powders. Journal of <strong>the</strong> Society<br />
of Chemical Industrialists, 57:225-234.<br />
Godefroy, S., Korb, J., Fleury, M., and Bryant, R.<br />
(2001). Surface nuclear magnetic relaxation and<br />
dynamics of water and oil <strong>in</strong> macroporous media.<br />
Physical Review E, 64(2):1-13.<br />
Kenyon, W., Day, P., Straley, C., and Willemsen, J.<br />
(1988). A Three-Part Study of NMR Longitud<strong>in</strong>al<br />
Relaxation Properties of Water-Saturated<br />
Sandstones. SPE Formation Evaluation, 3(3):622-<br />
636.<br />
Kozeny, J. (1927). Über kapillare Leitung des<br />
Wassers im Boden. Sitz.Ber. d. Akad. d. Wiss.,<br />
Math.-Nat. Kl. Wien, 36:271-306.<br />
Seevers, D. (1966). A nuclear magnetic method for<br />
determ<strong>in</strong><strong>in</strong>g <strong>the</strong> permeability of sandstones. Society<br />
of Professional Well Log Analysts Transactions,<br />
Paper L:1-14.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Quantitative aquifer system characterization on Borkum island us<strong>in</strong>g jo<strong>in</strong>t <strong>in</strong>version of<br />
MRS and VES data 60<br />
Quantitative aquifer system characterization on Borkum island us<strong>in</strong>g jo<strong>in</strong>t<br />
<strong>in</strong>version of MRS and VES data<br />
Thomas Gün<strong>the</strong>r, Mike Müller-Petke & Raphael Dlugosch<br />
Leibniz Institute for Applied Geophysics (<strong>LIAG</strong>), Hannover<br />
Thomas.guen<strong>the</strong>r@liag-hannover.de<br />
On <strong>the</strong> barrier islands <strong>in</strong> <strong>the</strong> North sea fresh<br />
water lenses exist that are important for water<br />
supply. Cont<strong>in</strong>uous pump<strong>in</strong>g and climate<br />
changes are factors that affect <strong>the</strong> development<br />
of <strong>the</strong> ground water lense. For predict<strong>in</strong>g <strong>the</strong><br />
long-term behaviour, ground water modell<strong>in</strong>g<br />
needs to be done on <strong>the</strong> base of density driven<br />
flow (Sulzbacher et al., 2012). For <strong>the</strong> latter,<br />
reliable lithologic models and <strong>the</strong> distribution<br />
of <strong>the</strong> quantities porosity (�), hydraulic<br />
conductivity (K) and sal<strong>in</strong>ity must be known at<br />
<strong>the</strong> catchment scale.<br />
Geophysical measurements can help to provide<br />
three-dimensional <strong>in</strong>formation s<strong>in</strong>ce resistivity<br />
(�) is sensitive to both clay content and<br />
sal<strong>in</strong>ity. However, <strong>the</strong> <strong>in</strong>terpretation is<br />
ambiguous and <strong>the</strong>re is no l<strong>in</strong>k to hydraulic<br />
conductivity. The method Nuclear <strong>Magnetic</strong><br />
<strong>Resonance</strong> (NMR) yields water content and<br />
decay time. The latter is sensitive to pore-size<br />
and <strong>the</strong>refore allows for estimat<strong>in</strong>g hydraulic<br />
conductivity. S<strong>in</strong>ce <strong>Magnetic</strong> <strong>Resonance</strong><br />
Sound<strong>in</strong>g (MRS) needs a resistivity model, a<br />
jo<strong>in</strong>t <strong>in</strong>version with a resistivity sound<strong>in</strong>g, e.g.<br />
Vertical Electrical Sound<strong>in</strong>g (VES) is<br />
reasonable. As a result, <strong>the</strong> desired parameters<br />
can be retrieved from <strong>the</strong> <strong>in</strong>verted properties<br />
(Gün<strong>the</strong>r & Müller-Petke, 2012).<br />
We present a jo<strong>in</strong>t <strong>in</strong>version scheme based on a<br />
block <strong>in</strong>version for both apparent resistivity<br />
and <strong>the</strong> full free <strong>in</strong>duction decay data cube<br />
(Müller-Petke & Yaramanci, 2010). Coupl<strong>in</strong>g<br />
of <strong>the</strong> methods is achieved by common layer<br />
thicknesses. A Levenberg-Marquardt algorithm<br />
is used to m<strong>in</strong>imize <strong>the</strong> error-weighted misfit<br />
of <strong>the</strong> comb<strong>in</strong>ed data set <strong>in</strong> a least-quares<br />
sense. Moreover, uncerta<strong>in</strong>ty measures can be<br />
derived by a variance analysis. These<br />
uncerta<strong>in</strong>ties are <strong>the</strong>n propagated <strong>in</strong>to<br />
uncerta<strong>in</strong>ties of <strong>the</strong> target values.<br />
The method is applied to three sound<strong>in</strong>gs at <strong>the</strong><br />
North Sea island of Borkum. The first<br />
sound<strong>in</strong>g was conducted at a research borehole<br />
to verify <strong>the</strong> method by <strong>the</strong> known lithology.<br />
As expected <strong>the</strong> result clearly shows <strong>the</strong> two<br />
aquifers, <strong>the</strong> unsaturated zone and two<br />
aquitards. The second sound<strong>in</strong>g was done at a<br />
pump<strong>in</strong>g test location <strong>in</strong> order to calibrate <strong>the</strong><br />
K-T relation developed by Dlugosch et al.<br />
(2011) for <strong>the</strong> local conditions. Results show a<br />
similar lithology and parameters as <strong>the</strong> first.<br />
F<strong>in</strong>ally, a sound<strong>in</strong>g <strong>in</strong> <strong>the</strong> flood<strong>in</strong>g area<br />
demonstrates <strong>the</strong> superiority of <strong>the</strong> jo<strong>in</strong>t<br />
<strong>in</strong>version over <strong>in</strong>dividual <strong>in</strong>version. Whereas<br />
<strong>the</strong> MRS data can be expla<strong>in</strong>ed by a three-layer<br />
model, four layers are needed for VES and five<br />
layers for <strong>the</strong> comb<strong>in</strong>ed model to fit <strong>the</strong> data.<br />
The subsurface model shows two aquifers with<br />
fresher water over salt water each. The very<br />
good data quality leads to a precise prediction<br />
of <strong>the</strong> target parameters. TDS concentration is<br />
calculated us<strong>in</strong>g a modified Archie equation<br />
that is calibrated us<strong>in</strong>g Direct-Push data.<br />
The method could be fur<strong>the</strong>r extended to T1<br />
experiments that yield a less sophisticated l<strong>in</strong>k<br />
to lithology and pore-sizes. Fur<strong>the</strong>rmore, ei<strong>the</strong>r<br />
2D/3D jo<strong>in</strong>t <strong>in</strong>version or a coupl<strong>in</strong>g to airborne<br />
electromagnetic data can f<strong>in</strong>ally lead to threedimensional<br />
ground water models.<br />
References<br />
Dlugosch, R., Müller-Petke, M., Gün<strong>the</strong>r, T. &<br />
Yaramanci, U. (2011): Extended prediction of<br />
hydraulic conductivity from NMR measurements<br />
for coarse material. Ext. Abstr. 17 th EAGE Near<br />
Surface Geophysics, Leicester (UK).<br />
Gün<strong>the</strong>r, T. & Müller-Petke, M. (2012): Hydraulic<br />
properties at <strong>the</strong> North Sea island of Borkum<br />
derived from jo<strong>in</strong>t <strong>in</strong>version of magnetic<br />
resonance and electrical resistivity sound<strong>in</strong>gs,<br />
Hydrol. Earth Syst. Sci. Discuss., 9, 2797-2829,<br />
doi:10.5194/hessd-9-2797-2012.<br />
Müller-Petke, M. & Yaramanci, U. (2010): QT-<br />
Inversion <strong>–</strong> Comprehensive use of <strong>the</strong> complete<br />
surface-NMR dataset, Geophysics, 75, WA199<strong>–</strong><br />
WA209, doi:10.1190/1.3471523, 2010.<br />
Sulzbacher, H., Wiederhold, H., Siemon, B., Gr<strong>in</strong>at,<br />
M., Igel, J., Burschil, T., Gün<strong>the</strong>r, T., & H<strong>in</strong>sby,<br />
K. (2012): A modell<strong>in</strong>g study of <strong>the</strong> freshwater<br />
lens of <strong>the</strong> North Sea Island of Borkum, Hydrol.<br />
Earth Syst. Sci. Discuss., 9, 3473<strong>–</strong>3525,<br />
doi:10.5194/hessd-9-3473-2012.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Research and Practice of <strong>the</strong> Relationship between MRS Inversion Parameters and <strong>the</strong><br />
Water Yield 61<br />
Research and Practice of <strong>the</strong> Relationship between MRS Inversion<br />
Parameters and <strong>the</strong> Water Yield<br />
Yao Wang 1 ,Zhenyu Li 2 ,Qiuyu Lv 2 , Haijun Xie 2 ,Lishuang Yan 2<br />
1. The Hunan KECHUANG Power Eng<strong>in</strong>eer<strong>in</strong>g Technology Co., Ltd. ChangSha. PRC<br />
2. Ch<strong>in</strong>a University of Geosciences,<br />
wangyao2772@gmail.com<br />
Groundwater eng<strong>in</strong>eer<strong>in</strong>g has approximately<br />
150 years of experience. By contrast, <strong>the</strong><br />
geophysical MRS technique is commercially<br />
available only for last approximately 20 years.<br />
The method of traditional geophysical f<strong>in</strong>d<br />
water <strong>in</strong> <strong>the</strong> aquifer storage and flow property<br />
evaluation is not enough, hydrogeological<br />
methods commonly used method like drill<strong>in</strong>g<br />
wells and pump<strong>in</strong>g tests, are expensive and<br />
time-consum<strong>in</strong>g.MRS method as <strong>the</strong> only<br />
direct detection method for groundwater has an<br />
advantage compared to traditional geophysical<br />
techniques and hydrogeological methods. But<br />
very few people research how to study <strong>the</strong><br />
water yield by MRS <strong>in</strong>version parameters, this<br />
article is about <strong>the</strong> research and practice of <strong>the</strong><br />
relationship between MRS <strong>in</strong>version<br />
parameters and <strong>the</strong> water yield.<br />
Accord<strong>in</strong>g to <strong>the</strong> MRS practice and borehole<br />
data <strong>in</strong> Guangdong, Anhui, Q<strong>in</strong>ghai of <strong>the</strong><br />
University of Geosciences (Wuhan) <strong>in</strong> recent<br />
years , to establish contact through <strong>the</strong> MRS<br />
parameters and transmissivity, while after<br />
establish contact between <strong>the</strong> transmissivity<br />
and <strong>the</strong> water yield. This article calculated <strong>the</strong><br />
CT values of <strong>the</strong> unconsolidated sediment<br />
aquifers and bedrock aquifers accord<strong>in</strong>g to<br />
Guangdong and Anhui data, and obta<strong>in</strong>ed <strong>the</strong><br />
empirical formula of <strong>the</strong> transmissivity T and<br />
specific capacity q.<br />
Accord<strong>in</strong>g to <strong>the</strong> application data of MRS<br />
method to f<strong>in</strong>d water <strong>in</strong> <strong>the</strong> Q<strong>in</strong>ghai region,<br />
this article analyzes <strong>the</strong> MRS method for <strong>the</strong><br />
detection of <strong>the</strong> Quaternary unconsolidated<br />
sediment aquifers and bedrock aquifers depth<br />
and aquifer thickness, f<strong>in</strong>ds that <strong>the</strong> greater <strong>the</strong><br />
depth of <strong>the</strong> aquifer and <strong>the</strong> smaller <strong>the</strong><br />
thickness, <strong>the</strong> larger <strong>the</strong> po<strong>in</strong>t of measurement<br />
error. The results show that <strong>the</strong> MRS method<br />
detection is accurate.<br />
The article compares <strong>the</strong> transmissivity TMRS,<br />
<strong>the</strong> specific capacity qMRS, <strong>the</strong> water yield<br />
QMRS of MRS with <strong>the</strong> pump<strong>in</strong>g tests<br />
(Tpt,qpt,Qpt).The relative errors are with<strong>in</strong> an<br />
acceptable range, <strong>the</strong> MRS detection results of<br />
<strong>the</strong> calculation method is more accurate. We<br />
found that <strong>the</strong> greater <strong>the</strong> depth of <strong>the</strong> aquifer,<br />
<strong>the</strong> larger of <strong>the</strong> error. And this relates to <strong>the</strong><br />
<strong>in</strong>crease with depth of MRS method, <strong>the</strong> lower<br />
<strong>the</strong> resolution.<br />
References<br />
M.Mejías,J.Plata. General concepts <strong>in</strong><br />
Hydrogeology and Geophysics related to MRS.<br />
Boletín Geológico y M<strong>in</strong>ero,2007,118,423-440<br />
J.M.Vouillamoz,J.M.Baltassat,J.F.Girard.Hydrogeo<br />
logical experience <strong>in</strong> <strong>the</strong> use of MRS.Boletín<br />
Geológico y M<strong>in</strong>ero,2007,118,531-550<br />
M.W.Lubczynski,J.Roy. Use of MRS for<br />
hydrogeological system parameterization and<br />
model<strong>in</strong>g. Boletín Geológico y<br />
M<strong>in</strong>ero,2007,118,509-530<br />
The use of MRS <strong>in</strong> <strong>the</strong> determ<strong>in</strong>ation of hydraulic<br />
transmissivity:The case of alluvial<br />
aquifers.JuanL.Plata ,F¨|lixM.Rubi. Journal of<br />
Applied Geophysics 66(2008)128<strong>–</strong>139.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Case studies<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012<br />
62
Exploit<strong>in</strong>g <strong>the</strong> phase <strong>in</strong>formation: examples from <strong>the</strong> Ne<strong>the</strong>rlands 63<br />
Exploit<strong>in</strong>g <strong>the</strong> phase <strong>in</strong>formation: examples from <strong>the</strong> Ne<strong>the</strong>rlands<br />
Jean Roy * and Maciek Lubczynski &<br />
(*) IGP, Outremont, QC, Canada; (&) ITC, Enschede, The Ne<strong>the</strong>rlands<br />
(*) jeanroy_igp@videotron.ca; (&) Lubczynski@itc.nl<br />
As early as <strong>the</strong> first MRS Workshop <strong>in</strong> Berl<strong>in</strong>,<br />
<strong>in</strong> 1999, observations were made on aquifers<br />
missed by MRS. Exclud<strong>in</strong>g magnetic rocks,<br />
typically three conditions were simultaneously<br />
met for such missed aquifers: (1) <strong>the</strong> data<br />
<strong>in</strong>version was us<strong>in</strong>g only <strong>the</strong> signal amplitude,<br />
(2) <strong>the</strong> missed aquifer was below a shallower<br />
aquifer but still with<strong>in</strong> <strong>the</strong> nom<strong>in</strong>al detection<br />
range of <strong>the</strong> MRS <strong>in</strong>strument, and (3) <strong>the</strong><br />
missed aquifer was with<strong>in</strong> or below a less<br />
resistive layer than <strong>the</strong> shallower aquifer.<br />
Under such conditions, <strong>the</strong> NMR signal<br />
produced by <strong>the</strong> 2 nd deeper aquifer may have<br />
such a phase rotation that <strong>the</strong> amplitude of <strong>the</strong><br />
resultant field has <strong>the</strong> same shape on <strong>the</strong> MRS<br />
sound<strong>in</strong>g as <strong>the</strong> shape of a s<strong>in</strong>gle aquifer<br />
amplitude response. In <strong>the</strong> Ne<strong>the</strong>rlands, <strong>the</strong> 3rd<br />
condition corresponds to <strong>the</strong> presence of a<br />
clay-rich aquitard between <strong>the</strong> top and <strong>the</strong><br />
deeper aquifer. In one of <strong>the</strong> presented cases,<br />
this is also supplemented by a deeper aquifer<br />
with higher sal<strong>in</strong>ity.<br />
In Central-Nor<strong>the</strong>rn Europe, so also <strong>in</strong> <strong>the</strong><br />
Ne<strong>the</strong>rlands, <strong>the</strong> typical post-glacial<br />
hydrostratigraphic system is composed of<br />
unconsolidated deposits form<strong>in</strong>g <strong>in</strong>terchang<strong>in</strong>g<br />
layers’ systems of permeable aquifers and<br />
clay-rich aquitards. Such systems are also<br />
typical <strong>in</strong> The Ne<strong>the</strong>rlands where this study<br />
was carried out. In <strong>the</strong> multi-layered aquifer<br />
systems, often 2 nd or even 3 rd aquifers are<br />
productive. If less porous or hydraulically<br />
conductive <strong>the</strong>y still may constitute a valuable<br />
groundwater reserve less vulnerable to surface<br />
contam<strong>in</strong>ation. Besides, even if affected by<br />
sal<strong>in</strong>ity reject<strong>in</strong>g <strong>the</strong>ir use for exploitation,<br />
<strong>the</strong>ir characterization (parameterization and<br />
sal<strong>in</strong>ity distribution) would still be useful to<br />
characterize <strong>the</strong> system vulnerability to <strong>the</strong><br />
sal<strong>in</strong>ity expansion under groundwater<br />
abstraction of <strong>the</strong> overly<strong>in</strong>g aquifers.<br />
The deep aquifers overla<strong>in</strong> by conductive<br />
aquitards were <strong>in</strong> <strong>the</strong> past detected ei<strong>the</strong>r by:<br />
(1) a complex kernel scheme (Braun and<br />
Yaramanci, 2003) or (2) by hav<strong>in</strong>g selective<br />
phase components extraction prior to <strong>the</strong><br />
amplitude-only <strong>in</strong>version (Roy and<br />
Lubczynski, 2003). These two solutions had<br />
disadvantages for <strong>the</strong> MRS end-user: solution<br />
(1) was for <strong>in</strong>-house use only while solution<br />
(2) required preprocess<strong>in</strong>g <strong>the</strong> data set prior to<br />
its <strong>in</strong>version. This last solution was done <strong>in</strong><br />
several steps. First up-front model<strong>in</strong>g of <strong>the</strong><br />
resistivity depth profile was done to select <strong>the</strong><br />
appropriate phase components. Next <strong>the</strong><br />
selected phase components were extracted<br />
from <strong>the</strong> field data and two data sets were thus<br />
generated: <strong>the</strong> upper target and deeper target<br />
data sets. These data sets were <strong>the</strong>n processed<br />
<strong>in</strong> a normal way with amplitude-only MRS<br />
data <strong>in</strong>version tools of <strong>the</strong> time (i.e. <strong>in</strong> <strong>the</strong> late<br />
1990s).<br />
Recently an off-<strong>the</strong>-shelf MRS data <strong>in</strong>version<br />
tool - Samovar_11 (Legchenko, 2011) <strong>–</strong><br />
became available to MRS end-users. This tool<br />
has an option to use phase at <strong>the</strong> <strong>in</strong>version step.<br />
The advantages of us<strong>in</strong>g such strategy <strong>in</strong> terms<br />
of simplicity, layer discrim<strong>in</strong>ation and<br />
characterization will be illustrated through <strong>the</strong><br />
reprocess<strong>in</strong>g of <strong>the</strong> MRS surveys of <strong>the</strong> multilayered<br />
systems <strong>in</strong> <strong>the</strong> Ne<strong>the</strong>rlands earlier<br />
presented by Roy and Lubczynski (2003).<br />
References<br />
Braun, M. and Yaramanci, U., 2003, Inversions of<br />
surface-NMR signals us<strong>in</strong>g complex<br />
kernels; 9 th EEGS-ES Meet<strong>in</strong>g, Prague,<br />
Aug 31 st -Sept 4, Paper O-049.<br />
Legchenko, A., 2011, Samovar Software 11x3<br />
User's Guide, IRD, France.<br />
Roy, J. and Lubczynski, M., 2003, The case of an<br />
MRS-elusive second aquifer; Proceed<strong>in</strong>gs<br />
2 nd <strong>in</strong>ternational MRS workshop, 19-21<br />
Nov. 2003, Orléans, France, p. 105-108.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
MRS and electrical prospection <strong>in</strong> <strong>the</strong> context of wea<strong>the</strong>red peridotite rocks <strong>in</strong> <strong>the</strong> South of<br />
New Caledonia. 64<br />
MRS and electrical prospection <strong>in</strong> <strong>the</strong> context of wea<strong>the</strong>red peridotite rocks<br />
<strong>in</strong> <strong>the</strong> South of New Caledonia.<br />
Girard 1* J-F., J-M. Baltassat 1 , A. Legchenko 2* A., S. Morlighem 3 , I. Domergue- Schmidt 3 , P.<br />
Maurizot 4 , J-L. Folio 3 and B. François 1<br />
1 BRGM, Orléans, France; 2 IRD / LTHE, Grenoble, France; 3 VALE, New Calédonia. 4 BRGM, Nouméa, New<br />
Caledonia;<br />
jf.girard@brgm.fr<br />
In November 2011 and July 2012 were<br />
conducted geophysical prospections <strong>in</strong> <strong>the</strong><br />
sou<strong>the</strong>rn part of New Caledonia. Both<br />
electrical tomography (ERT) and <strong>Magnetic</strong><br />
<strong>Resonance</strong> Sound<strong>in</strong>g (MRS) were performed<br />
to obta<strong>in</strong> a better understand<strong>in</strong>g of <strong>the</strong> water<br />
storage and circulation. The geological context<br />
is <strong>the</strong> wea<strong>the</strong>r<strong>in</strong>g profile of peridotite rock<br />
(Maurizot and Vendé-Leclerc, 2009).<br />
In such environment, <strong>the</strong> general distribution<br />
of geology is (from surface to depth), <strong>the</strong> iron<br />
cap, laterite (red and yellow), saprolite,<br />
fractured and <strong>the</strong>n fresh bedrock. The lateritic<br />
profile is developed over a thickness rang<strong>in</strong>g<br />
from 20m to 60 m.<br />
Electrical imagery is a well-established method<br />
to detect variations <strong>in</strong> depth and laterally <strong>in</strong><br />
this geological context (Rob<strong>in</strong>eau et al., 2007)<br />
and is rout<strong>in</strong>ely used <strong>in</strong> m<strong>in</strong><strong>in</strong>g exploration and<br />
exploitation to estimate <strong>the</strong> thickness of<br />
laterite.<br />
Hydrogeology <strong>in</strong> this environment is complex<br />
because water flows <strong>in</strong> heterogeneous media:<br />
<strong>in</strong>filtration trough <strong>the</strong> iron cap, unsaturated<br />
zone, fractured bedrock. As a consequence,<br />
various regimes of hydrological responses are<br />
observed, from low permeability (laterite) to<br />
high permeable zones (fractured zone and<br />
locally “pseudo-karst” behavior).<br />
MRS as a tool to detect directly water and<br />
provide <strong>in</strong>sight of higher permeable zone<br />
sounds attractive <strong>in</strong> such a context. The sites<br />
studied are well documented thanks to preexist<strong>in</strong>g<br />
boreholes logs and hydrogeological<br />
studies.<br />
Difficulty to perform MRS <strong>the</strong>re is l<strong>in</strong>k to two<br />
major reasons. First, <strong>the</strong> rocks present nonnegligible<br />
magnetic susceptibility. Despite<br />
surface measurement of <strong>the</strong> geomagnetic field<br />
revealed to be relatively homogeneous at <strong>the</strong><br />
loop scale (< 100 nT variation), standard Free<br />
Induction Decay (FID) MRS measurement<br />
appeared to be un-practicable (like observed by<br />
Roy et al., 2008). The average magnetic<br />
susceptibility is 5 10 -4 SI and it proved to be<br />
suitable to perform MRS measurement <strong>in</strong> Sp<strong>in</strong><br />
Echo (SE) mode (Roy et al, 2009, Legchenko<br />
et al., 2010, Vouillamoz et al., 2011).<br />
The second difficulty is l<strong>in</strong>k with <strong>the</strong> very f<strong>in</strong>e<br />
structure of laterite, where a large part of water<br />
is not detectable by MRS like bound water <strong>in</strong><br />
clay. But <strong>the</strong> high yield zones revealed to<br />
produce a clear MRS signal <strong>in</strong> SE mode.<br />
We present a review of <strong>the</strong> various ERT and<br />
MRS responses observed <strong>in</strong> this context.<br />
References<br />
Legchenko, A., J.M. Vouillamoz, J. Roy (2010):<br />
Application of <strong>the</strong> magnetic resonance sound<strong>in</strong>g<br />
method to <strong>the</strong> <strong>in</strong>vestigation of aquifers <strong>in</strong> <strong>the</strong><br />
presence of magnetic materials. Geophysics 75:<br />
L91<strong>–</strong>L100.<br />
Maurizot P., Vendé-Leclerc M., 2009, Geological<br />
map of New Caledonia at 1/500 000, 1 st edition, ,<br />
DIMENC, BRGM.<br />
Rob<strong>in</strong>eau B., Jo<strong>in</strong> J.L., Beauvais A., Parisot J-C.,<br />
Sav<strong>in</strong> C., Geoelectrical imag<strong>in</strong>g of a thick<br />
regolith developed on ultramafic rocks :<br />
groundwater <strong>in</strong>fluence. Australian Journal of<br />
Earth Sciences, 54 (773-781), 2007.<br />
Roy, J., A. Rouleau, M. Chouteau, M. Bureau<br />
(2008): Widespread occurrence of aquifers<br />
currently undetectable with <strong>the</strong> MRS technique<br />
<strong>in</strong> <strong>the</strong> Grenville geological prov<strong>in</strong>ce, Canada:<br />
Journal of Applied Geophysics, 66, 82-93.<br />
Roy J., Legchenko A., Menier J., Chouteau M.,<br />
Bureau M. and Rouleau A. 2009. MRS <strong>in</strong> sp<strong>in</strong>eco<br />
mode <strong>–</strong> 2008 tests <strong>in</strong> <strong>the</strong> Greenville.<br />
MRS2009 Workshop, Grenoble, France,<br />
Expanded Abstracts, 201<strong>–</strong>206.<br />
Vouillamoz J-M., A. Legchenko A., Nandagiri,<br />
Characteriz<strong>in</strong>g aquifers when us<strong>in</strong>g magnetic<br />
resonance sound<strong>in</strong>g <strong>in</strong> a heterogeneous<br />
geomagnetic field, Near Surface Geophysics,<br />
2011, 9, 135-144.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
MRS and borehole correlation <strong>in</strong> Denmark 65<br />
MRS and borehole correlation <strong>in</strong> Denmark<br />
Mette Ryom Nielsen 1 , Tom Feldberg Hagensen 2 , Anatoly Legchenko 3 and Konstant<strong>in</strong>os<br />
Chalikakis 4<br />
1) Rambøll A/S, Aarhus, Denmark, 2) Danish M<strong>in</strong>istry of <strong>the</strong> Environment, 3) IRD / LTHE, Grenoble, France,<br />
4) UMR 1114 EMMAH (UAPV-INRA), Avignon, France<br />
1) mrn@ramboll.dk, 2) tofha@nst.dk, 3) anatoly.legtchenko@ujf-grenoble.fr, 4) konstant<strong>in</strong>os.chalikakis@univavignon.fr<br />
S<strong>in</strong>ce 2005 succesfull efforts have been made<br />
to implement MRS <strong>in</strong> <strong>the</strong> portfolio of<br />
hydrogeophysical services applied <strong>in</strong> Danish<br />
surveys (Chalikakis et el., 2008, Chalikakis et<br />
al., 2009, Ryom Nielsen et al., 2011). Each<br />
survey is carefully planned accord<strong>in</strong>g to <strong>the</strong><br />
specific purpose and <strong>the</strong> optimal comb<strong>in</strong>ation<br />
of methods from <strong>the</strong> portfolio is determ<strong>in</strong>ed.<br />
Between 2005 and 2012 approximately 200<br />
MRS sound<strong>in</strong>gs have been performed <strong>in</strong> <strong>the</strong><br />
framework of more than 30 different surveys<br />
<strong>in</strong> Denmark each aim<strong>in</strong>g a specific purpose<br />
and agenda. Many of <strong>the</strong> surveys are<br />
performed as a part of <strong>the</strong> national Danish<br />
groundwater mapp<strong>in</strong>g.<br />
In <strong>the</strong> Danish groundwater mapp<strong>in</strong>g large scale<br />
hydrogeophysical mapp<strong>in</strong>gs are typically<br />
performed <strong>in</strong>itially with ei<strong>the</strong>r SkyTEM or<br />
CVES. Hereby locations of possible aquifer<br />
systems are discrim<strong>in</strong>ated and borehole<br />
locations are suggested based on this. To help<br />
prioritise <strong>the</strong> most optimal of <strong>the</strong>se borehole<br />
locations MRS are performed before drill<strong>in</strong>g.<br />
Subsequently drill<strong>in</strong>gs are performed at <strong>the</strong><br />
optimal locations <strong>in</strong>dicated by <strong>the</strong> MRS<br />
results. Additional drill<strong>in</strong>gs have been<br />
performed at o<strong>the</strong>r MRS locations <strong>in</strong> order to<br />
verify <strong>the</strong> results of <strong>the</strong> method.<br />
Besides <strong>the</strong>se new boreholes <strong>the</strong> national<br />
Danish borehole database conta<strong>in</strong>s more than<br />
240,000 borehole logs correspond<strong>in</strong>g to an<br />
average of approximately 5.5 boreholes per<br />
km 2 . Hence exist<strong>in</strong>g boreholes can often be<br />
found <strong>in</strong> proximity and used for correlation<br />
purposes.<br />
All <strong>the</strong> available MRS measurements<br />
performed <strong>in</strong> Denmark s<strong>in</strong>ce 2005 until today<br />
and exist<strong>in</strong>g borehole <strong>in</strong>formation compose a<br />
relatively large dataset of approximately 125<br />
borehole and MRS pairs available for<br />
correlation.<br />
The correlation between MRS and boreholes<br />
are performed with attention to both <strong>the</strong><br />
measured MRS amplitude, <strong>the</strong> <strong>in</strong>terpreted<br />
MRS parameters; water content and hydraulic<br />
conductivity, <strong>the</strong> borehole log description and<br />
<strong>the</strong> electrical resistivity <strong>in</strong>terpreted from<br />
TDEM sound<strong>in</strong>gs at <strong>the</strong> MRS location.<br />
In most cases very good correlation is<br />
observed between MRS results and borehole<br />
descriptions. These examples will be presented<br />
along with example of more complicated<br />
correlations.<br />
Examples of correlation between MRS and<br />
boreholes are given for different geological<br />
environments rang<strong>in</strong>g between Glacial<br />
Quaternary melt water sediments, Tertiary<br />
sandy formations and <strong>in</strong> Cretaceous and<br />
Palaeocene limestone.<br />
The borehole and MRS correlations are<br />
summed up <strong>in</strong> different cross plots of <strong>the</strong> MRS<br />
parameters and <strong>the</strong> lithological description of<br />
<strong>the</strong> aquifer from <strong>the</strong> borehole log. Clear<br />
variations of <strong>the</strong> <strong>in</strong>terpreted hydraulic MRS<br />
parameters are observed. These variations<br />
correlate overall well with <strong>the</strong> expectations of<br />
<strong>the</strong> hydraulic variations based on <strong>the</strong> aquifer<br />
characteristics.<br />
References<br />
Chalikakis, K., Nielsen, M. R., Legchenko, A.<br />
(2008): MRS applicability for a study of glacial<br />
sedimentary aquifers <strong>in</strong> Central Jutland,<br />
Denmark, Journal of Applied Geophysics 66,<br />
176-187.<br />
Chalikakis, K., Nielsen, M. R., Legchenko, A.,<br />
Hagensen, T. F. (2009): Investigation of<br />
Sedimentary aquifers <strong>in</strong> Denmark us<strong>in</strong>g <strong>the</strong><br />
magnetic resonance sound<strong>in</strong>g method (MRS), C.<br />
R. Geoscience 341, 918<strong>–</strong>927.<br />
Ryom Nielsen M., Hagensen T. F., Chalikakis K.,<br />
and Legchenko A. (2011): Comparison of<br />
transmissivities from MRS and pump<strong>in</strong>g tests <strong>in</strong><br />
Denmark, Near Surface Geophysics, vol. 9, no.<br />
2, 211-223.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Implementation of MRS <strong>in</strong> <strong>the</strong> Danish National Groundwater management 66<br />
Implementation of MRS <strong>in</strong> <strong>the</strong> Danish National Groundwater management<br />
Tom Feldberg Hagensen 1 , Mette Ryom Nielsen 2 , Anatoly Legchenko 3 and Konstant<strong>in</strong>os<br />
Chalikakis 4<br />
1) Danish M<strong>in</strong>istry of <strong>the</strong> Environment, 2) Rambøll A/S, Aarhus, Denmark, 3) IRD / LTHE, Grenoble, France,<br />
4) UMR 1114 EMMAH (UAPV-INRA), Avignon, France<br />
1) tofha@nst.dk, 2) mrn@ramboll.dk, 3) anatoly.legtchenko@ujf-grenoble.fr, 4) konstant<strong>in</strong>os.chalikakis@univavignon.fr<br />
In Denmark <strong>the</strong> watersupply is based on high<br />
quality ground water where complex and<br />
expensive purification is not needed. However<br />
<strong>in</strong>creas<strong>in</strong>g threats to <strong>the</strong> groundwater ressource<br />
from urban and agricultural sources forced a<br />
national protection plan <strong>in</strong> 1998. 40% of<br />
Denmark is designated as particularly valuable<br />
water-abstraction areas <strong>in</strong> which <strong>in</strong>tensive<br />
hydrogeological mapp<strong>in</strong>g is performed,<br />
(Thomsen et al, 2004). The National Danish<br />
groundwater mapp<strong>in</strong>g is performed by <strong>the</strong><br />
M<strong>in</strong>istry of <strong>the</strong> Environment (NST) as a part of<br />
<strong>the</strong> Act of Environmental Goals.<br />
The hydrogeological mapp<strong>in</strong>g has an estimated<br />
cost of €20 mil. per year and it is f<strong>in</strong>anced by a<br />
surcharge of €0.05 per m 3 on dr<strong>in</strong>k<strong>in</strong>g water<br />
paid by <strong>the</strong> consumer.<br />
NST encourage development of methods <strong>in</strong><br />
cooperation with universities and consultancies<br />
<strong>in</strong> order to improve quality, speed and cost<br />
efficiency of <strong>the</strong> mapp<strong>in</strong>g procedures.<br />
MRS was considered <strong>in</strong> 2005 and subsequently<br />
used <strong>in</strong> <strong>the</strong> groundwater mapp<strong>in</strong>g for <strong>the</strong> first<br />
time (Chalikakis et al. 2008). Data and results<br />
carefully acquired from 2006 proved MRS to<br />
be efficient under Danish conditions (Chalikakis<br />
et al. 2009; Ryom Nielsen et al. 2011).<br />
By 2009 MRS campaigns were improved <strong>in</strong><br />
frequency and <strong>the</strong> amount of data <strong>in</strong>creased,<br />
hence official implementation of MRS <strong>in</strong> <strong>the</strong><br />
national groundwater mapp<strong>in</strong>g was required.<br />
Co-operation agreement between NST,<br />
consultancies and universities was established.<br />
The objective was implementation of MRS <strong>in</strong><br />
<strong>the</strong> national groundwater mapp<strong>in</strong>g comparable<br />
to implementation of o<strong>the</strong>r geophysical<br />
methods. This requires open m<strong>in</strong>ded cooperation<br />
between experienced hands-on field<br />
work, developers of hardware, acquisition<br />
software, data <strong>in</strong>terpretation software and<br />
database developers.<br />
The implementation process will be presented<br />
and <strong>the</strong> task <strong>in</strong>cluded:<br />
� Tests on different geology <strong>in</strong> Denmark,<br />
verified with boreholes and pump<strong>in</strong>g tests.<br />
� Expansion of <strong>the</strong> national geophysical<br />
database for both field data and <strong>in</strong>version.<br />
� Requirements specifikation and national<br />
guide for data acquisition and <strong>in</strong>terpretation.<br />
� Course for project leaders <strong>in</strong> groundwater<br />
mapp<strong>in</strong>g.<br />
� MRS <strong>the</strong>me days for shar<strong>in</strong>g experiences.<br />
� Establishment of a national test site for MRS<br />
In 2010 MRS has been <strong>in</strong>cluded <strong>in</strong> <strong>the</strong> EU<br />
Framework agreement used for contracts with<br />
consultant eng<strong>in</strong>eer<strong>in</strong>g firms <strong>in</strong> <strong>the</strong> national<br />
groundwater mapp<strong>in</strong>g.<br />
Until june 2012 more than 30 projects <strong>in</strong> <strong>the</strong><br />
national groundwater mapp<strong>in</strong>g have <strong>in</strong>cluded<br />
MRS. From s<strong>in</strong>gle site measurements with<br />
focus on well site location to <strong>in</strong>put <strong>in</strong>to 3D<br />
geological models and groundwater modell<strong>in</strong>g.<br />
References<br />
Thomsen, R., Søndergaard, V. H., Sørensen, K. I.<br />
(2004): Hydrogeological mapp<strong>in</strong>g as a basis for<br />
establish<strong>in</strong>g site-specific groundwater protection<br />
zones <strong>in</strong> Denmark. Hydrogeology Journal, 12, p<br />
550-562.<br />
Chalikakis, K., Nielsen, M. R., Legchenko, A.<br />
(2008): MRS applicability for a study of glacial<br />
sedimentary aquifers <strong>in</strong> Central Jutland,<br />
Denmark, Journal of Applied Geophysics 66,<br />
176-187.<br />
Chalikakis, K., Nielsen, M. R., Legchenko, A.,<br />
Hagensen, T. F. (2009): Investigation of<br />
Sedimentary aquifers <strong>in</strong> Denmark us<strong>in</strong>g <strong>the</strong><br />
magnetic resonance sound<strong>in</strong>g method (MRS), C.<br />
R. Geoscience 341, 918<strong>–</strong>927.<br />
Ryom Nielsen M., Hagensen T. F., Chalikakis K.,<br />
and Legchenko A. (2011): Comparison of<br />
transmissivities from MRS and pump<strong>in</strong>g tests <strong>in</strong><br />
Denmark, Near Surface Geophysics, vol. 9, no.<br />
2, 211-223.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Feasibility study of <strong>the</strong> MRS monitor<strong>in</strong>g <strong>in</strong> a 3D hydrogeological structure: aquifer<br />
recharge from a pond <strong>in</strong> <strong>the</strong> Sahel (Niger) 67<br />
Feasibility study of <strong>the</strong> MRS monitor<strong>in</strong>g <strong>in</strong> a 3D hydrogeological structure:<br />
aquifer recharge from a pond <strong>in</strong> <strong>the</strong> Sahel (Niger)<br />
M. Boucher 1* , G. Favreau 2 , A. Legchenko 1<br />
1 IRD / LTHE, Grenoble, France; 2 IRD / HSM, Montpellier, France. Marie.Boucher@ird.fr<br />
Currently, MRS method is often used for<br />
characteriz<strong>in</strong>g spatial distribution of<br />
hydrodynamic parameters, but rarely for<br />
monitor<strong>in</strong>g temporal changes <strong>in</strong> groundwater<br />
content (e.g. Descloitres et al. 2008). This<br />
issue is particularly challeng<strong>in</strong>g <strong>in</strong> 3D context<br />
of rapid changes <strong>in</strong> aquifer storage.<br />
In <strong>the</strong> Sahel, groundwater recharge is mostly<br />
an <strong>in</strong>direct process and ma<strong>in</strong>ly occurs through<br />
temporary ponds. An estimate of seasonal<br />
changes <strong>in</strong> water storage <strong>in</strong> <strong>the</strong> vic<strong>in</strong>ity of<br />
ponds is thus important for quantify<strong>in</strong>g<br />
groundwater recharge. The aim of this study is<br />
to assess <strong>the</strong> ability of <strong>the</strong> MRS method to<br />
better quantify <strong>the</strong> temporal variations of<br />
groundwater storage near temporary pond <strong>in</strong><br />
sedimentary porous aquifers.<br />
In SW Niger, <strong>the</strong> Wankama catchment (2 km 2 ,<br />
60 km east of Niamey, Niger’s capital) was<br />
selected for field implementation. This site has<br />
got <strong>the</strong> benefit from a long-term hydrological<br />
monitor<strong>in</strong>g (Cappelaere et al. 2009) <strong>in</strong>clud<strong>in</strong>g<br />
ra<strong>in</strong>fall measurements, pond water level<br />
records and 4 piezometric surveys positioned<br />
perpendicularly to <strong>the</strong> pond axis. In this area,<br />
<strong>the</strong> aquifer is unconf<strong>in</strong>ed and composed of<br />
sandstone. The pond is rapidly filled up by ra<strong>in</strong><br />
events dur<strong>in</strong>g <strong>the</strong> monsoon (June to October),<br />
<strong>the</strong>n water <strong>in</strong>filtrates under <strong>the</strong> pond and<br />
contributes to <strong>the</strong> aquifer recharge. The<br />
piezometric gradient is close to 0.1‰ dur<strong>in</strong>g<br />
<strong>the</strong> late dry season (May) and forms a dome of<br />
<strong>in</strong>creas<strong>in</strong>g amplitude dur<strong>in</strong>g <strong>the</strong> ra<strong>in</strong> season to<br />
reach its maximum <strong>in</strong> September.<br />
NumisPlus© equipment was used with edgeto-edge<br />
or overlapp<strong>in</strong>g eight-shape co<strong>in</strong>cident<br />
loops with 2 squares of 50 meters side each.<br />
The spatial distribution of water content was<br />
mapped with 21 sound<strong>in</strong>gs performed dur<strong>in</strong>g<br />
<strong>the</strong> dry season when <strong>the</strong> pond was dry<strong>in</strong>g up<br />
and piezometric levels were almost horizontal.<br />
Data were <strong>in</strong>verted <strong>in</strong> 3D with Samovar<br />
software (Legchenko et al. 2011).<br />
The <strong>in</strong>fluence of water table fluctuations on <strong>the</strong><br />
MRS signal was modeled tak<strong>in</strong>g <strong>in</strong>to account<br />
<strong>the</strong> heterogeneity of <strong>the</strong> porosity evidenced by<br />
<strong>the</strong> MRS mapp<strong>in</strong>g. The groundwater level<br />
showed rise up to ~5.7 m at <strong>the</strong> edge of <strong>the</strong><br />
pond dur<strong>in</strong>g <strong>the</strong> wet season. Accord<strong>in</strong>g to<br />
numerical model<strong>in</strong>g, temporal changes <strong>in</strong> <strong>the</strong><br />
MRS signal are expected to be greater than <strong>the</strong><br />
measurement uncerta<strong>in</strong>ty that is particularly<br />
high dur<strong>in</strong>g <strong>the</strong> monsoon due to frequent<br />
thunder storm events. Model<strong>in</strong>g results were<br />
confirmed by MRS monitor<strong>in</strong>g carried out<br />
between 2008 and 2010: sound<strong>in</strong>gs on two<br />
loop positions were repeated 6 and 7 times <strong>in</strong><br />
contrasted hydrologic conditions. Significant<br />
variations of MRS signal were only observed<br />
at <strong>the</strong> position <strong>the</strong> closest to <strong>the</strong> pond and for<br />
extreme hydrologic event (four days after an<br />
exceptional ra<strong>in</strong>fall event of ~100 mm).<br />
However <strong>the</strong> 3D model<strong>in</strong>g showed that <strong>the</strong><br />
variation of piezometric level could not<br />
completely expla<strong>in</strong> variations <strong>in</strong> <strong>the</strong> MRS<br />
signal. In particular, <strong>the</strong> variation of <strong>the</strong> water<br />
level <strong>in</strong> <strong>the</strong> pond was shown to br<strong>in</strong>g a<br />
significant <strong>in</strong>fluence on <strong>the</strong> MRS signal<br />
(~20 nV).<br />
MRS quantification of temporal natural<br />
changes of <strong>the</strong> groundwater storage <strong>in</strong> <strong>the</strong><br />
aquifer formation was shown possible only for<br />
significant variations of <strong>the</strong> water volume. The<br />
quantification of m<strong>in</strong>or variations is limited by<br />
<strong>the</strong> sensitivity of <strong>the</strong> MRS measurements.<br />
References<br />
Cappelaere B., Descroix L., Lebel T. et al. 2009.<br />
The AMMA-Catch experiment <strong>in</strong> <strong>the</strong> cultivated<br />
Sahelian area of south-west Niger - Investigat<strong>in</strong>g<br />
water cycle response to a fluctuat<strong>in</strong>g climate and<br />
chang<strong>in</strong>g environment. Journal of Hydrology<br />
375 (1-2): 34-51.<br />
Descloitres M., Ruiz L., Sekhar M. et al. 2008.<br />
Characterization of seasonal local recharge us<strong>in</strong>g<br />
Electrical Resistivity Tomography and <strong>Magnetic</strong><br />
<strong>Resonance</strong> Sound<strong>in</strong>g. Hydrological Processes<br />
22: 384-394.<br />
Legchenko A., Descloitres M., V<strong>in</strong>cent C. et al.<br />
2011. Three-dimensional magnetic resonance<br />
imag<strong>in</strong>g for groundwater. New Journal of<br />
Physics 13: 025022. doi:10.1088/1367-<br />
2630/13/2/025022.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Research on Gush<strong>in</strong>g Disaster Detection <strong>in</strong> Tunnel with <strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g 68<br />
Research on Gush<strong>in</strong>g Disaster Detection <strong>in</strong> Tunnel with <strong>Magnetic</strong><br />
<strong>Resonance</strong> Sound<strong>in</strong>g<br />
Q<strong>in</strong> Shengwu1,2, L<strong>in</strong> Jun1,Jiang Chuandong1, Wang Y<strong>in</strong>gji1<br />
1.College of Instrument Science & Electrical Eng<strong>in</strong>eer<strong>in</strong>g, Jil<strong>in</strong> University, Changchun 130026, Ch<strong>in</strong>a<br />
2.College of Construction Eng<strong>in</strong>eer<strong>in</strong>g, Jil<strong>in</strong> University, Changchun 130026, Ch<strong>in</strong>a<br />
q<strong>in</strong>sw@jlu.edu.cn<br />
Gush<strong>in</strong>g disaster often happen dur<strong>in</strong>g tunnel<br />
construction, and normal water detection<br />
methods are almost <strong>in</strong>direct methods. <strong>Magnetic</strong><br />
<strong>Resonance</strong> Sound<strong>in</strong>g(MRS) is a direct<br />
underground water geophysics detection<br />
method, which can efficiently detect and<br />
quantify underground water.<br />
In <strong>the</strong> usual surface based measurements, with<br />
horizontal loop on <strong>the</strong> ground, <strong>the</strong> exploration<br />
depth approximate to <strong>the</strong> side length of s<strong>in</strong>gle<br />
turn loop (maximum 150m). Because of <strong>the</strong><br />
restriction of tunnel space, <strong>the</strong> multi-turn coil<br />
can be used to <strong>in</strong>sure <strong>the</strong> sufficient detection<br />
distance. So, we can use MRS <strong>in</strong>struments<br />
with small multi-turn coil to detect<br />
waterbear<strong>in</strong>g ahead of tunnel operation.<br />
For <strong>the</strong> subsuface based measurements <strong>in</strong><br />
tunnels, where <strong>the</strong> loop is non-horizontal, <strong>the</strong><br />
geometry can be described <strong>in</strong> an effective<br />
<strong>in</strong>cl<strong>in</strong>ation that can be expressed <strong>in</strong> terms of<br />
<strong>the</strong> Earth magnetic <strong>in</strong>cl<strong>in</strong>ation, decl<strong>in</strong>ation, and<br />
<strong>the</strong> orientation of <strong>the</strong> tunnel operation.<br />
Forward simulation bas been carried out. The<br />
simulation model is a 100m side lengh cube,<br />
whose resistivity is 500 Ω� m . <strong>the</strong> Earth<br />
magnetic <strong>in</strong>cl<strong>in</strong>ation, decl<strong>in</strong>ation are<br />
respectively 60 degree, 5 degree, and <strong>the</strong><br />
orientation of <strong>the</strong> tunnel operation is 124<br />
degree. The coil is 4.5m×8m with 8 turns, and<br />
excitation frequency is 2325 HZ. Forward<br />
simulation results <strong>in</strong>dicate that 1m thickness<br />
target waterbear<strong>in</strong>g fractures, located 30m<br />
ahead of tunnel operation can produce 5nV<br />
signal, which can be received by JLMRS<br />
<strong>in</strong>strument.<br />
Moreover, through forward simulation,<br />
analysis<strong>in</strong>g <strong>the</strong> relationship of Earth magnetic<br />
<strong>in</strong>cl<strong>in</strong>ation, decl<strong>in</strong>ation, and <strong>the</strong> orientation of<br />
<strong>the</strong> tunnel operation, <strong>the</strong> optimal coil lay plan<br />
is proposed.<br />
To test <strong>the</strong> feasibility of <strong>the</strong> tunnel usage of<br />
MRS, a typical gush<strong>in</strong>g water tunnel tests has<br />
been performed. This tunnel is a highway<br />
road , whose diameter is 12m and <strong>the</strong> rock are<br />
mostly basalt with fractures. When we test, <strong>the</strong><br />
tunnel operation was gush<strong>in</strong>g water on <strong>the</strong><br />
speed of 8~10m 3 /h. We used JLMRS<br />
<strong>in</strong>strument with 8 turns 4.5m×8m coil placed<br />
aga<strong>in</strong>st <strong>the</strong> tunnel operation to detect <strong>the</strong> water.<br />
Through time doma<strong>in</strong> analysis, <strong>the</strong> received<br />
signals obviously decl<strong>in</strong>e with time, which<br />
<strong>in</strong>dicate that <strong>the</strong> signals are MRS signals<br />
produced by water ahead of tunnel operation.<br />
The signal amplitude E0 is about 10~20nV,<br />
and S/N ratio is 0.9983. Noise cancellation<br />
(weighted stack, adaptive notch filter 50HZ,<br />
lowpass filter 10HZ)has been processed. After<br />
noise cancellation S/N ratio can reach 3.5288,<br />
which can be used to data <strong>in</strong>version.<br />
After data <strong>in</strong>version with smooth <strong>in</strong>version and<br />
block <strong>in</strong>version, we get <strong>the</strong> water content<br />
distuibution plot with<strong>in</strong> 30m distance away<br />
from tunnel operation. The result shows that<br />
water content with<strong>in</strong> 10m distance is higher<br />
than 10m~30m.That is to say, it is gush<strong>in</strong>g<br />
water now, but it will stop gush<strong>in</strong>g after 10m,<br />
which co<strong>in</strong>cide with actual situation.<br />
From <strong>the</strong> forward simulation, tunnel test, data<br />
time doma<strong>in</strong> analysis, and comparison with<br />
actual situation, we draw a conclusion that<br />
MRS detection with multi-turn coil can be<br />
used <strong>in</strong> tunnels.<br />
References<br />
Re<strong>in</strong>hard Meyer, Michael van Schoor, Jan<br />
Greben.(2007): Development of and Tests with<br />
<strong>the</strong> NMR[C].10th SAGA Biennial Technical<br />
Meet<strong>in</strong>g and Exhibition Technique to Detect<br />
Water Bear<strong>in</strong>g Fractures.<br />
J.M. Greben, R. Meyer, Z. Kimmie. (2008):The<br />
underground application of <strong>Magnetic</strong> <strong>Resonance</strong><br />
Sound<strong>in</strong>gs. Journal of Applied Geophysics.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
NMR Logg<strong>in</strong>g: A tool for quantify<strong>in</strong>g effective porosity and hydraulic conductivity with<strong>in</strong><br />
<strong>the</strong> Murray Darl<strong>in</strong>g Bas<strong>in</strong> of Australia 69<br />
NMR Logg<strong>in</strong>g: A tool for quantify<strong>in</strong>g effective porosity and hydraulic<br />
conductivity with<strong>in</strong> <strong>the</strong> Murray Darl<strong>in</strong>g Bas<strong>in</strong> of Australia<br />
Jared D. Abraham,<br />
jdabraha@usgs.gov, United States Geological Survey, Denver, Colorado<br />
Kok Piang Tan,<br />
KokPiang.Tan@ga.gov.au, Geoscience Australia, Canberra, Australia<br />
Ken Lawrie,<br />
Ken.Lawrie@ga.gov.au, Geoscience Australia, Canberra, Australia<br />
Ross S. Brodie,<br />
Ross.Brodie2@ga.gov.au, Geoscience Australia, Canberra, Australia<br />
Jon Clarke,<br />
Jon.Clarke@ga.gov.au, Geoscience Australia, Canberra, Australia<br />
Gerhard Schon<strong>in</strong>g,<br />
Gerhard.Schon<strong>in</strong>g@ga.gov.au, Geoscience Australia, Canberra, Australia<br />
With<strong>in</strong> Australia, and <strong>the</strong> world, understand<strong>in</strong>g<br />
groundwater resources and <strong>the</strong>ir management<br />
are grow<strong>in</strong>g <strong>in</strong> importance to society as<br />
groundwater resources are stressed by drought<br />
and cont<strong>in</strong>ued development. To m<strong>in</strong>imize<br />
conflicts, new tools and techniques need to be<br />
applied to support knowledge-based decisions<br />
and management. The critical and challeng<strong>in</strong>g<br />
measurements <strong>in</strong> characteriz<strong>in</strong>g aquifers<br />
<strong>in</strong>clude effective porosity and hydraulic<br />
conductivity. Typically, values for effective<br />
porosity and hydraulic conductivity are derived<br />
by lithological comparisons with published<br />
data; direct measurements of hydraulic<br />
conductivity acquired by a few constant head<br />
aquifer tests or slug tests; and expensive and<br />
time consum<strong>in</strong>g laboratory measurements of<br />
cores which can be biased by sampl<strong>in</strong>g and <strong>the</strong><br />
difficulty of mak<strong>in</strong>g measurements on<br />
unconsolidated materials. Aquifer tests are<br />
considered to be <strong>the</strong> best method to ga<strong>the</strong>r<br />
<strong>in</strong>formation on hydraulic conductivity but are<br />
rare because of cost and difficult logistics.<br />
Also <strong>the</strong>y are unique <strong>in</strong> design and<br />
<strong>in</strong>terpretation from site to site. Nuclear<br />
<strong>Magnetic</strong> <strong>Resonance</strong> (NMR) can provide a<br />
direct measurement of <strong>the</strong> presence of water <strong>in</strong><br />
<strong>the</strong> pore space of aquifer materials. Detection<br />
and direct measurement is possible due to <strong>the</strong><br />
nuclear magnetization of <strong>the</strong> hydrogen<br />
(protons) <strong>in</strong> <strong>the</strong> water. These measurements are<br />
<strong>the</strong> basis of <strong>the</strong> familiar MRI (magnetic<br />
resonance imag<strong>in</strong>g) <strong>in</strong> medical applications.<br />
NMR is also widely used <strong>in</strong> logg<strong>in</strong>g<br />
applications with<strong>in</strong> <strong>the</strong> petroleum <strong>in</strong>dustry.<br />
With<strong>in</strong> <strong>the</strong> Murray Darl<strong>in</strong>g dra<strong>in</strong>age NMR data<br />
were acquired <strong>in</strong> 26 boreholes. Effective<br />
porosity values were derived directly from <strong>the</strong><br />
NMR data, and hydraulic conductivity values<br />
were calculated us<strong>in</strong>g empirical relationships<br />
calibrated and verified with few laboratory<br />
permeameter and aquifer tests. NMR provided<br />
measurements of <strong>the</strong> effective porosity and<br />
hydraulic conductivity at a resolution not<br />
possible us<strong>in</strong>g traditional methods. Unlike<br />
aquifer tests, NMR logs are not unique <strong>in</strong><br />
design and are applied <strong>in</strong> similar fashion from<br />
borehole to borehole provid<strong>in</strong>g a standard way<br />
of measur<strong>in</strong>g hydraulic properties. When <strong>the</strong><br />
hydraulic properties from <strong>the</strong> NMR are<br />
<strong>in</strong>tegrated with hydrogeological <strong>in</strong>terpretations<br />
of airborne electromagnetic data large areas of<br />
<strong>the</strong> Murray Darl<strong>in</strong>g Bas<strong>in</strong> can be characterized.<br />
This provides a much more robust method for<br />
conceptualiz<strong>in</strong>g groundwater models <strong>the</strong>n<br />
simply us<strong>in</strong>g previously published data for<br />
assign<strong>in</strong>g effective porosity and hydraulic<br />
conductivity. Borehole NMR allows superior,<br />
rapid measurements of <strong>the</strong> complexities of<br />
aquifers with<strong>in</strong> <strong>the</strong> Murray Darl<strong>in</strong>g Bas<strong>in</strong> when<br />
compared with <strong>the</strong> traditional methods.<br />
References<br />
Lawrie, K.C., Brodie R.S., Dillon, P., Tan, K.P.,<br />
Gibson, D., Magee, J., Clarke, J.D.A.,<br />
Somerville, P., Gow, L., Halas, L., Apps, H.E.,<br />
Page, D., Vanderzalm, J., Abraham, J., Hostetler,<br />
S., Christensen, N.B., Miotl<strong>in</strong>ski, K., Brodie,<br />
R.C., Smith, M. and Schon<strong>in</strong>g, G., 2012.<br />
BHMAR Project: Assessment of Conjunctive<br />
Water Supply Options to Enhance <strong>the</strong><br />
Drought Security of Broken Hill, Regional<br />
Communities and Industries- Summary<br />
Report. Geoscience Australia Record<br />
2012/15. 213 p.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
MRS study of water content variations <strong>in</strong> <strong>the</strong> unsaturated zone of a karst aquifer (sou<strong>the</strong>rn<br />
France) 70<br />
MRS study of water content variations <strong>in</strong> <strong>the</strong> unsaturated zone of a karst<br />
aquifer (sou<strong>the</strong>rn France)<br />
Mazzilli N.* 1 , Boucher M. 2 , Chalikakis K. 3 , Legchenko A. 2 , Jourde H. 1 , Carriere S. 3 ,<br />
Guyard H. 2 , Chevallier A. 2<br />
1<br />
UMR 5569 HSM, Université Montpellier 2 CC MSE, 34095 Montpellier cedex 5, France<br />
2<br />
IRD/LTHE, Grenoble, France<br />
3<br />
UMR 1114 EMMAH (UAPV/INRA), Avignon, France<br />
*mazzilli@msem.univ-montp2.fr<br />
In <strong>the</strong> mediteranean bass<strong>in</strong>, groundwater <strong>in</strong><br />
karst aquifers is a vital but also highly<br />
vulnerable resource. The unsaturated zone of<br />
karst plays a key role <strong>in</strong> <strong>the</strong> recharge and<br />
contam<strong>in</strong>ant attenuation processes but<br />
unsaturated zone properties assessment<br />
rema<strong>in</strong>s mostly qualitative.<br />
Presented study aims to assess <strong>the</strong> potential of<br />
<strong>the</strong> <strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g method<br />
(MRS) applied to <strong>the</strong> characterisation of <strong>the</strong><br />
unsaturated zone of karst systems. MRS<br />
method was <strong>in</strong>itially developed for<br />
characteriz<strong>in</strong>g saturated aquifers, and few<br />
applications <strong>in</strong> unsaturated zone have been<br />
performed up to now. Hence <strong>the</strong> issues<br />
addressed are: (i) does water storage with<strong>in</strong> <strong>the</strong><br />
unsaturated zone of karst yield measurable<br />
MRS signal ? if so, (ii) can we evidence ei<strong>the</strong>r<br />
a temporal or a spatial variability of <strong>the</strong> MRS<br />
response ? and (iii) can we relate MRS<br />
response variability to observed unsaturated<br />
zone characteristics ?<br />
A total of 21 sites have been selected for <strong>the</strong><br />
MRS <strong>in</strong>vestigations <strong>in</strong> dolomite and limestone<br />
formations on <strong>the</strong> Larzac plateau and <strong>the</strong> Lez<br />
recharge area (sou<strong>the</strong>rn France), based on <strong>the</strong><br />
two follow<strong>in</strong>g criteria: (i) diversity and spatial<br />
representativity of <strong>the</strong> hydrogeological and<br />
geomorphological sett<strong>in</strong>g, and (ii) favorable<br />
ambient electromagnetic noise conditions. The<br />
temporal variability of <strong>the</strong> MRS signal was<br />
<strong>in</strong>vestigated by repeat<strong>in</strong>g sound<strong>in</strong>gs on 7 of<br />
<strong>the</strong>se sites where high water storage variations<br />
were expected. Dur<strong>in</strong>g our study we used <strong>the</strong><br />
NUMIS plus and NUMIS lite <strong>in</strong>struments with a<br />
80×80 m 2 square loop or eight-shaped loops<br />
with 40 m size each square.<br />
The average signal-to-noise ratio for <strong>the</strong> MRS<br />
measurements is equal to 4, which confirms<br />
<strong>the</strong> applicability of <strong>the</strong> MRS method for <strong>the</strong><br />
<strong>in</strong>vestigation of <strong>the</strong> unsaturated zone of karst.<br />
Usually, <strong>the</strong> detection of MRS signal <strong>in</strong><br />
unsaturated zone is limited by <strong>the</strong> short<br />
relaxation time T2* that cannot be detected due<br />
to <strong>the</strong> <strong>in</strong>strumental dead time. In <strong>the</strong> case of<br />
karst unsaturated zone, <strong>the</strong> possibility to record<br />
signal is expla<strong>in</strong>ed by a low magnetic<br />
susceptibility of limestone and dolomites that<br />
allowed T2 * not to be affected by natural<br />
heterogeneities <strong>in</strong> magnetic field.<br />
As regards <strong>the</strong> spatial variability, <strong>the</strong> raw MRS<br />
responses clearly dist<strong>in</strong>guish between <strong>the</strong><br />
<strong>in</strong>vestigated formations: <strong>the</strong> maximum values<br />
of signal amplitude and T2* are associated with<br />
ru<strong>in</strong>iform dolomite (40 to 80nV and up to 250<br />
ms respectively) whereas m<strong>in</strong>imum signal<br />
amplitudes and T2* (
Investigat<strong>in</strong>g hydraulic properties of a glacial sand deposit <strong>in</strong> <strong>the</strong> north of Sweden 71<br />
Investigat<strong>in</strong>g hydraulic properties of a glacial sand deposit <strong>in</strong> <strong>the</strong> north of<br />
Sweden<br />
Perttu 1* N., A. Legchenko 2<br />
1 Luleå University of Technology, Sweden; 2 IRD / LTHE, Grenoble, France.<br />
nils.perttu@ltu.se<br />
The city of Luleå is located about 1000 km<br />
north of Stockholm, Sweden, with 73 000<br />
<strong>in</strong>habitants. The city is dependent on artificial<br />
groundwater, i.e. <strong>the</strong> clean<strong>in</strong>g of surface water<br />
through <strong>in</strong>filtration of a natural sand formation.<br />
Due to <strong>the</strong> recent establishment of Facebook,<br />
this alone demands 10% of <strong>the</strong> dr<strong>in</strong>k<strong>in</strong>g water<br />
currently produced and an <strong>in</strong>creas<strong>in</strong>g<br />
population <strong>in</strong>evitably lead to a need to <strong>in</strong>crease<br />
<strong>the</strong> dr<strong>in</strong>k<strong>in</strong>g water production. In order to<br />
extend exist<strong>in</strong>g water supply <strong>the</strong> local<br />
authorities <strong>in</strong>itiated a hydrogeophysical study<br />
aim<strong>in</strong>g to improve <strong>the</strong> knowledge of <strong>the</strong> lateral<br />
and vertical extension of <strong>the</strong> aquifer toge<strong>the</strong>r<br />
with its hydraulic properties. In <strong>the</strong><br />
<strong>in</strong>vestigated area <strong>the</strong> granite basement is<br />
covered by a glacial deposit of a few tens of<br />
meters, consist<strong>in</strong>g of medium to coarse sand<br />
with <strong>in</strong>terlac<strong>in</strong>g layers of clay and silt. The<br />
aquifer borders to areas of till with poorer<br />
aquifer potential. The magnetic susceptibility<br />
of <strong>the</strong> sand and till varies between 10 -3 to 10 -2<br />
SI.<br />
In this study, <strong>the</strong> <strong>Magnetic</strong> <strong>Resonance</strong><br />
Sound<strong>in</strong>g (MRS) method has been used<br />
(Legchenko et al, 2004). However, due to <strong>the</strong><br />
presence of magnetic materials, standard MRS<br />
measurements, based on measur<strong>in</strong>g <strong>the</strong> free<br />
<strong>in</strong>duction decay signal (FID), were <strong>in</strong>efficient<br />
(Roy et al., 2008). Thus, <strong>the</strong> more <strong>in</strong>tricate<br />
MRS sp<strong>in</strong> echo (SE) mode was used<br />
(Legchenko et al, 2010; Vouillamoz et al,<br />
2011). The water supply plant with runn<strong>in</strong>g<br />
pump<strong>in</strong>g <strong>in</strong>stallations and correspond<strong>in</strong>g<br />
power l<strong>in</strong>es is located close to an <strong>in</strong>dustrial<br />
zone and consequently <strong>the</strong> level of <strong>in</strong>dustrial<br />
noise was very high. The measurements were<br />
made with 20×20 m 2 and 50×50 m 2 figureeight<br />
loops (Trushk<strong>in</strong> et al., 1995) us<strong>in</strong>g notchfilter<strong>in</strong>g<br />
(Legchenko and Valla, 2003), and a<br />
stack<strong>in</strong>g number between 200 and 600.<br />
No FID signals were observed <strong>in</strong> any of <strong>the</strong><br />
n<strong>in</strong>e sound<strong>in</strong>gs made. The amplitude of <strong>the</strong> SE<br />
signal varied between 20 to 120 with a T2 *<br />
about 30 ms. The water content derived from<br />
<strong>in</strong>version ranged from 10 to 30% with <strong>the</strong><br />
relaxation time T2 between 260 and 560 ms,<br />
thus show<strong>in</strong>g a clear heterogeneity of <strong>the</strong><br />
glacial deposit.<br />
MRS results were compared with numerous<br />
boreholes (lithology and hydraulic properties)<br />
with good correspondence. Some boreholes<br />
located at a distance of 50 m (which is<br />
comparable with MRS loop size) show fivefold<br />
variation <strong>in</strong> <strong>the</strong> hydraulic conductivity derived<br />
from pump<strong>in</strong>g tests thus po<strong>in</strong>t<strong>in</strong>g on a 3D<br />
formation. Under <strong>the</strong>se conditions we consider<br />
that 1D MRS results were sufficiently<br />
accurate.<br />
We have shown that MRS SE allowed gett<strong>in</strong>g<br />
reliable <strong>in</strong>formation of <strong>the</strong> hydraulic properties<br />
of <strong>the</strong> subsurface that could not have been<br />
obta<strong>in</strong>ed us<strong>in</strong>g o<strong>the</strong>r geophysical methods.<br />
References<br />
Legchenko A., and P. Valla (2003): Removal of<br />
power l<strong>in</strong>e harmonics from proton magnetic<br />
resonance measurements. Journal of Applied<br />
Geophysics, 53, 103-120.<br />
Legchenko A., J-M. Baltassat, A. Bobachev, C.<br />
Mart<strong>in</strong>, H. Rob<strong>in</strong>, and J-M. Vouillamoz (2004):<br />
<strong>Magnetic</strong> resonance sound<strong>in</strong>g applied to aquifer<br />
characterization. Journal of Ground Water, 42,<br />
363-373.<br />
Legchenko, A., J.M. Vouillamoz, J. Roy (2010):<br />
Application of <strong>the</strong> magnetic resonance sound<strong>in</strong>g<br />
method to <strong>the</strong> <strong>in</strong>vestigation of aquifers <strong>in</strong> <strong>the</strong><br />
presence of magnetic materials. Geophysics 75:<br />
L91<strong>–</strong>L100.<br />
Trushk<strong>in</strong> D.V., O.A. Shushakov, and A.V.<br />
Legchenko (1995): Surface NMR applied to an<br />
electroconductive medium: Geophysical<br />
Prospect<strong>in</strong>g, 43, 623-633.<br />
Roy, J., A. Rouleau, M. Chouteau, M. Bureau<br />
(2008): Widespread occurrence of aquifers<br />
currently undetectable with <strong>the</strong> MRS technique<br />
<strong>in</strong> <strong>the</strong> Grenville geological prov<strong>in</strong>ce, Canada.<br />
Journal of Applied Geophysics, 66, 82-93.<br />
Vouillamoz J-M., A. Legchenko A., Nandagiri<br />
(2011): Characteriz<strong>in</strong>g aquifers when us<strong>in</strong>g<br />
magnetic resonance sound<strong>in</strong>g <strong>in</strong> a heterogeneous<br />
geomagnetic field, Near Surface Geophysics, 9,<br />
135-144.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Estmat<strong>in</strong>g regional groundwater reserve <strong>in</strong> a clayey sandstone aquifer of Cambodia. 72<br />
Estmat<strong>in</strong>g regional groundwater reserve <strong>in</strong> a clayey sandstone aquifer of<br />
Cambodia.<br />
Vouillamoz a , J.-M.; Sophoeun b , P.; Bruyere c , O.; Caron a , D.; and Arnout c , L.<br />
a IRD, UMR LTHE; b Cambodian Red Croos; c French Red Cross<br />
Jean-Michel.Vouillamoz@ird.fr<br />
Climate change and rapid population growth <strong>in</strong><br />
Asia will probably impact all water sources.<br />
S<strong>in</strong>ce most of <strong>the</strong> Earth's liquid fresh water is<br />
groundwater, its potential buffer role will be a<br />
key issue to support adaptation strategies. The<br />
buffer behavior of aquifer is controlled by<br />
several factors <strong>in</strong>clud<strong>in</strong>g <strong>the</strong> groundwater<br />
reserve (i.e. <strong>the</strong> amount of groundwater<br />
actually stored <strong>in</strong> <strong>the</strong> rock reservoir).<br />
Although <strong>the</strong> knowledge of groundwater<br />
reserve is a key isssue, it is usually quantified<br />
based on poor dataset (see for example<br />
MacDonald et al., 2011 for Africa). Moreover,<br />
common tools used by hydrogeologists for<br />
quantyfy<strong>in</strong>g groundwater reserve (i.e.<br />
hydraulic tests and groundwater modell<strong>in</strong>g)<br />
consume a numerous set of data, a lot of<br />
money and time, and thus <strong>the</strong>y are rarely used<br />
for rout<strong>in</strong>e works <strong>in</strong> develop<strong>in</strong>g countries.<br />
Nowadays, <strong>the</strong> potential of magnetic resonance<br />
sound<strong>in</strong>g (MRS) for complement<strong>in</strong>g <strong>the</strong><br />
hydrogeological toolbox is well known.<br />
However, relationships between <strong>the</strong> field scale<br />
MRS results and hydrogeological storagerelated<br />
properties have not been well<br />
established yet (Vouillamoz et al., 2005;<br />
Boucher et al., 2009).<br />
We started a study <strong>in</strong> a clayey sandstone<br />
environment of Nor<strong>the</strong>rn Cambodia <strong>in</strong> 2010.<br />
Our ma<strong>in</strong> objective is to quantify <strong>the</strong> water<br />
ressources at a regional scale (about 2 000<br />
km²) for establish<strong>in</strong>g appropriate practices for<br />
<strong>the</strong> development of irrigated paddy field. In<br />
this paper, we present <strong>the</strong> methodology we<br />
developed and <strong>the</strong> results we obta<strong>in</strong>ed for<br />
quantyfy<strong>in</strong>g <strong>the</strong> groundwater reserve of <strong>the</strong><br />
targeted region.<br />
We first present <strong>the</strong> result of a comparison<br />
between MRS records (i.e. water content and<br />
decay rate of FID signal) and both specific<br />
yield calculated from pump<strong>in</strong>g tests and<br />
effective porosity calculated from tracer tests.<br />
Based on <strong>the</strong>se results obta<strong>in</strong>ed at 9 sites, we<br />
adapt an approach used <strong>in</strong> <strong>the</strong> oil <strong>in</strong>dustry for<br />
differenc<strong>in</strong>g gravitational water from capillary<br />
water and from bound water, based on <strong>the</strong><br />
MRS decay time parameter (among o<strong>the</strong>r<br />
Dunn et al., 2002). For check<strong>in</strong>g <strong>the</strong> validity of<br />
our so-named MRS apparent cutoff time<br />
approach (MRS-ACT), we compare MRS<br />
signal recorded just before pump<strong>in</strong>g (i.e. <strong>in</strong> a<br />
fully saturated reservoir) with signal recorded<br />
while pump<strong>in</strong>g (i.e. gravitational water<br />
removed) at a s<strong>in</strong>gle location. Then, we use our<br />
MRS-ACT approach for estimat<strong>in</strong>g<br />
groundwater reserve at a regional scale from<br />
47 MRS squatered over <strong>the</strong> area.<br />
We conclude that we are able to estimate <strong>the</strong><br />
specific yield with an average error of 23%,<br />
which is far less than <strong>the</strong> previous published<br />
results. Then, we found that <strong>the</strong> groundwater<br />
reserve of <strong>the</strong> surveyed aquifer is rang<strong>in</strong>g<br />
between 120 and 200 liters/m² of surface area<br />
for 50% of <strong>the</strong> sites. If we had considered that<br />
MRS water content is a rough estimate of <strong>the</strong><br />
specific yield, <strong>the</strong>n <strong>the</strong> groundwater reserve<br />
would have been over-estimated from 13 to<br />
55%.<br />
References<br />
Boucher, M., Favreau, G., Vouillamoz, J.M.,<br />
Nazoumou, Y. and A., L., 2009. Estimat<strong>in</strong>g<br />
specific yield and transmissivity with <strong>Magnetic</strong><br />
<strong>Resonance</strong> Sound<strong>in</strong>g <strong>in</strong> an unconf<strong>in</strong>ed sandstone<br />
aquifer. Hydrogeology Journal, ISSN 1431-<br />
2174.<br />
Dunn, K.J., Bergman, D.J, Latorraca, G.A., 2002.<br />
Nuclear magnetic resonance petrophysical and<br />
logg<strong>in</strong>g applications. Elsevier Science Ltd, 293<br />
pp.<br />
MacDonald, A.M., Bonsor, H.C., Calow, R.C.,<br />
Taylor, G.R., Lapworth, D.J., Maurice, L.,<br />
Tucker, J. and O Dochartaigh, B.E., 2011.<br />
Groundwater resilience to climate change <strong>in</strong><br />
Africa. OR/11/031, British Geological Survey<br />
Open Report.<br />
Vouillamoz, J.M., Descloitres, M., Toe, G. and<br />
Legchenko, A., 2005. Characterization of<br />
crystall<strong>in</strong>e basement aquifers with MRS :<br />
comparison with boreholes and pump<strong>in</strong>g tests<br />
data <strong>in</strong> Burk<strong>in</strong>a Faso. Near Surface Geophysics,<br />
3: 205-213.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Application of underground magnetic resonance sound<strong>in</strong>g on advanced detection water<strong>in</strong>duced<br />
disaster <strong>in</strong> 3D structure 73<br />
Application of underground magnetic resonance sound<strong>in</strong>g on advanced<br />
detection water-<strong>in</strong>duced disaster <strong>in</strong> 3D structure<br />
L<strong>in</strong> Jun, Jiang Chuandong, L<strong>in</strong> T<strong>in</strong>gt<strong>in</strong>g<br />
College of Instrumentation and Electrical Eng<strong>in</strong>eer<strong>in</strong>g, Jil<strong>in</strong> University, Changchun, 130061, Ch<strong>in</strong>a<br />
ttl<strong>in</strong>@jlu.edu.cn; willianjcd@yahoo.com.cn;<br />
Introduction<br />
Water-<strong>in</strong>duced disasters, such as tunnel<br />
water-gush, m<strong>in</strong>e water-<strong>in</strong>rush, fatal goafwater<br />
accident, have happened around world <strong>in</strong><br />
recent years. Nondestructive detection methods<br />
(TSP, GPR and BEAM) are applied for waterburst<strong>in</strong>g<br />
detection. However, misjudgment<br />
often occurs due to <strong>the</strong> multiple potential<br />
<strong>in</strong>terpretations of exploration results. <strong>Magnetic</strong><br />
resonance sound<strong>in</strong>g (MRS) method is <strong>the</strong>n<br />
conceived as it is particularly relevant to<br />
groundwater <strong>in</strong>vestigations. Whereas,<br />
perform<strong>in</strong>g MRS <strong>in</strong> underground condition<br />
(UMRS) presents considerable challenges for<br />
three ma<strong>in</strong> reasons: 1) <strong>the</strong> size of <strong>the</strong> loop is<br />
severely limited by <strong>the</strong> tunnel dimensions. 2)<br />
Calculation of <strong>the</strong> excit<strong>in</strong>g magnetic field<br />
when <strong>the</strong> antenna was rotated by an arbitrary<br />
angle. 3) In <strong>the</strong> whole space doma<strong>in</strong>, UMRS<br />
signal could be significantly affected by<br />
<strong>in</strong>terference water beh<strong>in</strong>d <strong>the</strong> head<strong>in</strong>g face.<br />
To solve <strong>the</strong> above problems, on <strong>the</strong> <strong>the</strong>oretical<br />
basis of surface MRS method, underground<br />
MRS of whole space is modeled with<strong>in</strong> this<br />
paper. The advance detection distance could be<br />
extended by us<strong>in</strong>g multi-turn transmiter and<br />
receiver antenna. Meanwhile, by <strong>in</strong>troduc<strong>in</strong>g<br />
<strong>the</strong> concept of rotation coefficient matrix, <strong>the</strong><br />
vertical component of excit<strong>in</strong>g field with<br />
arbitrary direction of geomagnetic field and<br />
antenna can effortlessly calculated.<br />
Forward problem<br />
For UMRS forward problem, hydraulic<br />
conductivity fault is generalized to a plate with<br />
widths 1 m to 4 m. The large karst cave is<br />
approximated as a sphere with radius of 5 m to<br />
15 m. In regard to ra<strong>the</strong>r complicated karst<br />
cave system, <strong>the</strong> comb<strong>in</strong>ation of plates and<br />
spheres is modeled. The UMRS responses of<br />
<strong>the</strong> three water-bear<strong>in</strong>g structures have been<br />
numerical simulated <strong>in</strong> 3D.<br />
Our results suggest that, by us<strong>in</strong>g 10 turn<br />
or 100 turn co<strong>in</strong>cident antenna with <strong>the</strong> size of<br />
6 m or 2 m, <strong>the</strong> advanced detection distance<br />
can be reached to 30 m assum<strong>in</strong>g that <strong>the</strong><br />
receiv<strong>in</strong>g sensitivity of MRS <strong>in</strong>strument is<br />
5nV. Additionally, series of numerical<br />
modell<strong>in</strong>g exercises suggest that <strong>the</strong> optimal<br />
coupl<strong>in</strong>g of <strong>the</strong> angles could be achieved when<br />
<strong>the</strong> normal orientation of <strong>the</strong> antenna is<br />
paralleled to direction of geomagnetic field.<br />
This fact make feasible that, ei<strong>the</strong>r with <strong>the</strong><br />
smaller pulse moment to detect <strong>the</strong> same depth<br />
of water, or with <strong>the</strong> same pulse moment to get<br />
<strong>the</strong> maximum MRS signal amplitude which<br />
provide a higher sensitivity to groundwater<br />
distribution. The <strong>in</strong>terference water will br<strong>in</strong>g<br />
disturbance to <strong>the</strong> observed UMRS signals, but<br />
<strong>the</strong> <strong>in</strong>fluence is negligible with extended<br />
distance <strong>in</strong> <strong>the</strong> back of <strong>the</strong> head<strong>in</strong>g face.<br />
3D <strong>in</strong>version<br />
Accord<strong>in</strong>g to <strong>the</strong> advanced detection<br />
distance and <strong>the</strong> <strong>in</strong>fluence range of <strong>in</strong>terference<br />
water, <strong>the</strong> <strong>in</strong>version space is optimized to a<br />
reasonable zone with 3000 subdivision units <strong>in</strong><br />
front of head<strong>in</strong>g face. Numerical simulations<br />
of 3D <strong>in</strong>version <strong>in</strong> regard to hydraulic<br />
conductivity fault, karst cave and complicated<br />
karst system are presented to confirm <strong>the</strong><br />
feasibility of UMRS method.<br />
Conclusion<br />
In summary, <strong>the</strong> present numerical study<br />
proposed <strong>in</strong> this paper will promote <strong>the</strong><br />
development of UMRS equipment and provide<br />
technical support for early warn<strong>in</strong>g of water<strong>in</strong>duced<br />
disasters.<br />
References<br />
Greben, J. M., Meyer R., Kimmie Z, 2011. The<br />
underground application of <strong>Magnetic</strong> <strong>Resonance</strong><br />
Sound<strong>in</strong>gs. Journal of Applied Geophysics 75,<br />
220-226<br />
Girard, J. F., Legchenko, A., Boucher, M., et al,<br />
2008. Numerical study of <strong>the</strong> variations of<br />
magnetic resonance signals caused by surface<br />
slope. Journal of Applied Geophysics 66, 94-<br />
103.<br />
Hertrich, M., 2008. Imag<strong>in</strong>g of ground water with<br />
nuclear magnetic resonance. Progress <strong>in</strong> Nuclear<br />
<strong>Magnetic</strong> <strong>Resonance</strong> Spectroscopy 53, 227<strong>–</strong>248<br />
.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Surface NMR applied to determ<strong>in</strong><strong>in</strong>g aquifer properties <strong>in</strong> <strong>the</strong> Central Platte River, central<br />
Nebraska 74<br />
Surface NMR applied to determ<strong>in</strong><strong>in</strong>g aquifer properties <strong>in</strong> <strong>the</strong> Central<br />
Platte River, central Nebraska<br />
Jared D. Abraham<br />
US Geological Survey Denver, Colorado, jdabraha@usgs.gov<br />
Trevor P. Irons<br />
US Geological Survey Denver, Colorado, tirons@usgs.gov<br />
James C. Cannia<br />
US Geological Survey Mitchell, Nebraska, jcannia@usgs.gov<br />
Christopher M. Hobza<br />
US Geological Survey L<strong>in</strong>coln, Nebraska, chobza@usgs.gov<br />
Gregory V. Steel<br />
US Geological Survey L<strong>in</strong>coln, Nebraska, gvsteele@usgs.gov<br />
Duane D. Woodward<br />
Centeral Platte Natrual Resource District, woodward@cpnrd.org<br />
Surface nuclear magnetic resonance (SNMR)<br />
is a non-<strong>in</strong>vasive geophysical method that<br />
measures a signal directly related to <strong>the</strong><br />
amount of water <strong>in</strong> <strong>the</strong> subsurface. This allows<br />
for low-cost quantitative estimates of hydraulic<br />
parameters. In practice though, additional<br />
factors <strong>in</strong>fluence <strong>the</strong> signal complicat<strong>in</strong>g<br />
<strong>in</strong>terpretation. The U.S. Geological Survey, <strong>in</strong><br />
cooperation with <strong>the</strong> Nebraska Environmental<br />
Trust and <strong>the</strong> Central Platte Natural Resources<br />
District, evaluated whe<strong>the</strong>r hydraulic<br />
parameters derived from SNMR data could<br />
provide valuable <strong>in</strong>put <strong>in</strong>to groundwater<br />
models used for evaluat<strong>in</strong>g water management<br />
practices. Two calibration sites <strong>in</strong> Dawson<br />
County, Nebraska were chosen based on<br />
previous detailed hydrogeologic and<br />
geophysical <strong>in</strong>vestigations. At both sites, T2*<br />
free <strong>in</strong>duction decay SNMR data were<br />
collected, and derived parameters were<br />
compared with results from four constantdischarge<br />
aquifer tests previously conducted at<br />
<strong>the</strong>se same sites. Additionally, borehole<br />
electromagnetic <strong>in</strong>duction flow meter data<br />
were analyzed as a less expensive substitute<br />
for traditional aquifer tests. Flow meter data<br />
allow <strong>in</strong>creased resolution of <strong>the</strong> hydraulic<br />
properties than <strong>the</strong> constant-discharge aquifer<br />
tests. An <strong>in</strong>novative SNMR model<strong>in</strong>g and<br />
<strong>in</strong>version method was used that <strong>in</strong>corporates<br />
electrical conductivity and magnetic field<br />
<strong>in</strong>homogeneity effects, which had a significant<br />
impact on <strong>the</strong> data, on <strong>the</strong> T2* free <strong>in</strong>duction<br />
decay data. After calibrat<strong>in</strong>g <strong>the</strong> SNMR<br />
<strong>in</strong>versions at <strong>the</strong> two calibration sites, SNMR<br />
derived parameters were compared with<br />
historical aquifer tests at o<strong>the</strong>r locations with<strong>in</strong><br />
<strong>the</strong> Central Platte Natural Resources District.<br />
This served as a bl<strong>in</strong>d test for <strong>the</strong> SNMR. The<br />
SNMR derived aquifer parameters were <strong>in</strong><br />
agreement with <strong>the</strong> aquifer tests <strong>in</strong> most cases.<br />
In some cases, <strong>the</strong> previously performed<br />
aquifer tests were not designed to fully<br />
characterize <strong>the</strong> aquifer, and <strong>the</strong> SNMR was<br />
able to provide miss<strong>in</strong>g data. This allows <strong>the</strong><br />
calibrated SNMR parameters to be applied<br />
throughout <strong>the</strong> general hydrogeological<br />
environment of <strong>the</strong> Central Platte Natural<br />
Resources District. The factors that <strong>in</strong>fluenced<br />
<strong>the</strong> success of <strong>the</strong> SNMR <strong>in</strong>cluded cultural and<br />
natural noise; conductive sediments; and <strong>the</strong><br />
quality of <strong>the</strong> hydrogeological calibration data.<br />
One o<strong>the</strong>r issue is <strong>the</strong> lack of quantifiable<br />
uncerta<strong>in</strong>ty <strong>in</strong> many of <strong>the</strong> hydrogeological<br />
calibration data.<br />
In favorable locations SNMR is able to provide<br />
valuable non-<strong>in</strong>vasive <strong>in</strong>formation about<br />
aquifer parameters. This allows for an<br />
improved spatial sampl<strong>in</strong>g of <strong>the</strong> critical<br />
aquifers with<strong>in</strong> <strong>the</strong> Central Platte Natural<br />
Resources District. Us<strong>in</strong>g this data with<strong>in</strong><br />
groundwater models provides a useful tool for<br />
groundwater managers <strong>in</strong> Nebraska.<br />
References<br />
Irons, T.P., Hobza, C.M., Steele, G.V., Abraham,<br />
J.D., Cannia, J.C., Woodward, D.D., (2012):<br />
Quantification of aquifer properties us<strong>in</strong>g<br />
nuclear magnetic resonance <strong>in</strong> <strong>the</strong> Platte River<br />
valley, central Nebraska us<strong>in</strong>g a novel <strong>in</strong>version<br />
method, USGS Scientific Investigations Report<br />
2012, 125 p.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Case studies of <strong>the</strong> MRS method <strong>in</strong> various geological backgrounds 75<br />
Case studies of <strong>the</strong> MRS method <strong>in</strong> various geological backgrounds<br />
Jean BERNARD, Orlando LEITE, Fabrice VERMEERSCH<br />
IRIS Instruments<br />
iris@iris-<strong>in</strong>struments.com<br />
S<strong>in</strong>ce a few years, <strong>the</strong> <strong>Magnetic</strong> <strong>Resonance</strong><br />
Sound<strong>in</strong>g method has become more and more<br />
popular all around <strong>the</strong> world for groundwater<br />
<strong>in</strong>vestigations.<br />
The <strong>in</strong>terpretation of <strong>the</strong> MRS measurements<br />
permits to estimate <strong>the</strong> water content (porosity)<br />
and <strong>the</strong> permeability of each layer at depth.<br />
These parameters are useful to determ<strong>in</strong>e <strong>the</strong><br />
prospects of a groundwater reservoir before<br />
drill<strong>in</strong>g and to make a prediction of <strong>the</strong> yield of<br />
water which can be obta<strong>in</strong>ed, after calibration<br />
with exist<strong>in</strong>g holes <strong>in</strong> <strong>the</strong> area of <strong>the</strong> survey.<br />
The <strong>in</strong>tegration of MRS among o<strong>the</strong>r more<br />
traditional geophysical methods (DC<br />
resistivity, TDEM, …) will be <strong>the</strong> key po<strong>in</strong>t of<br />
its success <strong>in</strong> <strong>the</strong> long term, tak<strong>in</strong>g <strong>in</strong>to account<br />
<strong>the</strong> advantages and <strong>the</strong> limitations and <strong>the</strong> cost<br />
of all <strong>the</strong>se methods. The optimization of <strong>the</strong><br />
budgets of <strong>the</strong> surveys is <strong>in</strong>deed an important<br />
factor of <strong>the</strong> projects aim<strong>in</strong>g at provid<strong>in</strong>g water<br />
to population, cattle, agriculture, m<strong>in</strong><strong>in</strong>g or<br />
o<strong>the</strong>r <strong>in</strong>dustrial activities.<br />
Field examples of MRS data will be given,<br />
obta<strong>in</strong>ed <strong>in</strong> various cont<strong>in</strong>ents <strong>in</strong>clud<strong>in</strong>g Asia<br />
and Africa, with different geological contexts<br />
and with various EM noise, magnetic latitude,<br />
loop geometries conditions; also, when<br />
available, <strong>in</strong> comparison with borehole results.<br />
References<br />
F. Vermeersch, J Bernard, O. Leite (2003):<br />
Comparison of various loop geometries <strong>in</strong><br />
<strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>gs on <strong>the</strong> Pyla sand<br />
dune (France), 2 nd MRS Workshop, Orleans<br />
J. Bernard (2006): Instruments and field work to<br />
measure a <strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g with<br />
NUMIS equipment, 3 rd MRS Workshop, Madrid<br />
J. Bernard (2006): Application use of <strong>the</strong> Proton<br />
<strong>Magnetic</strong> <strong>Resonance</strong> method (MRS) for<br />
groundwater <strong>in</strong>vestigations <strong>in</strong> various geological<br />
environments, AGU, San Francisco<br />
J. Bernard (2012): Application use of <strong>the</strong> <strong>Magnetic</strong><br />
<strong>Resonance</strong> Sound<strong>in</strong>g method for groundwater<br />
exploration, ICEEG, Changsha<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Jo<strong>in</strong>t use of MRS and TDEM for characteriz<strong>in</strong>g groundwater recharge <strong>in</strong> <strong>the</strong> Lake Chad<br />
bas<strong>in</strong> 76<br />
Jo<strong>in</strong>t use of MRS and TDEM for characteriz<strong>in</strong>g groundwater recharge <strong>in</strong><br />
<strong>the</strong> Lake Chad bas<strong>in</strong><br />
Boucher 1* M., G. Favreau 2 , M. Descloitres 1 , K. Chalikakis 3 , A. Legchenko 1 , M. Ibrahim 2 , M. Le Coz 2 ,<br />
A.M. Moussa 4<br />
1 IRD / LTHE, Grenoble, France; 2 IRD, UM2 / HSM, Montpellier, France; 3 UAPV / EMMAH, Avignon, France;<br />
4 M<strong>in</strong>istère de l’Hydraulique et de l’Environnement, Z<strong>in</strong>der, Niger. Marie.boucher@ird.fr<br />
Dramatic changes <strong>in</strong> surface area of Lake<br />
Chad, semiarid Africa, are known to have<br />
occurred dur<strong>in</strong>g <strong>the</strong> Holocene and have largely<br />
impacted <strong>the</strong> aquifer recharge at <strong>the</strong> bas<strong>in</strong><br />
scale. Yet, little is known on <strong>the</strong> pattern of <strong>the</strong><br />
aquifer hydrodynamics, thus affect<strong>in</strong>g <strong>the</strong><br />
reliability of groundwater model<strong>in</strong>g (Leduc et<br />
al. 2000). The objective of our study is to<br />
evaluate <strong>the</strong> contribution of <strong>the</strong> jo<strong>in</strong>t use of<br />
MRS and TDEM for <strong>in</strong>vestigat<strong>in</strong>g aquifer<br />
characteristics below and close to <strong>the</strong> Lake.<br />
Two field-surveys were carried out <strong>in</strong> <strong>the</strong><br />
northwestern part of Lake Chad Bas<strong>in</strong>: 1) <strong>in</strong><br />
2008, a detailed 12-km-long profile (117<br />
TDEM and 11 MR sound<strong>in</strong>gs) was carried out<br />
across <strong>the</strong> valley of <strong>the</strong> Komadugu river, one<br />
of <strong>the</strong> 3 tributaries of Lake Chad; 2) 12 TDEM<br />
and MR sound<strong>in</strong>gs were performed at regional<br />
scale (~10 4 km 2 ) <strong>in</strong> May 2010 (a period when<br />
<strong>the</strong> Lake is mostly dry). The MRS<br />
NumisPlus® equipment was used with square<br />
loops of 100 m side length to reach <strong>the</strong><br />
maximum depth of <strong>in</strong>vestigation. High natural<br />
electromagnetic noise was observed dur<strong>in</strong>g<br />
afternoon and night, limit<strong>in</strong>g <strong>the</strong> time w<strong>in</strong>dow<br />
for data acquisition (~from 6:00 until 14:00<br />
local time). MRS data were <strong>in</strong>terpreted us<strong>in</strong>g<br />
Samovar software with 3 alternative <strong>in</strong>version<br />
schemes 1) smooth automatic <strong>in</strong>version; 2)<br />
blocky <strong>in</strong>version by lett<strong>in</strong>g all parameters free<br />
and assum<strong>in</strong>g a one-uniform-layer distribution<br />
of water content; 3) blocky <strong>in</strong>version by fix<strong>in</strong>g<br />
<strong>the</strong> geometry of aquifer accord<strong>in</strong>g to TDEM<br />
results. For TDEM acquisition, <strong>the</strong> light (2 Kg)<br />
Tem-Fast 48 device (AEMR technology,) was<br />
used with co<strong>in</strong>cident Tx/Rx loop of 50×50 m 2 ,<br />
provid<strong>in</strong>g 100-m-deep <strong>in</strong>vestigation. Data were<br />
<strong>the</strong>n <strong>in</strong>verted with <strong>the</strong> Tem-Res software.<br />
The aquifer permeability (KMRS) was computed<br />
us<strong>in</strong>g <strong>the</strong> standard empirical relationship:<br />
� �2 K MRS � Cp ��<br />
MRS T where θMRS is <strong>the</strong> MRS<br />
1<br />
water content, T1 is <strong>the</strong> relaxation time, and Cp<br />
is an empirical pre-factor. In our study, Cp was<br />
calibrated us<strong>in</strong>g results of two short (12h)<br />
pump<strong>in</strong>g tests. A relatively high value of Cp<br />
(~2.10 -7 ) <strong>in</strong> comparison with previous studies<br />
(e.g. Vouillamoz et al. 2007) was obta<strong>in</strong>ed that<br />
may be due to <strong>the</strong> presence of a th<strong>in</strong> (~8 m)<br />
coarse sandy layer usually targeted for<br />
boreholes screen location at depth of ~35 m<br />
below <strong>the</strong> soil surface and hidden for MRS by<br />
a thicker, shallower and less permeable layer<br />
of f<strong>in</strong>e to clayey sands.<br />
MRS results revealed a distribution of aquifer<br />
hydrodynamic properties that depends on <strong>the</strong><br />
distance to surface waters: (1) High θMRS (10-<br />
35%) and KMRS (10 -3 to 10 -2 m/s) values are<br />
evidenced below present-day Lake Chad. (2)<br />
Below <strong>the</strong> former clayey deposits of <strong>the</strong><br />
Megalake Chad, lower θMRS (8-13%) and KMRS<br />
(10 -4 to 10 -3 m/s) values were estimated. These<br />
low values suggest limited aquifer fluxes, <strong>in</strong><br />
accordance with <strong>the</strong> occurrence of paleogroundwater<br />
(determ<strong>in</strong>ed by isotopes) below<br />
<strong>the</strong> clayey pla<strong>in</strong>. (3) Intermediate and<br />
homogenous hydraulic properties (θMRS and<br />
KMRS values <strong>in</strong> <strong>the</strong> ranges of 16 to 25% and<br />
1.10 -3 to 3.10 -3 m/s, respectively) were found<br />
below <strong>the</strong> Komadugu valley, filled with<br />
coarser fluvial sediments. TDEM allowed<br />
estimat<strong>in</strong>g accurately <strong>the</strong> depth of <strong>the</strong> Pliocene<br />
clayey formation (~2 Ω.m) which is supposed<br />
to be <strong>the</strong> aquifer substratum. The variations of<br />
resistivity <strong>in</strong>side aquifer are probably related to<br />
both presence of a variable amount of clay and<br />
variable water sal<strong>in</strong>ity (electrical conductivity<br />
of water vary<strong>in</strong>g from 0.2 mS/m <strong>in</strong> <strong>the</strong><br />
Komadougou valley to 5 mS/m bellow <strong>the</strong><br />
Lake Chad). The comb<strong>in</strong>ation of MRS and<br />
TDEM methods proved to be an important tool<br />
to identify groundwater recharge patterns <strong>in</strong><br />
this poorly documented area.<br />
References<br />
Leduc C, Sabljak S, Taup<strong>in</strong> JD et al. 2000 Recharge of<br />
<strong>the</strong> Quaternary water table <strong>in</strong> <strong>the</strong> northwestern Lake<br />
Chad bas<strong>in</strong> (sou<strong>the</strong>astern Niger) estimated from<br />
isotopes. C.R. Acad. Sci., IIa 330: 355-361.<br />
Vouillamoz JM, Baltassat JM, Girard JF et al. 2007<br />
Hydrogeological experience <strong>in</strong> <strong>the</strong> use of MRS.<br />
Boletín Geológico y M<strong>in</strong>ero 118: 531-550.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Assessment of <strong>the</strong> use of surface NMR to detect <strong>in</strong>ternal erosion and pip<strong>in</strong>g <strong>in</strong> ear<strong>the</strong>n<br />
embankments 77<br />
Assessment of <strong>the</strong> use of surface NMR to detect <strong>in</strong>ternal erosion and pip<strong>in</strong>g<br />
<strong>in</strong> ear<strong>the</strong>n embankments<br />
Trevor Irons 1 , Meghan C. Qu<strong>in</strong>n 2 , Jason R. McKenna 2 , and Yaoguo Li 1<br />
1 Colorado School of M<strong>in</strong>es, 2 U.S. Army Eng<strong>in</strong>eer Research & Development Center<br />
tirons@m<strong>in</strong>es.edu, Meghan.C.Qu<strong>in</strong>n@usace.army.mil, Jason.R.McKenna@usace.army.mil,<br />
ygli@m<strong>in</strong>es.edu<br />
The US Army Corps’ National Inventory of<br />
Dams (2012) currently identifies 26,642 dams<br />
with ei<strong>the</strong>r high or significant hazard potential.<br />
This represents over 30% of <strong>the</strong> structures <strong>in</strong><br />
<strong>the</strong> database. Almost all of <strong>the</strong> dams <strong>in</strong> <strong>the</strong><br />
database are of ear<strong>the</strong>n construction and many<br />
are old and few details are known about <strong>the</strong>ir<br />
construction. Levees present a similar hazard.<br />
There are many failure modes of dams and<br />
levees: <strong>in</strong>ternal erosion and pip<strong>in</strong>g,<br />
overtopp<strong>in</strong>g, undercutt<strong>in</strong>g, and dry-side<br />
erosion. Of <strong>the</strong>se failure modes, <strong>in</strong>ternal<br />
erosion and pip<strong>in</strong>g is one most difficult to<br />
assess, as it cannot be directly observed.<br />
Geophysical methods provide a means to<br />
assess <strong>the</strong>se structures non<strong>in</strong>vasively. As <strong>the</strong>re<br />
is often little <strong>in</strong>formation about <strong>the</strong><br />
construction of <strong>the</strong>se older ear<strong>the</strong>n dams, many<br />
geophysical methods that rely on <strong>in</strong>direct<br />
relationships between material properties and<br />
water content can be unreliable <strong>in</strong> this<br />
application. For <strong>in</strong>stance, <strong>the</strong>re may not be a<br />
large electrical resistivity change associated<br />
with <strong>in</strong>ternal erosion events <strong>in</strong> every dam.<br />
Surface NMR (sNMR) is unique <strong>in</strong> its ability<br />
to directly detect water, and also estimate <strong>the</strong><br />
pore size and hydraulic permeability of media.<br />
For this reason sNMR could be an <strong>in</strong>valuable<br />
tool for non-<strong>in</strong>vasively assess<strong>in</strong>g <strong>in</strong>ternal<br />
erosion <strong>in</strong> dams and levees.<br />
We present sNMR and subsurface seepage<br />
forward modell<strong>in</strong>g results from several ear<strong>the</strong>n<br />
embankment scenarios. A homogeneous<br />
ear<strong>the</strong>n embankment is loaded with a high<br />
level of water until seepage is detected. We<br />
<strong>the</strong>n modelled a series of scenarios of pip<strong>in</strong>g<br />
develop<strong>in</strong>g <strong>in</strong> <strong>the</strong> embankment.<br />
Typical erosional pip<strong>in</strong>g patterns start at <strong>the</strong><br />
toe of <strong>the</strong> embankment and progress back<br />
towards <strong>the</strong> head. As <strong>the</strong> pip<strong>in</strong>g progresses,<br />
significant drop <strong>in</strong> <strong>the</strong> phreatic surface across<br />
<strong>the</strong> embankment develops, and presents a<br />
target for sNMR mapp<strong>in</strong>g.<br />
We assess <strong>the</strong> deployment of co<strong>in</strong>cident and<br />
separated sNMR transmitter and receivers<br />
under chang<strong>in</strong>g field conditions and static<br />
magnetic field orientations. The significant<br />
topography of <strong>the</strong> ear<strong>the</strong>n embankment<br />
requires special care. We address this by<br />
<strong>in</strong>tegrat<strong>in</strong>g around an arbitrary current source<br />
and calculat<strong>in</strong>g <strong>the</strong> magnetic fields generated<br />
by f<strong>in</strong>ite ungrounded electric dipoles along <strong>the</strong><br />
current path. The optimal use of separated or<br />
co<strong>in</strong>cident transmitters and receivers is<br />
affected by <strong>the</strong> static magnetic field<br />
orientation, as well as <strong>the</strong> geometry of <strong>the</strong><br />
ear<strong>the</strong>n embankment. We demonstrate that<br />
under favourable, but plausible, field<br />
conditions, sNMR can provide valuable<br />
<strong>in</strong>formation <strong>in</strong> <strong>the</strong> assessment of ear<strong>the</strong>n<br />
embankment <strong>in</strong>ternal erosion.<br />
References<br />
US Army Corps of Eng<strong>in</strong>eers (2012). National<br />
<strong>in</strong>ventory of dams. http://nid.usace.army.mil/.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
The Applications of MRS for detection of Groundwater-<strong>in</strong>duced disasters , <strong>in</strong> Ch<strong>in</strong>a 78<br />
The Applications of MRS for detection of Groundwater-<strong>in</strong>duced disasters ,<br />
<strong>in</strong> Ch<strong>in</strong>a<br />
L<strong>in</strong> Jun, Duan Q<strong>in</strong>gm<strong>in</strong>g, Fan Tie-hu<br />
College of Instrumentation and Electrical Eng<strong>in</strong>eer<strong>in</strong>g, Jil<strong>in</strong> University, Changchun 130021, Ch<strong>in</strong>a<br />
L<strong>in</strong>_jun@jlu.edu.cn; fth@jlu.edu.cn<br />
Groundwater is one of <strong>the</strong> most important and<br />
<strong>in</strong>dispensable natural resources to human<br />
be<strong>in</strong>gs ei<strong>the</strong>r <strong>in</strong> <strong>in</strong>dusties or daily life.<br />
however it sometimes leads to terrible<br />
catastrophes , such as dam leakage, tunnel<br />
gush<strong>in</strong>g, water-impacted landslide, seawater<br />
<strong>in</strong>trusion, karst collapse, groundwater<br />
pollution, and coalm<strong>in</strong>e goaf-water.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g (MRS), which<br />
is widely used as <strong>the</strong> most effective and direct<br />
approach for groundwater <strong>in</strong>vestigations, , has<br />
also been used for detect<strong>in</strong>g <strong>the</strong> water-<strong>in</strong>duced<br />
disasters .As it has with<strong>in</strong> certa<strong>in</strong> limits been<br />
proved to promot <strong>the</strong> technical supports <strong>in</strong><br />
prevent<strong>in</strong>g losses of water disater that MRS<br />
and o<strong>the</strong>r geophysical methods are efficiently<br />
<strong>in</strong>tegrated. The discussions of <strong>the</strong> detection<br />
methods with MRS as core technique for <strong>the</strong>ir<br />
each features of <strong>the</strong> specific water-<strong>in</strong>duced<br />
disasters are summarized <strong>in</strong> this paper. The<br />
high-resolution 2D MRS technique has been<br />
developed for <strong>the</strong> survey of dike and dam<br />
leakage, <strong>the</strong> 2D MRS-TEM device and MRS-<br />
TEM jo<strong>in</strong>t <strong>in</strong>version are applied to <strong>the</strong><br />
extraction of water body boundary as an valid<br />
solution to karst collapse and m<strong>in</strong>e goaf-water ,<br />
and to <strong>the</strong> determ<strong>in</strong>ation of salt-fresh water<br />
<strong>in</strong>terface of seal<strong>in</strong>e while solv<strong>in</strong>g seawater<br />
<strong>in</strong>trusion. 2D MRS and TEM jo<strong>in</strong>t detection<br />
for seawater <strong>in</strong>trusion was carried out<br />
tentatively <strong>in</strong> Liaodong bay, and <strong>the</strong> <strong>in</strong>terface<br />
between sal<strong>in</strong>e and fresh water <strong>in</strong> <strong>the</strong> transition<br />
zone can be <strong>in</strong>fered by <strong>the</strong> analysis of what <strong>the</strong><br />
<strong>in</strong>terpretation results show. The same k<strong>in</strong>d of<br />
jo<strong>in</strong>t detection with some little po<strong>in</strong>ted<br />
alternations <strong>in</strong> detail was also performed <strong>in</strong><br />
Shanxi, Ch<strong>in</strong>a, among <strong>the</strong> all 13 survey<br />
l<strong>in</strong>es(192 survey po<strong>in</strong>ts) 16 water-rich regions<br />
were ranged by <strong>the</strong> actual survey data, which is<br />
confirmed consistent with <strong>the</strong> eng<strong>in</strong>eer<strong>in</strong>g<br />
geology. On <strong>the</strong> basis of <strong>in</strong>vestigat<strong>in</strong>g <strong>the</strong><br />
properties of key parameter T2* closely<br />
related to <strong>the</strong> porosity of <strong>the</strong> aquifer, a stability<br />
evaluation of side slopes with different<br />
<strong>in</strong>cl<strong>in</strong>ations and conditions of moisture content<br />
by MRS with coils non-horizontally set. Filed<br />
experiment of dam leakage detection<br />
performed on Chuijiajie Dam <strong>in</strong> Liaon<strong>in</strong>g<br />
,Ch<strong>in</strong>a, proves <strong>the</strong> MRS method for dam<br />
leakage be feasible and effective, and basic<br />
conclusions are reached on three leakage<br />
po<strong>in</strong>ts and two <strong>in</strong>filtration areas at each<br />
correspond<strong>in</strong>g depth respectively <strong>in</strong>side <strong>the</strong><br />
dam body. Not only is a brandnew and<br />
productive method presented by <strong>in</strong>troduc<strong>in</strong>g<br />
MRS technique <strong>in</strong>to <strong>the</strong> water-<strong>in</strong>duced disaster<br />
exploration, but <strong>the</strong> safety of <strong>the</strong> people's lives<br />
and property is earnestly guaranteed.<br />
References<br />
Abragam A. The Pr<strong>in</strong>ciples of Nuclear Magnetism<br />
[M]. London: Oxford University, 1961:648.<br />
Guillen A, Legchenko A. Application of L<strong>in</strong>ear<br />
Programm<strong>in</strong>g Techniques to <strong>the</strong> Inversion of<br />
Proton <strong>Magnetic</strong> <strong>Resonance</strong> Measurements for<br />
Water Prospect<strong>in</strong>g from <strong>the</strong> Surface [J]. Journal<br />
of Applied Geophysics, 2002, 50(1-2):149-162.<br />
Legchenko A V, Semenov A G, Shirov M D.<br />
Apparatus for Measur<strong>in</strong>g <strong>the</strong> Parameters of<br />
Water-Bear<strong>in</strong>g Underground Levers (<strong>in</strong><br />
Russian): USSR, 1540515 [P], 1991.2.5.<br />
Legchenko A, Valla P. A Review of <strong>the</strong> Basic<br />
Pr<strong>in</strong>ciples for Proton <strong>Magnetic</strong> <strong>Resonance</strong><br />
Sound<strong>in</strong>g Measurements [J]. Journal of Applied<br />
Geophysics, 2002, 50(1-2):3-19.<br />
Roy J, Lubczynski M. The <strong>Magnetic</strong> <strong>Resonance</strong><br />
Sound<strong>in</strong>g Technique and its Use for<br />
Groundwater Investigations [J]. Hydrogeology<br />
Journal, 2003, 11(4): 455<strong>–</strong>465.<br />
Schirov M, Legchenko A, Creer G. New Direct<br />
Non-Invasive Groundwater Detection<br />
Technology for Australia [J]. Exploration<br />
Geophysics, 1991, 22(2): 333<strong>–</strong>338.<br />
Varian R H. Ground Liquid Prospect<strong>in</strong>g Method<br />
and Apparatus: US, 3019383 [P], 1962.1.30.<br />
Weichman P B, Lavely E M, Ritzwoller M H.<br />
Theory of Surface Nuclear <strong>Magnetic</strong> <strong>Resonance</strong><br />
with Applications to Geophysical Imag<strong>in</strong>g<br />
Problems [J]. Physical Review E, 2000, 62 (1,<br />
Part B): 1290<strong>–</strong>1312.<br />
Yaramanci U, Lange G, Knödel K. Surface NMR<br />
with<strong>in</strong> a Geophysical Study of an Aquifer at<br />
Haldensleben (Germany) [J]. Geophysical<br />
Prospect<strong>in</strong>g, 1999, 47(6): 923<strong>–</strong>943.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Application of surface-NMR to study unfrozen sediments below lakes <strong>in</strong> permafrost<br />
regions 79<br />
Application of surface-NMR to study unfrozen sediments below lakes <strong>in</strong><br />
permafrost regions<br />
Andrew Parsekian 1 , Jan O. Walbrecker 1 , Mike Muller-Petke 2 , Guido Grosse 3 , Krist<strong>in</strong>a<br />
Keat<strong>in</strong>g 4 , L<strong>in</strong> Liu 1 , Benjam<strong>in</strong> Jones 5 and Rosemary Knight 1<br />
1 Stanford University, Department of Geophysics, Stanford, CA, USA<br />
2 Leibniz Institute for Applied Geophysics, Hannover, Germany<br />
3 University of Alaska, Geophyiscal Institute, Fairbanks, AK, USA<br />
4 Rutgers University, Department of Earth and Environmental Sciences, Newark, NJ, USA<br />
5 Alaska Science Center, U.S. Geological Survey, Anchorage, AK<br />
parsekia@stanford.edu<br />
Lakes <strong>in</strong> permafrost landscapes are often<br />
attributed to thaw<strong>in</strong>g of sediments and <strong>the</strong><br />
subsequent pool<strong>in</strong>g of water on <strong>the</strong> surface<br />
(Lachenbruch 1962). Over time, and given<br />
sufficient depth of <strong>the</strong> "<strong>the</strong>rmokarst" lake, such<br />
that it exceeds w<strong>in</strong>ter ice growth, <strong>the</strong> sediment<br />
also thaws result<strong>in</strong>g <strong>in</strong> a volume of unfrozen<br />
material that may extend many tens of meters<br />
below <strong>the</strong> surface with a large fraction of<br />
liquid water known as a thaw bulb. Due to<br />
microbial methanogenisis <strong>in</strong> <strong>the</strong> thaw bulb,<br />
<strong>the</strong>rmokarst lakes have been identified as an<br />
important source of methane to <strong>the</strong> atmosphere<br />
with contributions to global climate change<br />
(Walter et al., 2007). Determ<strong>in</strong><strong>in</strong>g <strong>the</strong> spatial<br />
extent of unfrozen sediment is important to<br />
estimat<strong>in</strong>g <strong>the</strong> methane production potential of<br />
<strong>the</strong>rmokarst lakes; however, measurements of<br />
thaw bulb thickness by direct (i.e. probes and<br />
boreholes) and geophysical methods (e.g. DC<br />
resistivity, GPR) have met with limited success<br />
thus far mostly due to limitations <strong>in</strong> depth<br />
penetration and differentation between frozen<br />
and unfrozen sediment. To understand<br />
hydrology <strong>in</strong> discont<strong>in</strong>uous permafrost regions<br />
it is also important to determ<strong>in</strong>e if thaw bulbs<br />
are hydraulically connected to deep, regional<br />
groundwater (open) or if <strong>the</strong>y are bounded by<br />
permafrost on all sides (closed). We have<br />
identified surface-NMR as a tool for<br />
<strong>in</strong>vestigat<strong>in</strong>g thaw bulb sediments due to <strong>the</strong><br />
large volume of water present <strong>in</strong> thaw bulb<br />
sediments and <strong>the</strong> appropriate depth of<br />
<strong>in</strong>vestigation <strong>in</strong> excess of 100 m. To<br />
demonstrate <strong>the</strong> ability of surface-NMR to<br />
make <strong>the</strong> desired measurements of water<br />
content and thaw bulb depth, we conducted<br />
surface-NMR surveys on <strong>the</strong>rmokarst lakes<br />
near Fairbanks, Alaska, USA. Measurements<br />
were made on frozen lakes dur<strong>in</strong>g <strong>the</strong> w<strong>in</strong>ter to<br />
facilitate deployment of <strong>the</strong> <strong>in</strong>strument over<br />
<strong>the</strong> deepest portions of <strong>the</strong> lakes. Figure-eight<br />
transmitt<strong>in</strong>g/receiv<strong>in</strong>g loop configurations<br />
were used <strong>in</strong> conjunction with reference loops<br />
<strong>in</strong> a multi-channel configuration to compensate<br />
for electromagnetic noise orig<strong>in</strong>at<strong>in</strong>g from<br />
nearby power l<strong>in</strong>es <strong>in</strong> <strong>the</strong> Fairbanks area. The<br />
data were <strong>in</strong>verted us<strong>in</strong>g a 1D blocky <strong>in</strong>version<br />
that simultaneously fit <strong>the</strong> NMR amplitude and<br />
T2 * decay time data. Four layers were<br />
sufficient to obta<strong>in</strong> good fit to <strong>the</strong> data. From<br />
top to bottom <strong>the</strong>se layers correspond to lake<br />
ice, lake water, thaw bulb sediments and<br />
permafrost. At a 6 m deep lake, <strong>the</strong> thaw bulb<br />
was deeper than <strong>the</strong> maximum sensitive depth<br />
of <strong>the</strong> surface-NMR measurement (>23 m)<br />
given <strong>the</strong> figure-eight configuration. At a<br />
smaller, 1.2 m deep lake, a thaw bulb depth of<br />
4 m below <strong>the</strong> lake surface was observed. For<br />
comparison, we made measurements us<strong>in</strong>g<br />
square loops at a terrestrial permafrost location<br />
with borehole control for ground truth<br />
purposes. The measurement at this location<br />
<strong>in</strong>dicated unfrozen sediments below 30 m and<br />
also suggests sensitivity to <strong>the</strong> low water<br />
content (θ
Usage of <strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g (MRS) for atta<strong>in</strong><strong>in</strong>g hydrogeological profiles<br />
(Havelland, Brandenburg) 80<br />
Usage of <strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g (MRS) for atta<strong>in</strong><strong>in</strong>g<br />
hydrogeological profiles (Havelland, Brandenburg)<br />
K. Seibertz 1 , T. Gün<strong>the</strong>r 2 , S. Costabel 3<br />
1 Mart<strong>in</strong>-Lu<strong>the</strong>r-University Halle/Wittenberg<br />
2 Leibniz Institute for Applied Geophysics (<strong>LIAG</strong>), Hannover<br />
3 Federal Institute for Geosciences and Natural Resources, Berl<strong>in</strong><br />
klodwig.seibertz@student.uni-halle.de<br />
The knowledge about aquifer properties <strong>in</strong> <strong>the</strong><br />
near-surface underground is of great<br />
importance for different types of questions,<br />
e.g. for groundwater modell<strong>in</strong>g. Therefore<br />
knowledge about <strong>the</strong> hydraulic conductivity,<br />
water content and of course <strong>the</strong> location of<br />
aquifers has to be ga<strong>the</strong>red. Often this<br />
<strong>in</strong>formation is taken from drill<strong>in</strong>g cores or<br />
groundwater observation-wells, which are<br />
expensive and not always applicable.<br />
The ma<strong>in</strong> goal of this work was to show that<br />
<strong>the</strong> feasibility of magnetic resonance sound<strong>in</strong>g<br />
(MRS) <strong>in</strong> <strong>the</strong> vic<strong>in</strong>ity of settlements <strong>in</strong><br />
geologically less prospected areas is given and<br />
fur<strong>the</strong>rmore that it could be used as<br />
<strong>in</strong>expensive and fast method to <strong>in</strong>crease <strong>the</strong><br />
density of <strong>the</strong> hydro-/geological <strong>in</strong>formation of<br />
<strong>the</strong> underground <strong>in</strong> addition to exist<strong>in</strong>g<br />
drill<strong>in</strong>gs.<br />
Therefore, MRS was applied <strong>in</strong> Brädikow, a<br />
village <strong>in</strong> Havelland/Brandenburg. The<br />
geological and hydro-geological <strong>in</strong>formations<br />
where ga<strong>the</strong>red from a hydro-geological<br />
profile created by LBGR (Landesamt für<br />
Bergbau, Geologie und Rohstoffe<br />
Brandenburg). MRS was applied along <strong>the</strong><br />
hydro-geological profile and f<strong>in</strong>ally <strong>the</strong> data of<br />
four successful sound<strong>in</strong>gs were analysed. The<br />
collected data was analysed for water content,<br />
hydraulic conductivity, as well as for position<br />
of <strong>the</strong> aquifers. Hydraulic conductivity was<br />
calculated from T2* decay times us<strong>in</strong>g <strong>the</strong><br />
empiric equation by Seevers (1966). The<br />
needed calibration factor (CS) is generally set<br />
to values <strong>in</strong> <strong>the</strong> range of 30-326*10 -4 m/s 2<br />
(Mohnke & Yaramanci 2008) but <strong>in</strong> this case it<br />
was set to 15*10 -4 m/s 2 , a value obta<strong>in</strong>ed by<br />
Dlugosch et al. (2011) for <strong>the</strong> closely located<br />
test-site Nauen. The collected data was<br />
comb<strong>in</strong>ed to a hydro-geological profile, which<br />
was compared to <strong>the</strong> LBGR profile. To<br />
overcome <strong>the</strong> problems of noise from <strong>the</strong> near<br />
settlement, different noise cancellation<br />
methods were applied.<br />
In fact, <strong>the</strong> comparison of <strong>the</strong> hydrogeological<br />
profile with <strong>the</strong> MRS results shows a good up<br />
to very good accordance to <strong>the</strong> vertical<br />
distributions of <strong>the</strong> two aquifers with<strong>in</strong> <strong>the</strong><br />
survey<strong>in</strong>g area. The results allow a more<br />
detailed re<strong>in</strong>terpretation of <strong>the</strong> formerly, by<br />
LBGR, published data.<br />
We conclude that MRS nowadays is an<br />
<strong>in</strong>expensive and fast applicable technology of<br />
non-<strong>in</strong>vasive geophysics that can be used <strong>in</strong><br />
addition to conventional drill<strong>in</strong>g to <strong>in</strong>crease <strong>the</strong><br />
knowledge about near-surface underground<br />
properties.<br />
References<br />
Dlugosch, R., Müller-Petke, M., Gün<strong>the</strong>r, T.,<br />
Yaramanci, U. (2011): Extended prediction of<br />
hydraulic conductivity from NMR measurements<br />
for coarse material. Ext. Abstr. EAGE Near<br />
Surface Conference, Leicester.<br />
Mohnke, O., Yaramanci, U. (2008): Pore size<br />
distributions and hydraulic conductivities of<br />
rocks derived from <strong>Magnetic</strong> <strong>Resonance</strong><br />
Sound<strong>in</strong>g relaxation data us<strong>in</strong>g multi-exponential<br />
decay time <strong>in</strong>version. In : Journal of Applied<br />
Geophysics 66, 73-81.<br />
Seevers, D. (1966): A nuclear magnetic method for<br />
determ<strong>in</strong><strong>in</strong>g <strong>the</strong> permeability of sandstones.<br />
Conference of Society of professional Well Log<br />
Analysts.<br />
Seibertz, K. (2011): Möglichkeiten zur Aquiferabbildung<br />
mit Magnet Resonanz Sondierung<br />
(MRS) im Vergleich zum hydrogeologischen<br />
Schnitt Brädikow <strong>–</strong> Witzker See (<strong>in</strong> German).<br />
BSc <strong>the</strong>sis, Kiel University.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Calibration MRS Hydrodynamic Parameters Measurements from Pump<strong>in</strong>g Tests <strong>in</strong> Inner-<br />
Mongollia of Ch<strong>in</strong>a 81<br />
Calibration MRS Hydrodynamic Parameters Measurements from Pump<strong>in</strong>g<br />
Tests <strong>in</strong> Inner-Mongollia of Ch<strong>in</strong>a<br />
LIN Jun 1 , SUN Shu-Q<strong>in</strong> 1 *, ZHAO Yi-P<strong>in</strong>g 2 , DUAN Q<strong>in</strong>g-M<strong>in</strong>g 1 , LI Hai-Sheng 2<br />
1,Lab. of Geo-Exploration and Instrumentation M<strong>in</strong>istry of Education of Ch<strong>in</strong>a, College of Instrumentation and<br />
Electrical Eng<strong>in</strong>eer<strong>in</strong>g Jil<strong>in</strong> University, Changchun, Ch<strong>in</strong>a, 130061; 2. Grad uate School of Department of<br />
Water Resources, Inne r-Mongolia 010000, Ch<strong>in</strong>a<br />
L<strong>in</strong>_jun@jlu.edu.cn, sunsq@jlu.edu.cn<br />
Introduction <strong>Magnetic</strong> resonance sound<strong>in</strong>gs<br />
(MRS) have been performed to characterize<br />
<strong>the</strong> aquifer and measure groundwater <strong>in</strong> Inner-<br />
Mongolia of Ch<strong>in</strong>a. An extensive geological<br />
study us<strong>in</strong>g MRS equipment was performed<br />
dur<strong>in</strong>g 2001 to 2005. By compar<strong>in</strong>g MRS<br />
measurements with pump<strong>in</strong>g tests, we could<br />
establish an empirical relationship between<br />
MRS and hydrodynamic parameters, and<br />
establish a methodology for MRS<br />
characterization over potential groundwater<br />
exploration drill<strong>in</strong>g sites <strong>in</strong> Inner-Mongolia.<br />
Methodology A methodological study for<br />
calculat<strong>in</strong>g <strong>the</strong> hydraulic conductivity and<br />
transmissivity from <strong>the</strong> automatic <strong>in</strong>version<br />
process provided by <strong>the</strong> Samovar software,<br />
study <strong>the</strong> relationship between <strong>the</strong> hydraulic<br />
conductivity and <strong>the</strong> pump<strong>in</strong>g capacity, <strong>the</strong>re<br />
are different equations to calculate <strong>the</strong><br />
hydraulic conductivity from pump capacity for<br />
phreatic water and conf<strong>in</strong>ed water, establish an<br />
empirical model to calculate <strong>the</strong> hydraulic<br />
conductivity of <strong>the</strong> several boreholes for<br />
phreatic water and conf<strong>in</strong>ed water.<br />
Field test A field measurement us<strong>in</strong>g <strong>the</strong><br />
NUMISplus system developed by IRIS<br />
company was carried out <strong>in</strong> Wulateqi of <strong>in</strong>nermongolia.<br />
There are two large zones of<br />
fracture <strong>in</strong> <strong>the</strong> test area, <strong>the</strong> purpose of this<br />
measurement is to explore <strong>the</strong> aquifer depth<br />
and thickness at <strong>the</strong> both sides of zones of<br />
fracture. More than one hundred MRS tests<br />
were carried out, <strong>the</strong> MRS <strong>in</strong>version results<br />
<strong>in</strong>clud<strong>in</strong>g <strong>the</strong> aquifer depth and thickness,<br />
water content , relaxation time constant, <strong>the</strong><br />
hydraulic conductivity and <strong>the</strong> transmissivity<br />
were analyzed.<br />
Summary and Conclusions Based on MRS<br />
measurements and borehole data, an empirical<br />
relationship was established between MRS<br />
results and pump<strong>in</strong>g test transmissivity. The<br />
methodology derived from this study was<br />
successfully applied to new potential drill<strong>in</strong>g<br />
sites for dr<strong>in</strong>k<strong>in</strong>g water supply <strong>in</strong> this terra<strong>in</strong>.<br />
References<br />
Juan L. Plata, Félix M. Rubio, The use of MRS <strong>in</strong><br />
<strong>the</strong> determ<strong>in</strong>ation of hydraulic transmissivity:<br />
The case of alluvial aquifers, Journal of Applied<br />
Geophysics. 2008 (66):128<strong>–</strong>139<br />
Wiete Schoenfelder, Hans-Re<strong>in</strong>hard Gläser, et al.,<br />
Two-dimensional NMR relaxometry study of<br />
pore space characteristics of carbonate rocks<br />
from a Permian aquifer Journal of Applied<br />
Geophysics. 2008 (65): 21<strong>–</strong>29<br />
Balzar<strong>in</strong>i, M., Brancol<strong>in</strong>i, A., et al., Permeability<br />
estimation from NMR<br />
diffusionmeasurements <strong>in</strong> reservoir rocks.<strong>Magnetic</strong><br />
<strong>Resonance</strong> Imag<strong>in</strong>g. 1998, 16:601<strong>–</strong>603.<br />
Banavar, J.R., Schartz, L.M., <strong>Magnetic</strong> resonance<br />
as a probe of permeability <strong>in</strong> porous media.<br />
Physical Review Letters. 1987.58 (14):1411-<br />
1414.<br />
Boucher M., Favreau G., et al., Estimat<strong>in</strong>g specific<br />
yield and transmissivity with magnetic resonance<br />
sound<strong>in</strong>g <strong>in</strong> an unconf<strong>in</strong>ed sandston aquifer<br />
(Niger), Hydrogeology Journal. 2009,<br />
doi:10.1007/s10040-009-0447-x.<br />
Edmilson Helton Rios, Paulo Frederico de Oliveira<br />
Ramos, Model<strong>in</strong>g rock permeability from NMR<br />
relaxation data by PLS regression, Journal of<br />
Applied Geophysics. 2011 (75):631-637<br />
Yaramanci, U., Lange, G., et al., 2002. Aquifer<br />
characterization us<strong>in</strong>g surface NMR jo<strong>in</strong>tly with<br />
o<strong>the</strong>r geophysical techniques at <strong>the</strong> Nauen/Berl<strong>in</strong><br />
test site. Journal of Applied Geophysics 2002.<br />
(50):47-65<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
Characteristics and Examples of MRS Signals <strong>in</strong> Good Conductive Areas 82<br />
Characteristics and Examples of MRS Signals <strong>in</strong> Good Conductive Areas<br />
Kai Wang, Zhenyu Li, Yao Wang, Hao Liu, Peng Wang<br />
Institute of Geophysics and Geomatics, Ch<strong>in</strong>a University of Geosciences, Wuhan, PRC<br />
841651351@qq.com<br />
MRS is only geophysical method which is<br />
direct to f<strong>in</strong>d water <strong>in</strong> <strong>the</strong> world at present. So<br />
MRS is widely used for groundwater<br />
exploration and aquifer characterization. S<strong>in</strong>ce<br />
this is an electromagnetic method, <strong>the</strong><br />
excitation magnetic field depends on <strong>the</strong><br />
resistivity of <strong>the</strong> subsurface. Therefore, <strong>the</strong><br />
resistivity has to be taken <strong>in</strong>to account <strong>in</strong> <strong>the</strong><br />
application.<br />
This paper ma<strong>in</strong>ly discusses <strong>the</strong> effect of<br />
resistivity to MRS signals. In MRS signals,<br />
resistivity br<strong>in</strong>gs φ0 , which is decided by E0.<br />
So <strong>the</strong> effect of resistivity can be discussed by<br />
E0-q curves and φ0 -q curves.<br />
We do <strong>the</strong> forward to get <strong>the</strong> φ0 <strong>–</strong>q curves and<br />
E0-q curves. And we focus on <strong>the</strong> trend of<br />
phase with <strong>the</strong> formation resistivity. We select<br />
<strong>the</strong> symbol of its extreme po<strong>in</strong>t, and that is <strong>the</strong><br />
outlier. The results show that <strong>the</strong> phase<br />
changes with variations of <strong>the</strong> formation<br />
resistivity. The lower <strong>the</strong> resistivity is, <strong>the</strong><br />
greater <strong>the</strong> phase value is.<br />
Then we do an example of MRS signals <strong>in</strong><br />
good conductive areas. The project is done <strong>in</strong><br />
sal<strong>in</strong>e-alkali soil. The sal<strong>in</strong>ity of soil is big, so<br />
<strong>the</strong> resistivity is small. And phases are large<br />
negative value. It can prove <strong>the</strong> resistivity of<br />
<strong>the</strong> earth is low. Consequently, <strong>the</strong> <strong>in</strong>version<br />
obta<strong>in</strong>ed by general methods is affected. We<br />
should notice it.<br />
At last, we th<strong>in</strong>k it significant. The lack of<br />
conventional <strong>in</strong>version method can be found<br />
by understand<strong>in</strong>g <strong>the</strong> impact of <strong>the</strong> formation<br />
resistivity to MRS signal, which can guide us<br />
to improve <strong>the</strong> <strong>in</strong>version method.<br />
References<br />
Chengyong Y<strong>in</strong>g. (1998): Forward calculation of<br />
<strong>the</strong> NMR signals (D).CUG.<br />
Yim<strong>in</strong> Chen. (2010): Relationship between phase of<br />
NMR signals and conductivity of stratum<br />
(D).CUG.<br />
Yul<strong>in</strong>g Pan, Changda Zhang. (2000): Theories and<br />
methods of f<strong>in</strong>d<strong>in</strong>g water by SNMR(M).CUG.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012
The Experimental Study of MRS Method <strong>in</strong> Plateau Permafrost Region 83<br />
The Experimental Study of MRS Method <strong>in</strong> Plateau Permafrost Region<br />
Jiagang Zhang, Zhenyu Li, Yunhao Guan, Yuanjie Li, Jianwei Pan<br />
Institute of Geophysics and Geomatics, Ch<strong>in</strong>a University of Geosciences, Wuhan, PRC<br />
zhang_jiagang@126.com<br />
<strong>Magnetic</strong> <strong>Resonance</strong> Sound<strong>in</strong>g (MRS) is <strong>the</strong><br />
only geophysical method currently which is<br />
specially designed for direct water detection,<br />
and this new technique has wide applications<br />
<strong>in</strong> many fields <strong>in</strong> recent years. However, due to<br />
only 30-year development history, <strong>the</strong><br />
researches of this method ma<strong>in</strong>ly focus on<br />
common environments, while <strong>the</strong> application<br />
<strong>in</strong> high-pressure environments, such as plateau<br />
permafrost region, is excluded. The spatial<br />
distribution of permafrost zone is of<br />
importance to <strong>the</strong> study of <strong>the</strong> existence of<br />
terrigenous gas hydrate, <strong>the</strong> exploration of<br />
which becomes an <strong>in</strong>ternational hotspot<br />
academic issue recently, with <strong>the</strong> <strong>in</strong>creas<strong>in</strong>g<br />
demand for energy sources globally.<br />
Several works have been done regard<strong>in</strong>g on<br />
MRS applied <strong>in</strong> permafrost zone. Firstly, <strong>the</strong><br />
NMR signals of permafrost samples <strong>in</strong> <strong>the</strong> lab<br />
would be acquired and analysed so that <strong>the</strong><br />
change laws of parameters of signals can be<br />
drawn. And <strong>the</strong>n, experimental work has been<br />
carried out <strong>in</strong> <strong>the</strong> field to acquire NMR signals<br />
<strong>in</strong> permafrost zone, <strong>the</strong>reby determ<strong>in</strong><strong>in</strong>g<br />
connotations of signals curses accord<strong>in</strong>g to <strong>the</strong><br />
results <strong>in</strong> <strong>the</strong> lab. Meanwhile, <strong>the</strong> comparison<br />
with drill<strong>in</strong>g results <strong>in</strong> <strong>the</strong> same positions<br />
shows that two groups keep consistent<br />
basically, especially <strong>the</strong> determ<strong>in</strong>ation of <strong>the</strong><br />
lower limit of permafrost, so it can be verified<br />
<strong>the</strong> feasibility that <strong>Magnetic</strong> <strong>Resonance</strong><br />
Sound<strong>in</strong>g could be applied <strong>in</strong> plateau<br />
permafrost region. Consequently, large-scale<br />
applications <strong>in</strong> some experimental zone have<br />
been conducted to deduce <strong>the</strong> profile of <strong>the</strong><br />
lower limit of permafrost <strong>in</strong> this area. At <strong>the</strong><br />
same time, several issues has been discussed,<br />
<strong>in</strong>clud<strong>in</strong>g <strong>the</strong> work mode of MRS applied <strong>in</strong><br />
this special environment, <strong>the</strong> problem about<br />
detection depth, as well as <strong>the</strong> way to elim<strong>in</strong>ate<br />
noise <strong>in</strong>terference.<br />
References<br />
Changda Zhang, Zhenyu Li, Yul<strong>in</strong>g Pan. (2011):<br />
Development of MR Sound<strong>in</strong>g Technology.<br />
Ch<strong>in</strong>ese Journal of Eng<strong>in</strong>eer<strong>in</strong>g Geophysics, 8<br />
(3): 314-322.<br />
Hongtao Zhang, Yonghai Zhu. (2011): Survey and<br />
research on gas hydrate <strong>in</strong> permafrost region of<br />
Ch<strong>in</strong>a. Geological Bullet<strong>in</strong> of Ch<strong>in</strong>a, 30 (12):<br />
1809-1815.<br />
Sloan, E. Dendy. (2003): Fundamental pr<strong>in</strong>ciples<br />
and application of natural gas hydrates [J].<br />
Nature, 426 (20): 353-359.<br />
Yaramanci U. (2004): New technologies <strong>in</strong> ground<br />
water exploration. Surface Nuclear Magnctic<br />
<strong>Resonance</strong>, 2(2): 109-120.<br />
Youhai Zhu, Yongq<strong>in</strong> Zhang. (2009): Gas Hydrates<br />
<strong>in</strong> <strong>the</strong> Qilian Mounta<strong>in</strong> Permafrost, Q<strong>in</strong>ghai,<br />
Northwest Ch<strong>in</strong>a. Acta Geologica S<strong>in</strong>ica, 83<br />
(11): 1762-1771.<br />
<strong>Magnetic</strong> <strong>Resonance</strong> <strong>in</strong> <strong>the</strong> <strong>Subsurface</strong> <strong>–</strong> 5 th <strong>International</strong> Workshop on <strong>Magnetic</strong> <strong>Resonance</strong><br />
Hannover, Germany, 25 <strong>–</strong> 27 September 2012