Airborne Gravity 2010 - Geoscience Australia
Airborne Gravity 2010 - Geoscience Australia
Airborne Gravity 2010 - Geoscience Australia
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
<strong>Airborne</strong> <strong>Gravity</strong> <strong>2010</strong><br />
Abstract<br />
Recent developments with Air-FTG ®<br />
Colm A. Murphy 1<br />
1 Bell Geospace Limited (cmurphy@bellgeo.com)<br />
Air-FTG ® has enjoyed considerable success worldwide for the period since the <strong>Airborne</strong> <strong>Gravity</strong> 2004<br />
Workshop on both mineral and petroleum exploration projects. Improved acquisition and data<br />
processing procedures have been pivotal in its ability to produce fast and reliable results that allow the<br />
end user to make cost effective decisions on their exploration programmes.<br />
Noise level reduction has been achieved through installation aboard slower moving and more stable<br />
platforms. Airships offer a platform that yielded a Tzz detectability of 1 to 1.5 Eo over 100 m spatial<br />
wavelengths in 2006. The current platform of choice for Air-FTG ® technology is the fixed wing BT67<br />
aircraft yielding 2 to 3 Eo over 200 m spatial wavelengths detectability for Tzz, which represents a<br />
significant improvement from the 5 to 6 Eo over 400 m spatial wavelengths reported in 2004.<br />
Concurrent with improvements to data acquisition, new data processing tools have been developed to<br />
better extract geological signature patterns and suppress residual systematic noise. The concept of<br />
Full Tensor Noise Reduction (FTNR) was introduced in 2006. FTNR exploits the properties of the full<br />
tensor to isolate signal from noise in each of the Tensor components. The benefits are remarkable and<br />
contribute enormously to the fast turnaround on Air-FTG ® survey programmes, often within days of<br />
survey completion.<br />
The benefits of the FTNR technique rest with data interpretation. The introduction of an invariant<br />
analysis technique in 2007 allows the end user to quickly generate target anomaly and lineament<br />
maps directly from processed data.<br />
These improvements to Air-FTG ® technology have contributed to its acceptance as a viable<br />
exploration tool by not only fast tracking identification of target geology but mapping their geological<br />
setting in a timely manner.<br />
Introduction<br />
Air-FTG ® is a much used technology on both mineral and petroleum exploration projects around the<br />
world. The successful deployment has seen the technology used for both green and brown field<br />
exploration programmes as explorers expand their activities in the search for new resources. There<br />
are many factors that impact the choice of system from technical to logistical, with Air-FTG ® proving to<br />
be competitive because the system provides high resolution and high S/N data on a consistent basis<br />
and is able to deliver workable products in a timely fashion, often within weeks upon end of<br />
acquisition.<br />
When first introduced, the technology attained a 5 Eo resolution over 400 to 500 m wavelengths<br />
(Hammond and Murphy, 2003). Hatch (2004) confirmed these figures through his assessment of the<br />
technology on survey work performed late 2003. This represented a significant achievement for such a<br />
new technology. However, many improvements have been made since.<br />
It was recognised early that to make significant in-roads to improving data quality, the technology<br />
needed to be installed on a slower moving and more stable platform. Data quality would improve<br />
because such a platform would induce less vertical accelerations caused by aircraft turbulence on the<br />
instrument. The resultant effect was an improved data quality to 3 Eo over 300 m wavelengths<br />
reported by Murphy et al. (2006). In addition, new software tools for QC and processing were<br />
developed to take advantage of the improved data quality. The use of invariant analysis techniques<br />
(Murphy and Brewster, 2007) permitted the end user to directly extract geological target and lineament<br />
maps from Air-FTG ® data.<br />
142