03.09.2014 Views

Crisman Annual Report 2009 - Harold Vance Department of ...

Crisman Annual Report 2009 - Harold Vance Department of ...

Crisman Annual Report 2009 - Harold Vance Department of ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

<strong>Harold</strong> <strong>Vance</strong> <strong>Department</strong> <strong>of</strong> Petroleum Engineering<br />

at Texas A&M University<br />

<strong>2009</strong> <strong>Annual</strong> <strong>Report</strong><br />

End <strong>of</strong> Coreflood for 3000 ppm gel:<br />

End <strong>of</strong> Coreflood for 10,000 ppm gel:<br />

Pure CO 2<br />

flood image (after 1.6 PV CO 2<br />

injected)<br />

Viscosified CO 2<br />

flood image (after 1.3 PV CO 2<br />

injected)<br />

0<br />

ΔP<br />

(psi/ft)<br />

0.50<br />

270 90<br />

0.06<br />

180<br />

Halliburton Center for Unconventional Resources<br />

Chevron Center for Well Construction and Production<br />

Schlumberger Center for Reservoir Description and Dynamics<br />

Center for Energy, Environment, and Transportation Innovation


<strong>Crisman</strong> Institute for Petroleum Research<br />

<strong>Harold</strong> <strong>Vance</strong> <strong>Department</strong> <strong>of</strong> Petroleum Engineering at Texas A&M University<br />

<strong>2009</strong> <strong>Annual</strong> <strong>Report</strong><br />

Halliburton Center for Unconventional Resources<br />

Chevron Center for Well Construction and Production<br />

Schlumberger Center for Reservoir Description and Dynamics<br />

Center for Energy, Environment, and Transportation Innovation


Issue 3, February 2010<br />

Stephen A. Holditch<br />

Director<br />

Nancy H. Luedke<br />

Editor<br />

<strong>Harold</strong> <strong>Vance</strong> <strong>Department</strong> <strong>of</strong> Petroleum Engineering<br />

3116 TAMU<br />

College Station TX 77843-3116<br />

979.845.2255<br />

© 2010 <strong>Harold</strong> <strong>Vance</strong> <strong>Department</strong> <strong>of</strong> Petroleum Engineering<br />

at Texas A&M University. All rights reserved.<br />

Kathy Beladi<br />

Editor<br />

Email: info@pe.tamu.edu<br />

Cover images (clockwise from top left): Gel strength study and comparison <strong>of</strong> flood fronts, <strong>Report</strong> 3.4.4, pg 78; Coreholer connected to slimtube, <strong>Report</strong><br />

1.7.3, pg 44; Steam chamber temperature distribution image, <strong>Report</strong> 1.3.13, pg. 30; Structural permeability diagram for Barnett Shale, <strong>Report</strong> 2.5.10,<br />

pg. 61; Medium resolution 75 layer 3D geologic model, <strong>Report</strong> 3.1.22, pg. 71.<br />

2<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Contents<br />

Vision ........................................................................................................................................ 7<br />

Mission ...................................................................................................................................... 7<br />

Objectives ................................................................................................................................. 7<br />

Summary ................................................................................................................................... 8<br />

Membership History................................................................................................................. 10<br />

Meetings .................................................................................................................................. 11<br />

Summary <strong>of</strong> Research Results<br />

Casing Failure ............................................................................................................................ 13<br />

An Advisory System for Selecting Drilling Technologies and Methods in Tight Gas Reservoirs ................. 14<br />

Assessment <strong>of</strong> API Thread Connections under Tight Gas Well Conditions ............................................ 15<br />

Gas Shales – Geomechanics/Completions ...................................................................................... 17<br />

PRISE – Petroleum Resource Investigation Summary and Evaluation ................................................. 18<br />

An Investigation <strong>of</strong> Regional Variations <strong>of</strong> Barnett Shale Reservoir Properties, and Resulting Variability<br />

<strong>of</strong> Hydrocarbon Composition and Well Performance ...................................................................... 19<br />

Gas Shales Simulation and Production Data Analysis ....................................................................... 20<br />

Characterization <strong>of</strong> Rock Transport Properties in Tight Gas and Shale ................................................. 22<br />

Rate Transient Analysis in Shale Gas Reservoirs with Transient Linear Behavior ................................... 23<br />

An Analytical Approach to Model Shale Gas Reservoir Flow Including Desorption Effects ....................... 24<br />

Water Production Issues in the Barnett Shale ................................................................................. 25<br />

Enhanced Oil Refining Technology through E-Beam Thermal Cracking ................................................ 27<br />

Experimental Investigation <strong>of</strong> Caustic Steam Injection for Heavy Oils ................................................ 29<br />

Experimental and Simulation Modeling Studies <strong>of</strong> Steam Assisted Gravity .......................................... 30<br />

In-Situ Oil Upgrading using Tetralin (C 10<br />

H 12<br />

) Hydrogen Donor and Fe(acac) 3<br />

Catalyst at Steam Injection<br />

Pressure and Temperature ........................................................................................................ 31<br />

Artificial Geothermal Energy Potential <strong>of</strong> Steam-Flooded Heavy Oil Reservoirs ..................................... 33<br />

Study <strong>of</strong> Solvent-Based Emulsion Injection to Improve Sweep and Displacement Efficiency in Heavy<br />

Oil Reservoir ........................................................................................................................... 34<br />

Investigation <strong>of</strong> Hybrid Steam-Solvent Processes to Increase Efficiency <strong>of</strong> Thermal Oil Recovery<br />

Methods ................................................................................................................................. 36<br />

Experimental Studies <strong>of</strong> Steam Injection with Surfactant for Enhancing Heavy Oil Recovery after<br />

Waterflooding ......................................................................................................................... 38<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

3


Combustion Assisted Gravity Drainage (CAGD): An In-Situ Combustion Method to Recover Heavy<br />

Oil and Bitumen from Geologic Formations using a Horizontal Injector-Producer Pair ........................ 40<br />

Well Spacing and Infill Drilling in Coalbed Methane Reservoirs .......................................................... 42<br />

Drilling through Gas Hydrate Formations ........................................................................................ 43<br />

Experimental and Numerical Simulation Studies to Evaluate Improvement <strong>of</strong> Light Oil Recovery by<br />

WACO 2<br />

and SWACO 2<br />

in Fractured Carbonate Reservoirs ................................................................ 44<br />

Enhanced Oil Recovery <strong>of</strong> Viscous Oil by Injection <strong>of</strong> Water-in-Oil Emulsions ....................................... 46<br />

Managed Pressure Drilling Candidate Selection ............................................................................... 47<br />

Alternate Power and Energy Storage/Reuse for Drilling Rigs: Reduced Cost and Lower Emissions<br />

Provide Lower Footprint for Drilling Operations ............................................................................ 48<br />

Cement Fatigue Failure and HPHT Well Integrity .............................................................................. 49<br />

Propagation <strong>of</strong> Induced Hydraulic Fractures near Pre-Existing Fractures ............................................. 50<br />

Using Downhole Temperature Measurement to Assist Reservoir Characterization and Optimization ......... 51<br />

Optimization <strong>of</strong> Horizontal Well Performance in Low-Permeability Gas Reservoirs ................................. 53<br />

Decision Matrix for Liquid Loading in Gas Wells for Cost/Benefit Analyses <strong>of</strong> Lifting Options (Part 2) ....... 54<br />

Investigation <strong>of</strong> Swirl Flows Applied to the Oil and Gas Industry ........................................................ 55<br />

Potential for CO 2<br />

Sequestration and Enhanced Coalbed Methane Production, NW Black Warrior Basin ..... 57<br />

Transient Multiphase Sand Transport in Horizontal Wells ................................................................... 58<br />

Performance Driven Hydraulic Fracture Design for Deviated Wells ...................................................... 59<br />

Carbonate Heterogeneity and Acid Fracture Performance ................................................................. 60<br />

Modeling and Analysis <strong>of</strong> Reservoir Response to Stimulation by Water Injection .................................. 61<br />

Fracture Aperture Variation Caused by Reactive Transport <strong>of</strong> Silica and<br />

Poro-Thermoelastic Effect ......................................................................................................... 62<br />

Rheological Properties <strong>of</strong> a New Class <strong>of</strong> Viscoelastic Surfactant ........................................................ 63<br />

Acid Hydrolysis <strong>of</strong> Carboxybetaine Viscoelastic Surfactant ................................................................ 65<br />

Evaluation <strong>of</strong> Polymer-Based In-Situ Gelled Acids during Well Stimulation .......................................... 66<br />

Modeling <strong>of</strong> Discrete Fracture Network using Voronoi Grid System ..................................................... 68<br />

Thermo-Poroelastic Finite Element Analysis <strong>of</strong> Rock Deformation and Damage .................................... 70<br />

Application <strong>of</strong> Adaptive Gridding and Upscaling for Improved Tight Gas Reservoir Simulation ................ 71<br />

Measurement and Correlation <strong>of</strong> Gas Viscosities at High Pressures and High Temperatures ................... 72<br />

Measurement <strong>of</strong> Gas Viscosity at High Pressures and High Temperatures ............................................ 73<br />

4<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Numerical Modeling <strong>of</strong> Fracture Permeability Change in Naturally Fractured Reservoirs using a Fully<br />

Coupled Displacement Discontinuity Method ............................................................................... 75<br />

Improved Permeability Predictions using Multivariate Analysis Methods .............................................. 77<br />

CO 2<br />

Mobility Control using Cross-Linked Gel and CO 2<br />

Viscosifiers ....................................................... 78<br />

Stochastic History Matching, Forecasting, and Production with the Ensemble Kalman Filter ................... 79<br />

Sustainable Carbon Sequestration ................................................................................................. 81<br />

Aquifer Management for CO 2<br />

Sequestration .................................................................................... 82<br />

Pretreatment Options to Allow Re-Use <strong>of</strong> Frac Flowback and Produced Brine (Desalination Process) ....... 83<br />

Bibliography ............................................................................................................................ 84<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

5


6<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Vision<br />

The vision <strong>of</strong> the <strong>Crisman</strong> Institute for Petroleum Research is to provide a vehicle to enhance development<br />

<strong>of</strong> petroleum engineering technology through cutting-edge, industry-directed research conducted in four<br />

dedicated research Centers in the <strong>Harold</strong> <strong>Vance</strong> <strong>Department</strong> <strong>of</strong> Petroleum Engineering at Texas A&M<br />

University.<br />

The <strong>Crisman</strong> Institute for Petroleum Research identifies and solves significant research<br />

problems <strong>of</strong> major interest to industry and government. The Institute conducts it efforts in four research<br />

Centers: the Halliburton Center for Unconventional Resources, the Chevron Center for Well Construction and<br />

Production, the Schlumberger Center for Reservoir Description and Dynamics, and the Center for Energy,<br />

Environment and Transportation Innovation. Industry and governmental representatives can help identify<br />

problems <strong>of</strong> major significance and support projects <strong>of</strong> particular interest to them through membership at<br />

the Institute, Center, or Project level. Additionally, membership provides seed money for identification and<br />

initiation <strong>of</strong> research into additional problems facing the industry.<br />

Mission<br />

» The mission <strong>of</strong> the <strong>Crisman</strong> Institute for Petroleum Research is to produce significant advances in upstream<br />

petroleum engineering technology through the combined efforts <strong>of</strong> faculty, post-doctoral researchers,<br />

highly qualified graduate students, in close cooperation with industry.<br />

» The mission <strong>of</strong> the Halliburton Center for Unconventional Resources is to increase our ability to<br />

characterize reserves <strong>of</strong> unconventional resources and to develop new, more efficient ways to reduce costs<br />

and improve recovery <strong>of</strong> these resources.<br />

» The mission <strong>of</strong> the Chevron Center for Well Construction and Production is to develop new<br />

tools, both theoretical and physical, to construct and complete wells in today’s increasingly challenging<br />

environments in a way that will reduce the finding and development costs.<br />

» The mission <strong>of</strong> the Schlumberger Center for Reservoir Description and Dynamics is to develop<br />

better approaches to describe and model petroleum reservoirs and to manage the resources identified<br />

there to reduce costs and improve recovery.<br />

» The mission <strong>of</strong> the Center for Energy, Environment, and Transportation Innovation is to form<br />

an interdisciplinary collaboration to study the needs <strong>of</strong> a 21 st century transportation system addressing<br />

energy, environment, and social issues.<br />

Objectives<br />

The <strong>Crisman</strong> Institute and its four Centers have seven primary objectives:<br />

» Work with industry and government representatives to identify the most important problems now facing<br />

the upstream petroleum industry and those that arise in the future.<br />

» Focus our efforts on solutions to as many <strong>of</strong> the identified problems as possible within the framework <strong>of</strong><br />

available resources.<br />

» Develop solutions that will be immediately useful in the industry.<br />

» Maintain a clearinghouse <strong>of</strong> research efforts, tracking not only research in progress but also results <strong>of</strong><br />

completed projects and perspectives on research possibilities for the future.<br />

» Continuously upgrade the problem-solving capabilities <strong>of</strong> the Institute through ongoing faculty development<br />

strategies and pursuit <strong>of</strong> outstanding post-doctoral and graduate students.<br />

» Ensure financial stability to continue to provide long-term solutions to technology-development problems.<br />

» Publicize the activities <strong>of</strong> the Institute and the contributions <strong>of</strong> the membership who make those activities<br />

possible.<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

7


Summary<br />

The <strong>Crisman</strong> Institute has two main purposes. One purpose is based on the Vision, Mission and Objectives<br />

which is to do high-quality research. Another purpose is to help alleviate the manpower shortage that<br />

companies are experiencing. As we all know, the world needs more engineers and scientists, especially in<br />

the oil and gas industry. We are helping with this by producing more high-quality engineers over the last<br />

several years as shown in the tables below.<br />

Recent Trends in Graduate Enrollment<br />

Year Master Phd Total<br />

1997-1998 62 41 103<br />

1998-1999 64 37 101<br />

1999-2000 93 38 131<br />

2000-2001 134 30 164<br />

2001-2002 142 33 175<br />

2002-2003 132 33 165<br />

2003-2004 126 32 158<br />

2004-2005 123 43 166<br />

2005-2006 141 50 191<br />

2006-2007 157 55 212<br />

2007-2008 181 67 248<br />

2008-<strong>2009</strong> 189 81 270<br />

<strong>2009</strong>-2010 239 80 323<br />

Recent Trends in Graduate Degrees<br />

Year Master Phd Total<br />

1997-1998 27 11 38<br />

1998-1999 18 7 25<br />

1999-2000 20 13 33<br />

2000-2001 38 4 42<br />

2001-2002 65 5 70<br />

2002-2003 41 5 46<br />

2003-2004 67 12 79<br />

2004-2005 45 8 53<br />

2005-2006 40 4 44<br />

2006-2007 62 17 79<br />

2007-2008 51 12 63<br />

2008-<strong>2009</strong> 48 18 66<br />

Totals 522 116 638<br />

8<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


The <strong>Crisman</strong> Institute has made great strides in<br />

growing and building the petroleum engineering<br />

department’s research program. Since 2005, the<br />

<strong>Crisman</strong> Institute has funded a total <strong>of</strong> 184 projects<br />

<strong>of</strong> which 139 are complete. For the Spring 2010<br />

semester, we had a total <strong>of</strong> 319 graduate students.<br />

We had 117 graduate research assistant positions<br />

during that time and <strong>Crisman</strong> funded 31 <strong>of</strong> them.<br />

Some <strong>of</strong> the research we have conducted<br />

through <strong>Crisman</strong> has allowed us to develop<br />

s<strong>of</strong>tware and databases that can be used by<br />

industry. An additional benefit companies<br />

have experienced is the opportunity to<br />

become familiar with our students and their research<br />

which has <strong>of</strong>ten led companies to hire them post<br />

graduation.<br />

As noted in the tables and charts below, I have<br />

broken down the distribution <strong>of</strong> our progress for<br />

each <strong>of</strong> the four centers and for each year.<br />

» Halliburton Center for Unconventional Resources<br />

(UCR)<br />

» Chevron Center for Well Construction and<br />

Production (WCP)<br />

» Schlumberger Center for Reservoir Description<br />

and Dynamics (RDD)<br />

» Center for Energy, Environment, and Transportation<br />

Innovation (EETI)<br />

Projects by Centers<br />

Center Completed In Progress<br />

UCR 54 22<br />

WCP 39 13<br />

RDD 32 8<br />

EETI 14 2<br />

Total 139 45<br />

Total Projects: 184<br />

WCP<br />

Number <strong>of</strong> Projects<br />

UCR<br />

RDD<br />

EETI<br />

Total<br />

140<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

Completed<br />

In Progress<br />

0 20 40 60 80 100 120<br />

0<br />

Completed Projects by Year<br />

Year<br />

Number<br />

<strong>2009</strong> 15<br />

2008 30<br />

2007 47<br />

2006 20<br />

2005 25<br />

2004 2<br />

Total 137<br />

2004 2005 2006 2007 2008 <strong>2009</strong> Total<br />

Year<br />

140<br />

As you read through this annual report, I hope you<br />

see the many achievements we have experienced<br />

over the past 6 years. Through the support <strong>of</strong><br />

industry, the <strong>Crisman</strong> Institute and the department<br />

are making an impact on our students, research, and<br />

industry. We intend to report even more successes<br />

in 2010.<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

9


Membership History<br />

The <strong>Crisman</strong> Institute began operation in its current format on January 1, 2005. At the end <strong>of</strong> 2005, we<br />

had three endowed members, four institute members and six center members. The Institute maintained<br />

these membership categories until January 1, 2007. Since the beginning <strong>of</strong> 2007, we eliminated the<br />

center memberships and all companies now belong to the entire <strong>Crisman</strong> Institute. As such, all member<br />

companies have the rights to use all the results from all the projects sponsored by <strong>Crisman</strong>. Table 1 shows<br />

the membership history.<br />

2005 2006 2007 2008 <strong>2009</strong> 2010<br />

Halliburton Halliburton Halliburton Halliburton Halliburton Halliburton<br />

Chevron Chevron Chevron Chevron Chevron Chevron<br />

Schlumberger Schlumberger Schlumberger Schlumberger Schlumberger Schlumberger<br />

Anadarko Anadarko Anadarko Anadarko Anadarko<br />

Baker Hughes Baker Hughes Baker Hughes Baker Hughes Baker Hughes<br />

Nexen Nexen Nexen Nexen Nexen Nexen<br />

Economides Consulting<br />

IHS IHS IHS IHS IHS<br />

ExxonMobil ExxonMobil ExxonMobil ExxonMobil ExxonMobil<br />

Matador Resources<br />

Burlington<br />

Burlington<br />

Total Total Total Total Total Total<br />

Newfield Newfield Newfield Newfield Newfield Newfield<br />

Devon<br />

Devon<br />

BP BP BP BP BP<br />

ConocoPhillips ConocoPhillips ConocoPhillips ConocoPhillips ConocoPhillips ConocoPhillips<br />

Saudi Aramco Saudi Aramco Saudi Aramco<br />

El Paso El Paso El Paso<br />

BJ Services BJ Services BJ Services<br />

Marathon<br />

Shell<br />

Marathon<br />

Shell<br />

Repsol<br />

MI-Swaco<br />

ENI<br />

NETL-DOE<br />

Table 1. Membership History for the <strong>Crisman</strong> Institute.<br />

10<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Meetings<br />

Steering Committee Meeting<br />

» March 1, 2010<br />

One Day Technology Meetings/Center Meetings<br />

2010<br />

» June 1 - Enhanced Oil Recovery<br />

» May 27 - Environmentally Friendly Drilling Meeting<br />

» May 25 - Well Productivity Improvement<br />

» May 20 - Heavy Oil and IOR Research<br />

» May 18 - Shale Gas Meeting<br />

» February 23 - Environmentally Friendly Drilling<br />

Meeting in Houston, Texas<br />

<strong>2009</strong><br />

» December 15 - Shale Gas<br />

» October 16 - Technology Transfer Meeting on<br />

Unconventional Gas and Hydraulic Fracturing<br />

» October 4 - Heavy Oil and IOR Methods<br />

» June 24 - Role <strong>of</strong> Chemistry in Well Production<br />

» May 19 - Shale Gas<br />

» May 14 - Reservoir Performance for Enhanced Oil<br />

Recovery by CO 2 Injection<br />

» April 23 - Environmentally Friendly Drilling Meeting<br />

in Houston, Texas<br />

» April 14 - Acid Fracture Conductivity<br />

» March 18 - Chemical EOR and Water Shut-Off<br />

Using Chemical Means<br />

» February 18 - Advanced Hydraulic Fracturing<br />

2008<br />

» December 16 - Shale Gas Meeting<br />

» December 12 - Heavy Oil and IOR Methods Meeting<br />

» December 11 - Business Meeting and Unconventional<br />

Gas Reservoirs Advisory Meeting<br />

» November 5 - Environmentally Friendly Drilling<br />

» June 5 - Shale Gas<br />

» May 30 - Low Impact Access in Environmentally<br />

Sensitive Areas<br />

» May 21 - Acid Fracture Conductivity<br />

» May 20 - Unconventional Gas<br />

» May 19 - Hydraulic Fracturing in Tight Gas<br />

Formations (afternoon)<br />

» May 19 - Intelligent Completion and Applications<br />

(morning)<br />

» May 8 - Heavy Oil and IOR Methods<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

» May 5 - Gas Well Unloading<br />

2007<br />

» December 11 – Shale Gas Production Data<br />

Analyses<br />

» November 29 – Center for Energy Environmental,<br />

and Transportation Innovation<br />

» November 16 – Heavy Oil and Improved Recovery<br />

Methods<br />

» November 5 - Gas Well Unloading<br />

» October 25 - Acid Fracturing Conductivity<br />

» October 24 - Unconventional Gas Reservoirs &<br />

Resource Assessment<br />

» October 17 - Hydraulic Fracturing in Tight Gas<br />

Formation<br />

» October 9 - Advanced Drilling Technology<br />

» May 10 - Gas Well Unloading<br />

» May 9 - Tight Gas Sands Meeting<br />

» May 8 - Environmentally Friendly Drilling Meeting<br />

in Houston, Texas<br />

» April 26 - Fractured Shale Reservoirs Meeting<br />

» April 25 - Heavy Oil Recovery Meeting<br />

» April 11 - Intelligent Well Technology<br />

2006<br />

» November 9 - Halliburton Center<br />

» November 8 - Schlumberger Center<br />

» November 7 - Chevron Center<br />

» September 6 - Resource Assessment for<br />

Unconventional Reservoirs<br />

» September 6 - Fracture Fluid Damage and Cleanup<br />

» August 9 - Gas Well Deliquification<br />

» August 3 - Heavy Oil<br />

» May 25 - Halliburton Center<br />

» May 24 - Schlumberger Center<br />

» May 23 - Chevron Center<br />

2005<br />

» November 11 - Chevron Center<br />

» November 10 - Schlumberger Center<br />

» November 10 - Halliburton Center<br />

» May 26 - Halliburton Center<br />

» March 24 - Schlumberger Center<br />

» January 27 - Chevron Center<br />

11


12<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Casing Failure<br />

Objectives<br />

The objective is to develop a casing failure<br />

probabilistic model that describes casing behavior in<br />

the compacting reservoir. Depletion <strong>of</strong> pore pressure<br />

from oil production in an unconsolidated formation,<br />

or s<strong>of</strong>t formations such as sandstone, chalk, and<br />

diatomite, causes casing deformation, which can<br />

later turn to failure. Creating a probabilistic model<br />

can explain the relationship between failure and<br />

involved parameters. By matching the model results<br />

with field history, the model is corrected for each<br />

specific field. Thus, the model can be projected<br />

for future casing failure <strong>of</strong> each field. Mitigation<br />

strategies can be implemented to minimize the rate<br />

<strong>of</strong> future casing failure according to the results <strong>of</strong><br />

the model.<br />

Accomplishments<br />

Tests were done on the compression failure model.<br />

The results show that with a higher grade <strong>of</strong> casing<br />

the probability <strong>of</strong> failure decreases. Thus, increasing<br />

casing grade may help strengthen casing against<br />

compression failure. Well inclination is another<br />

factor that can decrease the probability <strong>of</strong> failure.<br />

For compression failure, vertical wells are more<br />

susceptible to failure than inclined wells, as shown<br />

in the results. Cementing plays an important role<br />

in compression failure. Slippage at the cementformation<br />

and cement-casing can reduce maximum<br />

casing strain subjected to reservoir compaction by<br />

30%-40%, which is also shown in the result. Also,<br />

the use <strong>of</strong> ductile cement can reduce the risk <strong>of</strong><br />

compression failure through cement properties.<br />

Future Work<br />

Acquire all casing properties and parameters, such as<br />

diameter and thickness. The magnitude <strong>of</strong> buckling<br />

failure could depend on the unsupported length <strong>of</strong><br />

casing. Run buckling failure model and analyze the<br />

results with different unsupported lengths. Compare<br />

the results <strong>of</strong> the unsupported with the supported<br />

to prove that buckling failure is likely to occur when<br />

casing is not laterally supported.<br />

CRISMAN INSTITUTE<br />

Project Information<br />

1.1.2 Reservoir Compaction and Casing Integrity in Texas<br />

Gulf <strong>of</strong> Mexico Coast, Part II<br />

Contacts<br />

Jerome Schubert<br />

979.862.1195<br />

jerome.schubert@pe.tamu.edu<br />

Catalin Teodoriu<br />

catalin.teodoriu@pe.tamu.edu<br />

Prasongsit Chantose<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

13


An Advisory System for Selecting Drilling Technologies and Methods in Tight Gas<br />

Reservoirs<br />

Objectives<br />

The main objective <strong>of</strong> this research project is to<br />

develop a computer program dedicated to applying<br />

the drilling technologies and methods selection for<br />

drilling tight gas sandstone formations that have<br />

been documented as best practices in the petroleum<br />

literature. We have created an advisory module<br />

for tight gas that is part <strong>of</strong> a general Drilling &<br />

Completion Advisor for unconventional formations.<br />

This Drilling & Completion Advisory Module, along<br />

two other programs called BASIN (basin analogy)<br />

and PRISE (resource evaluation) is part <strong>of</strong> the<br />

UGR (unconventional gas resources) Advisor under<br />

development at Texas A&M by a team <strong>of</strong> graduate<br />

students and pr<strong>of</strong>essors.<br />

Approach<br />

To complete the Drilling Advisory Module for tight<br />

gas reservoirs, we have identified and reviewed<br />

relevant data in worldwide literature on tight gas<br />

reservoirs with a strong emphasis on the latest<br />

drilling technologies, such as: casing drilling,<br />

underbalanced drilling, managed pressure drilling,<br />

horizontal drilling, directional S-shaped drilling (well<br />

clusters) and coiled tubing drilling. We have analyzed<br />

under which critical parameters one technology<br />

has been preferred or is currently being applied in<br />

comparison with other drilling techniques. Further,<br />

we have extracted key criteria and have developed<br />

decision charts, which mimic the thinking process <strong>of</strong><br />

an expert. We have written Visual Basic programs<br />

using Micros<strong>of</strong>t Visual Studio implementing all the<br />

decisions charts created during this research. Finally,<br />

we will test and validate the Drilling Advisory Module<br />

with U.S. tight gas real cases.<br />

Accomplishments<br />

Our results have led to the following accomplishments:<br />

» A drilling advisory system has been designed and<br />

programmed for a Windows O.S. environment in<br />

order to capture the industry best drilling practices<br />

from tight gas reservoirs.<br />

» The advisory system has been divided into<br />

several sub-modules to guide the user through<br />

the multiple steps to make decision selecting<br />

drilling technologies and methods to drill tight gas<br />

reservoirs. Each <strong>of</strong> the sub-modules deals with<br />

a specific topic (well data, drilling parameters,<br />

drilling time, drilling cost, ranking). Each dataset<br />

can be loaded or saved in a text file for analysis<br />

or post-processing using other s<strong>of</strong>tware (Micros<strong>of</strong>t<br />

Excel).<br />

» The advisory system is designed with a user-friendly<br />

interface, to help select efficient and successful<br />

drilling technologies and drilling methods.<br />

» The drilling advisory system outputs more than<br />

one feasible solution for a given well or field.<br />

» The logic behind the advisory system, mainly based<br />

on decision charts developed by collecting relevant<br />

data from the petroleum engineering literature<br />

and discussions with industry drilling experts, is a<br />

good approach to mimic expert decision-making.<br />

» This project has illustrated several examples that<br />

happen to match the current industry drilling best<br />

practices or anticipate upcoming drilling practices<br />

in the studied area. These simulations showed that<br />

the drilling advisory system could deliver similar<br />

recommendations in comparison with a team <strong>of</strong><br />

experienced drilling experts.<br />

» Drilling time, drilling cost estimation and ranking<br />

technologies, and methods sub-modules provide<br />

the user with an extended decision making tool<br />

when several solutions are feasible.<br />

» The drilling advisory system has been designed<br />

and programmed for easy integration within the<br />

Unconventional Gas Resources Advisor. It can be<br />

further upgraded with other drilling sub-modules<br />

or new drilling technologies when they are mature<br />

on the market.<br />

Project Information<br />

1.1.12 Developing an Expert System for Well Completions<br />

in Tight Gas Reservoirs Worldwide<br />

Related Publications<br />

Pilisi, N.: <strong>2009</strong>. An Advisory System for Selecting Drilling<br />

Technologies and Methods in Tight Gas Reservoirs. MS<br />

thesis, Texas A&M U., College Station, Texas.<br />

Contacts<br />

Stephen A. Holditch<br />

979.845.2255<br />

holditch@tamu.edu<br />

Catalin Teodoriu<br />

catalin.teodoriu@pe.tamu.edu<br />

Nicolas Pilisi<br />

CRISMAN INSTITUTE<br />

14<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Assessment <strong>of</strong> API Thread Connections under Tight Gas Well Conditions<br />

Introduction<br />

The modern oil and gas industry <strong>of</strong> America has seen<br />

most <strong>of</strong> the high quality, easily obtainable resources<br />

already produced, thus causing wells to be drilled<br />

deeper in search <strong>of</strong> unconventional resources. This<br />

means Oil Country Tubular Goods (OCTG) must<br />

improve in order to withstand harsher conditions,<br />

such as tight gas sand wells, especially the ability<br />

<strong>of</strong> connections to effectively create leak-tight seals.<br />

gas reservoirs around the world produced average<br />

reservoir properties, which can be used as guidelines<br />

when deciding which type <strong>of</strong> connections to be used.<br />

Objective<br />

This study investigated the use and sealing <strong>of</strong> API<br />

long thread connections in tight gas wells.<br />

Approach<br />

A review <strong>of</strong> previous works on the capabilities and<br />

limitations <strong>of</strong> thread connections was done. This<br />

review identified several experiments and studies<br />

done on API connections to determine the limits<br />

<strong>of</strong> their capabilities, and covered simulations done<br />

on API connections using Finite Element Method<br />

(FEM) analysis and the importance <strong>of</strong> their findings.<br />

Experiments conducted to test the performance <strong>of</strong><br />

thread compounds were also reviewed.<br />

The average values obtained represent the minimum<br />

values API connections should be able to seal. These<br />

values can also be used in experiments designed to<br />

test the leakage <strong>of</strong> thread connections, namely the<br />

grooved plate method. The experiment can be done<br />

under these conditions <strong>of</strong> temperature and pressure<br />

and the results can signify the possible behavior <strong>of</strong><br />

thread compounds and thread connections in tight<br />

gas fields.<br />

(continued on next page)<br />

In order to have an idea <strong>of</strong> the type <strong>of</strong> conditions<br />

present in tight gas reservoirs, published data from<br />

around the world was also reviewed, with a focus on<br />

reported reservoir properties and drilling plans.<br />

In addition, this study will measure the viscosity<br />

<strong>of</strong> thread compounds. Because thread compound<br />

is essential to the function <strong>of</strong> thread connections,<br />

the knowledge <strong>of</strong> its viscosity can help choose<br />

the most suitable compound. Some viscosity<br />

measurements were conducted on several samples<br />

<strong>of</strong> thread compounds to identify actual values for<br />

thread compound at certain conditions following<br />

the guidelines set down by ASTM D 2196 (American<br />

Society <strong>of</strong> Testing and Materials). This information<br />

will be useful in predicting the behavior <strong>of</strong> the<br />

thread compound inside the helical paths within the<br />

connection. Also, knowing the value <strong>of</strong> the viscosity<br />

<strong>of</strong> a thread compound can also be used to form an<br />

analytical assessment <strong>of</strong> the grooved plate method<br />

by providing a means to calculate a pressure gradient<br />

which impacts the leakage.<br />

Accomplishments<br />

A survey <strong>of</strong> many drilling projects done in tight<br />

Project Information<br />

1.1.17 Assessment <strong>of</strong> API LTC Wellbore Integrity for Tight<br />

Gas Sands<br />

Contacts<br />

Jerome Schubert<br />

979.862.1195<br />

jerome.schubert@pe.tamu.edu<br />

Catalin Teodoriu<br />

catalin.teodoriu@pe.tamu.edu<br />

Dwayne Bourne<br />

CRISMAN INSTITUTE<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

15


A procedure to measure the viscosity <strong>of</strong> thread<br />

compound was established and used to measure<br />

the viscosities <strong>of</strong> three different samples <strong>of</strong> thread<br />

compound at various temperatures. Viscosity values<br />

are shown below:<br />

The experiment known as the grooved plate method<br />

can be carried out using the results from the tight<br />

gas reservoirs as test parameters to identify leak<br />

parameters <strong>of</strong> API round thread connections.<br />

The slot flow approximation can be used as an<br />

analytical method to reinforce experimental data<br />

or be used instead <strong>of</strong> conducting lengthy and costly<br />

experiments.<br />

The data above was fitted to a function and<br />

extrapolated to find the viscosity at the average<br />

reservoir temperature found from the review <strong>of</strong> tight<br />

gas projects. The viscosities <strong>of</strong> each <strong>of</strong> the thread<br />

compounds at 256°F are shown below. These values<br />

represent the expected viscosity <strong>of</strong> thread compound<br />

in tight gas reservoirs.<br />

The thread viscosities found above can be used<br />

in conjunction with the slot flow approximation to<br />

provide a means <strong>of</strong> finding a pressure gradient along<br />

the grooves <strong>of</strong> the grooved plate used in the groove<br />

plate method. This pressure gradient can be used to<br />

simulated results by applying the pressure gradient<br />

to determine leak pressure before the experiment<br />

is actually conducted. This can be used as a check<br />

<strong>of</strong> experimental results to validate experimental<br />

procedure.<br />

Future Work<br />

The measurement <strong>of</strong> the viscosity <strong>of</strong> the thread<br />

compound samples can be repeated using the<br />

average temperatures, which can better represent<br />

downhole conditions <strong>of</strong> tight gas wells.<br />

16<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Gas Shales – Geomechanics/Completions<br />

Introduction<br />

The Woodford shale gas is an ultra-low permeability<br />

reservoir (0.000001 md to 0.001 md). Commercial<br />

gas production is made possible by hydraulic fracture<br />

stimulation. Optimum hydraulic fracture treatment<br />

design needs to consider geomechanical principles<br />

in fracture initiation and propagation <strong>of</strong> multiple<br />

transverse fractures in horizontal wells. Often,<br />

Woodford shale reservoir development is achieved<br />

by drilling multiple parallel horizontal wells (on N-S<br />

azimuth), with approximately 600 ft spacing. Each<br />

treatment stage in a well is designed to create a<br />

stimulated volume, defined as the rock volume<br />

contacted by treatment fluid and proppant, which<br />

experiences a desired enhancement to permeability.<br />

For reservoir optimization, the collective network <strong>of</strong><br />

stimulations should affect the maximum volume,<br />

with minimal (optimal) overlap <strong>of</strong> adjacent treatment<br />

stages.<br />

Objectives<br />

The problem has several related components: the<br />

selection <strong>of</strong> an appropriate perforation scheme–for<br />

open and cased hole–for initiating multiple fractures<br />

within a fracture stage and the determination <strong>of</strong> an<br />

optimum fracture treatment spacing for a 1000 ft<br />

section <strong>of</strong> a well using fracture mechanics models.<br />

The latter should consider the interaction between<br />

neighboring wells in generating a stimulated volume.<br />

In this research, we present a survey <strong>of</strong> state-<strong>of</strong>-theart<br />

practices with reference to the above issues to<br />

assist in selecting the best strategy for the Woodford<br />

shale reservoir.<br />

Approach<br />

In wells with low to medium permeability like<br />

Woodford’s, transverse fractures that extend<br />

sideways provide drainage for a larger area <strong>of</strong> the<br />

formation, experiencing a long-term production<br />

increase.<br />

A major concern in designing the perforation clusters<br />

for transverse fracturing design is the stressshadow<br />

effect. When a hydraulic fracture is opened,<br />

the resulting compression will increase the amount<br />

<strong>of</strong> minimum horizontal stress because <strong>of</strong> the net<br />

fracturing pressure existence. If this compressional<br />

stress is big enough, it can turn minimum horizontal<br />

stress into maximum horizontal stress, thus changing<br />

a transverse fracture into a longitudinal one.<br />

By reducing the number <strong>of</strong> clusters per stage,<br />

stress interference can be minimized, which will<br />

reduce the likelihood <strong>of</strong> having improper fracture<br />

propagation. However, this reduction will increase<br />

the number <strong>of</strong> stages per well, which means more<br />

completion costs. Therefore, the number <strong>of</strong> stages<br />

and the spacing between the perforation clusters<br />

are the result <strong>of</strong> optimization between the cost <strong>of</strong><br />

having more stages and reducing the stress shadow<br />

effect. For our cemented horizontal wells, the best<br />

completion strategy is to limit the number <strong>of</strong> stages<br />

and stimulate two or three perforation clusters per<br />

stage.<br />

Accomplishments<br />

Our study on stress shadow shows that it becomes<br />

quite small at an <strong>of</strong>fset distance equal to about<br />

two times the fracture height (2H). This minimum<br />

spacing (2H) is required to effectively minimize the<br />

conflicts between two transverse fractures. Also<br />

the perforation-cluster lengths should not be longer<br />

than four times the wellbore diameter. This is to<br />

prevent the creation <strong>of</strong> competing multiple fractures.<br />

Considering the fracture height <strong>of</strong> 250 ft to 280 ft for<br />

Woodford shale formation (Vulgamore et al., 2007),<br />

and a horizontal lateral diameter <strong>of</strong> 7 in, the best<br />

option will be to have three perforation clusters with<br />

maximum lengths <strong>of</strong> 2 ft that are stimulated in a<br />

single stage for each 1000 ft <strong>of</strong> horizontal lateral.<br />

To align perforations with the preferred fracture<br />

plane, they should be oriented 0°/180° phasing.<br />

The other alternative is 60° phasing when used in<br />

conjunction with an acid-soluble cement system.<br />

Both perforation strategies have shown to be<br />

effective (Ketter et al., 2008).<br />

CRISMAN INSTITUTE<br />

Project Information<br />

1.1.18 Gas Shales – Geomechanics/Completions<br />

Contacts<br />

Ahmad Ghassemi<br />

979.845.2206<br />

ahmad.ghassemi@pe.tamu.edu<br />

Babak Akbarnejad<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

17


PRISE – Petroleum Resource Investigation Summary and Evaluation<br />

Introduction<br />

As conventional resources are depleted,<br />

unconventional gas resources (UGRs) are becoming<br />

increasingly important to the U.S and world energy<br />

supply. The volume <strong>of</strong> UGRs is generally unknown<br />

in most international basins. However, in 25<br />

mature U.S. basins, UGRs have been produced for<br />

decades and are well characterized in the petroleum<br />

literature. The objective <strong>of</strong> this work was to develop<br />

a method for estimating technically recoverable<br />

UGRs in target, or exploratory, basins. The method<br />

was based on quantitative relations between known<br />

conventional and unconventional hydrocarbon<br />

resource types in mature U.S. basins.<br />

hydrocarbon resources are conventional oil and gas,<br />

and 90% are from unconventional resources.<br />

Significance<br />

PRISE may be used to estimate the volume <strong>of</strong><br />

technically recoverable hydrocarbon resources<br />

in any basin worldwide and, hopefully, assist<br />

early economic and development planning. PRISE<br />

methodology for estimating UGRs should be further<br />

tested in diverse sedimentary basin types.<br />

Conventional is 0–9% greater<br />

10/13/<strong>2009</strong><br />

than in previous calculation From Old, <strong>2009</strong><br />

Objectives<br />

The primary objective <strong>of</strong> developing PRISE<br />

was to establish a methodology for estimating<br />

unconventional technically recoverable resources<br />

in basins with no, or very little, unconventional<br />

resource development or data. A second objective<br />

was to create a system the industry can use to<br />

better understand the potential <strong>of</strong> unconventional<br />

resources in the target basins around the world.<br />

Armed with such estimates and understanding, the<br />

industry can better justify its future development<br />

activities or, in some cases, change course. For<br />

this study, published resource information from the<br />

USGS, PGC, NPC, EIA, and GTI were used to quantify<br />

recoverable resources in seven North American<br />

basins.<br />

1<br />

Quantified Recoverable Resources – 7 N.A. Basins (Old, <strong>2009</strong>).<br />

Accomplishments<br />

To develop the methodology to estimate resource<br />

volumes, we used data from the U.S. Geological<br />

Survey, Potential Gas Committee, Energy<br />

Information Administration, National Petroleum<br />

Council, and Gas Technology Institute to evaluate<br />

relations among hydrocarbon resource types in the<br />

Appalachian, Black Warrior, Greater Green River,<br />

Illinois, San Juan, Uinta-Piceance, and Wind River<br />

basins. PRISE can be used to predict technically<br />

recoverable UGRs for target basins, on the basis <strong>of</strong><br />

their known conventional resources. Input data for<br />

PRISE are cumulative production, proved reserves,<br />

growth, and undiscovered resources. We use<br />

published data to compare cumulative technically<br />

recoverable resources for each basin. For the seven<br />

basins studied, we found that 10% <strong>of</strong> the recoverable<br />

Project Information<br />

1.1.20 Continued Development <strong>of</strong> PRISE<br />

Contacts<br />

Stephen A. Holditch<br />

979.845.2255<br />

holditch@tamu.edu<br />

Walter B. Ayers<br />

979.458.0721<br />

walt.ayers@pe.tamu.edu<br />

Kun Cheng<br />

CRISMAN INSTITUTE<br />

18<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


An Investigation <strong>of</strong> Regional Variations <strong>of</strong> Barnett Shale Reservoir Properties, and<br />

Resulting Variability <strong>of</strong> Hydrocarbon Composition and Well Performance<br />

Objectives<br />

Although the Barnett is one <strong>of</strong> the most prolific gas<br />

plays in the U.S., fundamental controls on variable<br />

gas productivity <strong>of</strong> individual wells and different<br />

regions are poorly understood. The Barnett shale<br />

is very heterogeneous; formation thickness and<br />

lithology, thermal maturity, structural setting,<br />

reservoir fluids, etc. vary greatly throughout the<br />

basin. The objectives <strong>of</strong> this research are to:<br />

» clarify the stratigraphic and regional variations <strong>of</strong><br />

Barnett Shale reservoir and geologic properties;<br />

and<br />

» evaluate the controls that these properties exert<br />

on Barnett Shale gas well performance.<br />

maps (best monthly production, first 12 month<br />

cumulative production, etc.) to assess controls on<br />

reservoir performance. There were four phases to<br />

this project.<br />

First, we correlated reservoir facies to assess vertical<br />

and lateral variability <strong>of</strong> Barnett shale. The Barnett<br />

Shale was subdivided into 13 reservoir sequences<br />

that were then upscaled into four reservoir units<br />

(Fig. 1). Second, we mapped and analyzed regional<br />

variations <strong>of</strong> oil and gas production rates and gas/<br />

oil ratios. Third, we evaluated shale geochemistry<br />

parameters, including organic richness, thermal<br />

maturity, and fluid types. We used petrophysical<br />

evaluations to estimate geochemical parameters<br />

from well logs and to estimate reservoir property <strong>of</strong><br />

the four reservoir units. Finally, we integrated the<br />

above to assess reservoir controls on production<br />

rates <strong>of</strong> individual wells and different regions <strong>of</strong> the<br />

Fort Worth Basin. Structural settings and thermal<br />

maturity are dominantly controls on regional<br />

production variations. Local variations in Barnett<br />

production primarily vary with the perforation<br />

interval targeted in Barnett Shale.<br />

Significance<br />

The study lends insights to reservoir controls on<br />

well performance and should assist operators with<br />

optimization <strong>of</strong> development strategies and gas<br />

recovery. The approach used in this study may be<br />

applicable to other developing shale gas plays, such<br />

as the Marcellus and Haynesville Shales.<br />

CRISMAN INSTITUTE<br />

Fig. 1. Type well log showing Barnett Shale stratigraphy and reservoir<br />

units mapped in this study.<br />

Approach<br />

This is an integrated study using well log and<br />

production data to evaluate geologic and engineering<br />

controls on reservoir performance. We used raster<br />

image logs to correlate and map Barnett Shale facies,<br />

and we used digital logs to assess petrophysical<br />

properties. Facies and petrophysical properties<br />

maps were compared to reservoir performance<br />

Project Information<br />

1.2.3 Assessment <strong>of</strong> API LTC Wellbore Integrity for Tight<br />

Gas Sands<br />

Related Publications<br />

Tian, Y. and Ayers, W. Regional Stratigraphic and Sedimentary<br />

Facies Analyses, Barnett Shale, Fort Worth Basin, Texas.<br />

Paper 0919 presented at the <strong>2009</strong> International Coalbed<br />

and Shale Gas Symposium, Tuscaloosa, Alabama, 18-22<br />

May.<br />

Contacts<br />

Walter B. Ayers<br />

979.458.0721<br />

walt.ayers@pe.tamu.edu<br />

Yao Tian<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

19


Gas Shales Simulation and Production Data Analysis<br />

Objectives<br />

Rate decline forecasting <strong>of</strong> wells in tight gas/shale<br />

gas reservoirs using modern decline curve analysis<br />

can result in dramatic overestimation <strong>of</strong> reserves.<br />

The cause for this error is usually incorrect<br />

interpretation <strong>of</strong> transient flow data (i.e., data which<br />

are NOT affected by reservoir boundaries).<br />

The extremely low permeability <strong>of</strong> shale gas and<br />

tight gas reservoirs causes the transient flow period<br />

to last years or decades. Additionally, the physics<br />

<strong>of</strong> transport and storage controlling the gas flow in<br />

shale gas systems is complex and varies markedly<br />

between reservoirs. Finally, posing yet another<br />

complication, most wells in these reservoir types<br />

are drilled horizontally and hydraulically fractured<br />

multiple times.<br />

the flow concept <strong>of</strong> van Kruijsdijk and Dullaert, and<br />

showed how production data analysis can be used to<br />

identify these flow regimes.<br />

In <strong>2009</strong>, TAMSIM was used to study the effects <strong>of</strong><br />

variation <strong>of</strong> numerous reservoir and completion<br />

parameters on well performance. One paper<br />

(SPE 124961: A Numerical Study <strong>of</strong> Tight Gas<br />

and Shale Gas Reservoir Systems) published this<br />

year served to characterize the effects <strong>of</strong> sorption,<br />

fracture conductivity, fracture spacing, and matrix<br />

permeability for various assumptions <strong>of</strong> single- and<br />

dual-porosity reservoirs, with and without laterally<br />

conductive layers. This work was presented at the<br />

The objectives <strong>of</strong> this research project have been to<br />

build a numerical simulator for shale gas reservoir<br />

systems and to study the complex flow regimes<br />

found around horizontal wells with multiple hydraulic<br />

fractures and enable identification and interpretation<br />

<strong>of</strong> these regimes through production data analysis.<br />

Approach<br />

Our approach has been to determine the proper<br />

theoretical foundation for creating a tight gas/shale<br />

gas simulator, and to implement these concepts<br />

into the purpose-built numerical simulator TAMSIM,<br />

which is descended from the TOUGH+ family <strong>of</strong><br />

numerical simulators.<br />

To determine a sound theoretical basis, we<br />

undertook a literature search, focusing on the<br />

physics and simulation <strong>of</strong> coalbed methane, tight<br />

gas, and shale gas reservoirs. This literature review<br />

also entailed research into specific storage and<br />

transport mechanisms such as flow in naturally and<br />

hydraulically fractured porous media, diffusion in<br />

porous media, and surface sorption.<br />

In 2008, work was focused on implementation and<br />

validation <strong>of</strong> the capability to accurately simulate<br />

horizontal wells with multiple transverse hydraulic<br />

fractures. This part <strong>of</strong> the functionality has been<br />

validated against various other methods, and used<br />

to provide synthetic cases for study and history<br />

matching. Through simulation, we created clear<br />

visualizations <strong>of</strong> the progression <strong>of</strong> flow according to<br />

The progression <strong>of</strong> flow regimes in multiple fractured horizontal wells<br />

(van Kruysdijk and Dullaert [1989])<br />

Project Information<br />

1.2.5 Shale Gas Reserves Estimation<br />

Contacts<br />

Tom Blasingame<br />

979.845.2292<br />

t-blasingame@tamu.edu<br />

C. Matt Freeman<br />

CRISMAN INSTITUTE<br />

20<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


<strong>2009</strong> SPE ATCE in New Orleans. A second paper (A<br />

Numerical Study <strong>of</strong> Microscale Flow Effects in Tight<br />

Gas and Shale Gas Reservoir Systems) concerning<br />

the micro- and nano-scale flow effects caused by<br />

extremely fine pore structure in shale was presented<br />

at the TOUGH Symposium at Lawrence Berkeley<br />

National Laboratory.<br />

Additionally, several other capabilities have been<br />

added to TAMSIM, though not yet rigorously<br />

validated. These include multiphase flow and<br />

multicomponent diffusion. Work on TAMSIM<br />

continues in collaboration with Dr. George Moridis.<br />

Significance<br />

The significance <strong>of</strong> the work to this point has been<br />

to provide clear visualization and diagnostic tools<br />

for identification <strong>of</strong> the complex flow regimes found<br />

near horizontal wells with multiple fractures in tight<br />

gas reservoirs, and to deliver insight into the effects<br />

<strong>of</strong> reservoir and completion parameters on the<br />

behavior <strong>of</strong> these pr<strong>of</strong>iles. Properly accounting for<br />

the flow regime effects <strong>of</strong> inter-fracture interference<br />

on production data will enable the engineer to<br />

constrain rate decline predictions.<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

21


Characterization <strong>of</strong> Rock Transport Properties in Tight Gas and Shale<br />

Objectives<br />

The objective <strong>of</strong> this work is to determine transport<br />

properties such as permeability, porosity, and<br />

fracture characteristics in very low permeability<br />

rocks such as tight gas sandstone and shale. Further,<br />

we would be characterizing stress-induced changes<br />

in permeability in these low permeability rocks.<br />

This would be done using the pulse permeameter<br />

and steady-state measurements using under<br />

triaxial stress. Generally, “Pressure Pulse Test”<br />

is recommended in tight gas and shale reservoirs<br />

instead <strong>of</strong> conventional “Steady State Permeability<br />

Test”. The “Pressure Pulse Permeameter” machine<br />

in Rock Mechanics Lab can be a good tool for<br />

determining rock properties.<br />

permeability/porosity check plugs to make sure the<br />

values are precise. After calibrations and validations,<br />

we will be ready to measure permeability/porosity<br />

<strong>of</strong> the tight core samples.<br />

Approach<br />

During this month and the last month, we focused<br />

on the accuracy <strong>of</strong> the transducers and found out<br />

that a part <strong>of</strong> the measured leakage rate came from<br />

the fluctuations in the outputs <strong>of</strong> the transducers.<br />

The downstream differential transducer had a larger<br />

rate <strong>of</strong> fluctuations. We tested the leakage rate<br />

in different system pressures using impermeable<br />

core plugs and determined that the leakage rates<br />

in upstream and downstream transducers are<br />

consistent, which means the leakage comes from a<br />

point which connects both sections.<br />

Accomplishments<br />

To reduce the data fluctuation in the downstream<br />

part, we changed the downstream transducer, then<br />

calibrated and tested again. The leakage rate in the<br />

downstream part decreased from 1.6 psi/hr to ~ 1.1<br />

psi/hr. Then, since the shortest route that connects<br />

upstream and downstream sections to each other is<br />

the core holder, we inspected the core holder again<br />

and wrapped the outer diameter <strong>of</strong> the rubber sleeve<br />

inside the core holder with extra aluminum foil. It<br />

covered the torn parts <strong>of</strong> the previously wrapped<br />

foil, which had been generated due to shrinkage and<br />

extension <strong>of</strong> the rubber sleeve. With these changes<br />

made, we tested the leakage and the rates were<br />

now 0.3 psi/hr for upstream and 0.36 psi/hr for<br />

downstream, which are reasonable.<br />

Future Work<br />

Since the machine has had several changes and<br />

manipulations, for the next month we should calibrate<br />

the volumes and (if possible) test it with known<br />

Project Information<br />

1.2.6 Transport Properties Characterization <strong>of</strong> Tight Gas<br />

Shales<br />

Contacts<br />

Ahmad Ghassemi<br />

979.845.2206<br />

ahmad.ghassemi@pe.tamu.edu<br />

Vahid Serajian<br />

CRISMAN INSTITUTE<br />

22<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Rate Transient Analysis in Shale Gas Reservoirs with Transient Linear Behavior<br />

Introduction<br />

Many hydraulically fractured shale gas horizontal<br />

wells in the Barnett shale have been observed to<br />

exhibit transient linear behavior, characterized by<br />

a one-half slope on a log-log plot <strong>of</strong> rate against<br />

time. This transient linear flow regime is believed to<br />

be caused by transient drainage <strong>of</strong> low permeability<br />

matrix blocks into adjoining fractures, and is the only<br />

flow regime available for analysis in many wells.<br />

Objectives<br />

A hydraulically fractured horizontal shale gas<br />

well will be modeled as a horizontal well draining<br />

a rectangular geometry containing a network <strong>of</strong><br />

fractures separated by matrix blocks (dual-porosity<br />

system). The solutions presented by El-Banbi for<br />

a linear dual porosity model will be extended and<br />

applied to this system. The effects <strong>of</strong> desorption<br />

and diffusion will be assumed negligible in this<br />

paper since they will not be important at reservoir<br />

pressures <strong>of</strong> interest in the Barnett shale.<br />

The objectives <strong>of</strong> this research are:<br />

» To develop mathematical models to analyze these<br />

multi-stage hydraulically fractured horizontal wells<br />

» To develop a rate transient analysis procedure for<br />

analyzing these wells to enable the determination<br />

<strong>of</strong> reservoir characteristics, drainage volume/<br />

original gas-in-place (OGIP), fracture network<br />

characteristics and assessment <strong>of</strong> the effectiveness<br />

<strong>of</strong> different hydraulic fracture treatments.<br />

Accomplishments<br />

The hydraulically fractured shale gas reservoir system<br />

was described by a linear dual porosity model which<br />

consisted <strong>of</strong> a bounded rectangular reservoir with<br />

slab matrix blocks draining into adjoining fractures<br />

and subsequently to a horizontal well in the center.<br />

The well fully penetrates the rectangular reservoir.<br />

Convergence skin is incorporated into the linear<br />

model to account for the presence <strong>of</strong> the horizontal<br />

wellbore.<br />

Five flow regions were identified with this model.<br />

Region 1 is due to transient flow only in the<br />

fractures. Region 2 is bilinear flow and occurs when<br />

the matrix drainage begins simultaneously with<br />

the transient flow in the fractures. Region 3 is the<br />

response for a homogeneous reservoir. Region 4<br />

is dominated by transient matrix drainage and is<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

the transient flow regime <strong>of</strong> interest. Region 5 is<br />

the boundary dominated transient response. New<br />

working equations were developed and presented<br />

for analysis <strong>of</strong> Regions 1 to 4. No equation was<br />

presented for Region 5 as it requires a combination<br />

<strong>of</strong> material balance and productivity index equations<br />

beyond the scope <strong>of</strong> this work.<br />

It is concluded that the transient linear region<br />

observed in field data occurs in Region 4, drainage <strong>of</strong><br />

the matrix. A procedure was presented for analysis.<br />

The only parameter that can be determined with<br />

available data is the matrix drainage area, Acm.<br />

It was demonstrated that the effect <strong>of</strong> skin under<br />

constant rate and constant bottomhole pressure<br />

conditions is not similar for a linear reservoir, as<br />

the constant bottomhole pressure shows a gradual<br />

diminishing effect <strong>of</strong> skin. A new analytical equation<br />

was presented to describe this situation<br />

It was also demonstrated that different shape<br />

factor formulations (Warren and Root, Zimmerman<br />

and Kazemi) result in similar Region 4 transient<br />

linear response provided that the appropriate f(s)<br />

modifications consistent with lAc calculations are<br />

conducted. It was also demonstrated that different<br />

matrix geometry exhibit the same Region 4 transient<br />

linear response when the area-volume ratios are<br />

similar.<br />

Project Information<br />

1.2.8 Modeling and Analysis <strong>of</strong> Linear Transient Flow<br />

Regime in Shale Gas Reservoirs<br />

Related Publications<br />

El-Banbi, A.H.: 1998, Analysis <strong>of</strong> Tight Gas Wells. PHD<br />

dissertation, Texas A&M<br />

U., College Station, Texas.<br />

Bello, R.O.: <strong>2009</strong>, Rate Transient Analysis in Shale Gas<br />

Reservoirs with Transient Linear Behavior. PHD dissertation,<br />

Texas A&M U., College Station, Texas.<br />

Contacts<br />

Bob Wattenbarger<br />

979.845.0173<br />

bob.wattenbarger@pe.tamu.edu<br />

Rasheed Bello<br />

CRISMAN INSTITUTE<br />

23


An Analytical Approach to Model Shale Gas Reservoir Flow Including Desorption<br />

Effects<br />

Objectives<br />

The objective <strong>of</strong> this work is to develop a semianalytical<br />

model to represent the pressure-time<br />

performance <strong>of</strong> shale gas reservoirs including<br />

desorption. To achieve this goal, we have developed<br />

a suite <strong>of</strong> simulation cases to study the effect <strong>of</strong><br />

the desorption term, reservoir properties (primarily<br />

permeability), and gas flowrates. We have<br />

formulated a “dimensionless” form <strong>of</strong> the viscositycompressibility<br />

product as a mechanism to visualize<br />

and characterize the non-linear behavior <strong>of</strong> this<br />

case.<br />

Approach<br />

The “diffusivity equation” including desorption (as<br />

an effective compressibility, c e<br />

) is given as:<br />

1 p<br />

p gicei<br />

g ce<br />

p<br />

r<br />

<br />

r r<br />

r<br />

k <br />

gicei<br />

<br />

t<br />

Where<br />

c <br />

m gSC<br />

VL<br />

pL<br />

ce<br />

cg<br />

<br />

<br />

2<br />

[ p p]<br />

We use numerical simulation to generate a suite<br />

<strong>of</strong> constant rate pressure-time responses for an<br />

infinite-acting circular reservoir. The behavior <strong>of</strong><br />

the nonlinearity (i.e., μ g<br />

c e<br />

) was studied for specific<br />

reservoir properties and flowrate. Using these<br />

results we developed an appropriate dimensionless<br />

time function (t D<br />

) to account for the effects due to<br />

desorption and formation permeability.<br />

In addition to a dimensionless time function, we<br />

also created a dimensionless rate function (q D<br />

),<br />

which accounts for permeability and flowrate. In<br />

Fig. 1 we present the overall “correlation” <strong>of</strong> the<br />

non-linear term as functions <strong>of</strong> dimensionless time<br />

and rate.<br />

Significance<br />

» The non-linear desorption term can be expressed<br />

as an effective compressibility term in the gas<br />

diffusivity equation.<br />

» The effects <strong>of</strong> desorption can be incorporated into<br />

an appropriately defined dimensionless time.<br />

» The effects <strong>of</strong> reservoir properties and flowrate<br />

can be incorporated in an appropriately defined<br />

dimensionless rate.<br />

g<br />

L<br />

p<br />

Fig. 1. Overall “correlation” <strong>of</strong> the non-linear term, presented as functions<br />

<strong>of</strong> dimensionless time and rate.<br />

» For higher values <strong>of</strong> the flowrate (or dimensionless<br />

flowrate), the non-linear term becomes more<br />

dominant (deviates from liquid flow theory).<br />

Future Work<br />

» Develop an exhaustive sequence <strong>of</strong> cases to<br />

investigate the non-linear behavior caused by<br />

pressure-dependent gas expansion and gas<br />

desorption.<br />

» Develop a semi-analytical solution for the pressuretime<br />

behavior <strong>of</strong> this case based on the correlation<br />

<strong>of</strong> the non-linearity.<br />

Project Information<br />

1.2.9 Modeling Shale Gas Reservoir Performance<br />

Related Publications<br />

Bumb, A.C. and McKee, C.R. Gas-Well Testing in the<br />

Presence <strong>of</strong> Desorption for Coalbed Methane and Devonian<br />

Shale. SPEFE (March 1988): 179-185.<br />

Contacts<br />

Tom Blasingame<br />

979.845.2292<br />

t-blasingame@tamu.edu<br />

Sonia Jam<br />

CRISMAN INSTITUTE<br />

24<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Water Production Issues in the Barnett Shale<br />

Objectives<br />

The objectives <strong>of</strong> this research project were as<br />

follows:<br />

» Determine in a quantitative sense the effect <strong>of</strong><br />

water production on gas production in gas shales.<br />

» Identify the different water producing mechanisms<br />

in the Barnett Shale and characterize them based<br />

on production data.<br />

» Determine the relationship between well location,<br />

reservoir, fracturing treatment/completion data<br />

and water production.<br />

Our focus was an analysis <strong>of</strong> data available from<br />

the Barnett Shale using descriptive statistical and<br />

virtual intelligence techniques.<br />

Approach<br />

A Barnett Shale water production dataset from<br />

approximately 11,000 completions was analyzed<br />

using conventional statistical techniques. Additionally,<br />

a water-hydrocarbon ratio and first derivative<br />

diagnostic plot technique developed elsewhere for<br />

conventional reservoirs was extended to analyze<br />

Barnett Shale water production mechanisms. In<br />

order to determine hidden structure in well and<br />

production data, self-organizing maps and the<br />

k-means algorithm were used to identify clusters<br />

in data. A competitive learning based network<br />

was used to predict the potential for continuous<br />

water production from a new well. A feed-forward<br />

neural network was used to predict average water<br />

production for wells drilled in the Denton and Parker<br />

Counties <strong>of</strong> the Barnett Shale (Fig. 1).<br />

Self organized maps<br />

K-means algorithm<br />

Competitive learning<br />

Vector quantizer<br />

Neural networks<br />

Enable us see how<br />

data are clustered<br />

Enable us determine optimum<br />

number <strong>of</strong> clusters<br />

Enable us partition dataset<br />

into class <strong>of</strong> water producers<br />

and non-water producers<br />

Prediction <strong>of</strong> average<br />

water/gas production<br />

Fig. 1. Utility <strong>of</strong> various virtual intelligence routines.<br />

Accomplishments<br />

Using conventional techniques, we conclude that<br />

for wells <strong>of</strong> the same completion type, location is<br />

more important than time <strong>of</strong> completion or hydraulic<br />

fracturing strategy. Liquid loading has the potential<br />

to affect vertical more than horizontal wells (Fig.<br />

2). A MATLAB-based neural network tool was<br />

Flowing wellhead pressure (psia)<br />

2500<br />

2000<br />

1500<br />

1000<br />

500<br />

Minimum Required Flow Rate (Mcfd) vs WHP (psi)<br />

0<br />

0 200 400 600 800 1000 1200 1400 1600 1800 2000<br />

Average vertical<br />

well in Denton<br />

No Liquid Loading<br />

Minimum Required Flow Rate to prevent liquid loading (Mcfd)<br />

Fig. 2. Predictive Chart for onset <strong>of</strong> liquid loading in the Barnett Shale.<br />

(continued on next page)<br />

Liquid Loading<br />

region<br />

Average vertical<br />

well in Parker<br />

Average horizontal<br />

well in Denton<br />

CRISMAN INSTITUTE<br />

Project Information<br />

1.2.10 Shale Gas Water Production Issues<br />

Average horizontal<br />

well in Parker<br />

Related Publications<br />

Awoleke, O.O. <strong>2009</strong>. Analysis <strong>of</strong> Data from the Barnett<br />

Shale with Conventional Statistical and Virtual Intelligence<br />

Techniques. MS Thesis. Texas A&M U., College Station,<br />

Texas.<br />

Awoleke, O.O., Lane, R.H. Analysis <strong>of</strong> Data from the Barnett<br />

Shale Using Conventional Statistical and Virtual Intelligence<br />

Techniques. SPE Paper 127919 to be presented at the 2010<br />

SPE International Symposium and Exhibition on Formation<br />

Damage Control, Lafayette, Louisiana, 10–12 February.<br />

Contacts<br />

Robert Lane<br />

979.862.7654<br />

robert.lane@pe.tamu.edu<br />

Obadare Awoleke<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

25


P90<br />

P50<br />

P10<br />

Fig. 3. P10, P50 and P90 predictions <strong>of</strong> water production for horizontal<br />

wells drilled in the Parker County <strong>of</strong> the Barnett Shale.<br />

developed to predict average water production for<br />

Barnett Shale wells in Denton and Parker Counties<br />

(Fig. 3). The average prediction error for the tool<br />

varied between 10-26%, depending on well type<br />

and location.<br />

Significance<br />

Results from this work can be utilized to mitigate<br />

risk <strong>of</strong> water problems in new Barnett Shale wells<br />

and predict water issues in other shale plays.<br />

Engineers are provided a tool to predict potential<br />

for water production in new wells. The methodology<br />

used to develop this tool can be used to solve similar<br />

challenges in new and existing shale plays.<br />

26<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Enhanced Oil Refining Technology through E-Beam Thermal Cracking<br />

Objectives<br />

One <strong>of</strong> the critical problems with heavy oil and bitumen<br />

is that they require large amounts <strong>of</strong> thermal energy<br />

and expensive catalysts to upgrade. This research<br />

demonstrates that electron beam (E-Beam) heavy<br />

oil upgrading, which uses unique features <strong>of</strong> E-Beam<br />

irradiation, may be used to improve conventional<br />

heavy oil upgrading. E-Beam processing lowers the<br />

thermal energy requirements and could sharply<br />

reduce the investment in catalysts. The design <strong>of</strong><br />

the facilities can be simpler and will contribute to<br />

lowering the costs <strong>of</strong> transporting and processing<br />

heavy oil and bitumen. The main objective <strong>of</strong> this<br />

research is to investigate the effects <strong>of</strong> E-Beam<br />

irradiation on hydrocarbons and evaluate economics<br />

and potential applications <strong>of</strong> E-Beam technology<br />

throughout petroleum industry.<br />

a preliminary economic analysis based on energy<br />

consumption and comparing the economics <strong>of</strong><br />

E-Beam upgrading with conventional upgrading.<br />

Accomplishments<br />

We studied pure n-C 16<br />

, a naphtha cut, a combination<br />

<strong>of</strong> a well-defined hydrocarbon group, and asphaltene<br />

to evaluate the effect <strong>of</strong> radiation on heavy and<br />

very viscous components. To estimate the energy<br />

transfer mechanism in the system, we conducted<br />

two simulations: heat transfer simulation using<br />

computational fluid dynamics (CFD), and radiation<br />

transport Monte-Carlo simulation. With the results<br />

we obtained from the laboratory investigations, we<br />

proposed potential applications <strong>of</strong> this technology.<br />

In addition, we conducted a preliminary economic<br />

evaluation to compare E-Beam upgrading and<br />

conventional upgrading based on the energy used<br />

in each process.<br />

Significance<br />

The results <strong>of</strong> our study are very encouraging. From<br />

the experiments, we found that E-Beam effect on<br />

hydrocarbon is significant. We used less thermal<br />

(continued on next page)<br />

CRISMAN INSTITUTE<br />

A conceptual design <strong>of</strong> pipeline heavy oil upgrading. Electrons with high<br />

kinetic energy are generated by two E-Beam machines. These electrons<br />

enter the heavy oil and break the heavy molecules <strong>of</strong> the heavy oil.<br />

Approach<br />

Based on an intensive brainstorming with experts<br />

in the industry and an extensive literature review<br />

<strong>of</strong> past and current research, we set up three<br />

major stages to evaluate the applicability <strong>of</strong><br />

E-Beam for heavy oil upgrading. First, we planned<br />

laboratory experiments to investigate the effects <strong>of</strong><br />

E-Beam on hydrocarbons. We used a Van de Graff<br />

accelerator, which generates the high kinetic energy<br />

<strong>of</strong> electrons, and a laboratory scale apparatus to<br />

investigate extensively what effect radiation has<br />

on hydrocarbons. Second, we planned to study the<br />

energy transfer mechanism <strong>of</strong> E-Beam upgrading<br />

to optimize the process. Third, we planned to make<br />

Project Information<br />

1.3.4 Enhanced Oil Refining Technology through E-Beam<br />

Thermal Cracking<br />

Related Publications<br />

Yang, D., Kim, J., Silva, P., Barrufet, M. Moreira, R., and<br />

Sosa, J. Laboratory Investigation <strong>of</strong> E-Beam Heavy Oil<br />

Upgrading. Paper SPE 121911, presented at the <strong>2009</strong><br />

SPE Latin American and Caribbean Petroleum Engineering<br />

Conference, Cartagena, Columbia, 31 May-3 June.<br />

Yang, D.: <strong>2009</strong>. Heavy Oil Upgrading from Electron Beam<br />

(E-Beam) Irradiation. MS thesis. Texas A&M U., College<br />

Station, Texas.<br />

Contacts<br />

Maria Barrufet<br />

979.845.0314<br />

maria.barrufet@pe.tamu.edu<br />

Daegil Yang<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

27


Density distribution from heat transfer simulation and corresponding<br />

radiation amount distribution <strong>of</strong> multiphase n-C16 at 2.0 cm (a), 4.0 cm<br />

(b), and 6.0 cm (c) from the bottom <strong>of</strong> the reactor.<br />

energy for distillation <strong>of</strong> n-hexadecane (n-C 16<br />

) and<br />

naphtha with E-Beam. The results <strong>of</strong> experiments<br />

with asphaltene indicate that E-Beam enhances<br />

the decomposition <strong>of</strong> heavy hydrocarbon molecules<br />

and improves the quality <strong>of</strong> upgraded hydrocarbon.<br />

From the study <strong>of</strong> energy transfer mechanism, we<br />

estimated heat loss, fluid movement, and radiation<br />

energy distribution during the reaction. The results<br />

<strong>of</strong> our economic evaluation show that E-Beam<br />

upgrading appears to be economically feasible<br />

in petroleum industry applications. These results<br />

indicate significant potential for the application<br />

<strong>of</strong> E-Beam technology throughout the petroleum<br />

industry, particularly near production facilities,<br />

transportation pipelines, and refining industry.<br />

28<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Experimental Investigation <strong>of</strong> Caustic Steam Injection for Heavy Oils<br />

Introduction<br />

Heavy oil is a part <strong>of</strong> the unconventional petroleum<br />

reserve. Heavy oil does not flow very easily and<br />

is classified as heavy because <strong>of</strong> its high specific<br />

gravity. With increasing demand for oil and with<br />

depleting light oil resources, it is essential to explore<br />

the unconventional petroleum reserve <strong>of</strong> which<br />

heavy oil constitutes a major part, about 15% <strong>of</strong> the<br />

world’s remaining oil reserves.<br />

Objectives<br />

An experimental study was conducted to compare<br />

the effect <strong>of</strong> steam injection and caustic steam<br />

injection in improving the recovery <strong>of</strong> San Ardo and<br />

Duri heavy oils.<br />

Approach<br />

A 67 cm long x 7.4 cm O.D (outer diameter),<br />

steel injection cell was used in the study. Six<br />

thermocouples were placed at specific distances<br />

in the injection cell to record temperature pr<strong>of</strong>iles<br />

and thus the steam front velocity. The injection cell<br />

was filled with a mixture <strong>of</strong> oil, water and sand.<br />

Steam was injected at superheated conditions <strong>of</strong><br />

238°C with the cell outlet pressure set at 200 psig,<br />

the cell pressure similar to that found in San Ardo<br />

field. The pressure in the separators was kept at 50<br />

psig. The separator liquid was sampled at regular<br />

intervals. The liquid was centrifuged to determine<br />

the oil and water volumes, and oil viscosity, density<br />

and recovery. Acid number measurements were<br />

made by the titration method using a pH meter and<br />

measuring the EMF values. The interfacial tensions<br />

<strong>of</strong> the oil for different concentrations <strong>of</strong> NaOH were<br />

also measured using a tensionometer.<br />

Accomplishments<br />

Experimental results show that for Duri oil, the<br />

addition <strong>of</strong> caustic results in an increase in recovery<br />

<strong>of</strong> oil from 52% (steam injection) to 59% (caustic<br />

steam injection). However, caustic has little effect<br />

on San Ardo oil where oil recovery is 75% (steam<br />

injection) and 76 % (caustic steam injection).<br />

Significance<br />

Oil production acceleration is seen with steam-caustic<br />

injection. With steam caustic injection there is also a<br />

decrease in the produced oil viscosity and density for<br />

both oils. Sodium hydroxide concentration <strong>of</strong> 1 wt%<br />

is observed to give the lowest oil-caustic interfacial<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

tension. The acid numbers for San Ardo and Duri oil<br />

are measured as 6.2 and 3.57 respectively.<br />

Future Work<br />

The following are the main recommendations for<br />

future research:<br />

» To study further the effect <strong>of</strong> sodium hydroxide<br />

on different kinds <strong>of</strong> oils and to understand the<br />

effect <strong>of</strong> the acids present in the oil in reducing<br />

interfacial tension.<br />

» To conduct the experiments on previously<br />

waterflooded sandpacks for very heavy oils like<br />

San Ardo.<br />

» Core flooding would also be helpful in understanding<br />

the process <strong>of</strong> alkaline steam flooding with both<br />

heavy and lighter oils.<br />

» To test the combination <strong>of</strong> sodium hydroxide<br />

with additives which form the basis for alkaline<br />

surfactant process–as in Alkaline Surfactant<br />

Polymer (ASP) injection-in improving the recovery<br />

<strong>of</strong> oil.<br />

» To test non-thermal means <strong>of</strong> caustic flooding for<br />

heavy oils.<br />

Project Information<br />

1.3.12 Experimental and Simulation Studies <strong>of</strong> Heavy Oil<br />

Recovery using Steam and Steam Additives<br />

Related Publications<br />

Madhaven, R.: <strong>2009</strong>. Experimental Investigation <strong>of</strong> Caustic<br />

Steam Injection for Heavy Oils. MS thesis. Texas A&M U.,<br />

College Station, Texas.<br />

Contacts<br />

Daulat Mamora<br />

979.845.2962<br />

daulat.mamora@pe.tamu.edu<br />

Rajiv Madhaven<br />

CRISMAN INSTITUTE<br />

29


Experimental and Simulation Modeling Studies <strong>of</strong> Steam Assisted Gravity<br />

Objectives<br />

Our main research objectives are to conduct<br />

experimental and simulation modeling studies to<br />

investigate oil recovery mechanisms and steam<br />

injection efficiency during production <strong>of</strong> heavy oil<br />

under Steam Assisted Gravity Drainage (SAGD).<br />

Additionally, the research will also investigate the<br />

feasibility <strong>of</strong> petroleum distillates as steam additives<br />

to improve SAGD efficiency.<br />

Approach<br />

A 2-D scaled physical model made <strong>of</strong> Teflon has been<br />

fabricated and successfully pressure tested. The<br />

physical model will contain the sand mix, consisting<br />

<strong>of</strong> sand and heavy oil (Athabasca oil). Expansion<br />

<strong>of</strong> the steam chamber, its shape and area, and<br />

temperature distribution (Fig.1) will be visualized<br />

using a thermal (infra-red) video camera. Isotherms<br />

and steam chamber interface will be analyzed to<br />

study oil recovery and drainage mechanisms. Other<br />

data including model pressure, steam injection rate,<br />

oil and water production volumes will be recorded<br />

using a data logger and a personal computer.<br />

Simulation will be conducted to investigate the effect<br />

<strong>of</strong> different solvent types and ratios on production<br />

performance.<br />

efficiency and steam injections. Co-injecting low<br />

concentration ratios <strong>of</strong> multi-component solvents can<br />

deliver higher production rates and recovery factors<br />

along with taking advantage <strong>of</strong> both vaporized and<br />

liquid solvents.<br />

Experimental work will be continued to investigate<br />

SAGD performance and steam injection efficiency<br />

using Athabasca oil. Pure steam injection, coinjecting<br />

different solvent, including pure solvent<br />

and solvent mixture, and different solvent ratio<br />

conditions will be studied.<br />

Fig. 2. SAGD simulation shows the effect <strong>of</strong> different solvent types and<br />

ratios on oil displacement.<br />

CRISMAN INSTITUTE<br />

Fig. 1. Typical photo captured by thermal (infra-red) video camera to<br />

show steam chamber temperature distribution.<br />

Accomplishments<br />

Simulation <strong>of</strong> SAGD using CMG has been performed.<br />

Results show solvent types and ratios affect<br />

production performance (Fig.2). Meanwhile,<br />

vaporized solvent can be delivered by steam to<br />

the entire steam chamber to reduce the bitumen<br />

viscosity. Liquid solvent accelerates near-well bore<br />

flow, and so improves the mobility oil drainage<br />

Project Information<br />

1.3.13 Experimental and Analytical Modeling Studies <strong>of</strong><br />

Steam Assisted Gravity Drainage (SAGD) with NaOH and<br />

Petroleum Distillate as Steam Additives<br />

Related Publications<br />

Butler, R.M. 1991 Thermal Recovery <strong>of</strong> Oil & Bitumen, 285-<br />

359. Prentice Hall Inc., New Jersey.<br />

Nasr, T.N., Beaulieu, G., Golbeck, H. and Heck, G. Novel<br />

expanding solvent-SAGD process “ES-SAGD”. January<br />

2003. J. Cdn. Pet. Tech. 42 (1): 13-16<br />

Contacts<br />

Daulat Mamora<br />

979.845.2962<br />

daulat.mamora@pe.tamu.edu<br />

Weiqiang Li<br />

30<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


In-Situ Oil Upgrading using Tetralin (C 10<br />

H 12<br />

) Hydrogen Donor and Fe(acac) 3<br />

Catalyst at Steam Injection Pressure and Temperature<br />

Objectives<br />

In-situ upgrading has advantages over conventional<br />

surface upgrading technology. First, in-situ upgrading<br />

enhances oil recovery, increases well production,<br />

and lowers lifting and transportation costs from<br />

reservoir to refinery. It eliminates the cost <strong>of</strong> building<br />

catalytic reactors or vessels. The in-situ process can<br />

be applied onshore or <strong>of</strong>fshore as well as in remote<br />

locations where surface facilities may be prohibited.<br />

Second, in-situ upgrading can be applied on a wellto-well<br />

basis, and thus can be adjusted for declining<br />

production rates whereas surface processing are<br />

designed for a specified range <strong>of</strong> crude volume.<br />

Third, implementation <strong>of</strong> in-situ upgrading reduces<br />

energy consumption since the same energy from<br />

steam injection is used to produce and upgrade the<br />

oil. Finally, in-situ upgrading is more environmentally<br />

friendly, yielding lower quantities <strong>of</strong> byproducts that<br />

reduce disposal expenditures.<br />

The main objectives <strong>of</strong> the research are as follows:<br />

» Follow up on research by Ahmad Mohammad, for<br />

example, in-situ oil upgrading using tetralin (C 10<br />

H 12<br />

)<br />

and Fe(CH 3<br />

COCHCOCH 3<br />

) 3<br />

[i.e., Fe(acac) 3<br />

] catalyst<br />

at steam injection pressure and temperature as<br />

found in the field.<br />

» Make runs in which we inject a slug or slugs <strong>of</strong><br />

tetralin/catalyst followed by steam injection.<br />

» Simulate longer injection periods in the experiments<br />

by making runs for several days, stopping at the<br />

end <strong>of</strong> each day.<br />

» Make runs using a reactor cell and synthetic oil<br />

made <strong>of</strong> several pure components (similar to<br />

Ramirez’s PhD research). Analyze any change<br />

in synthetic oil composition by GC analysis. This<br />

type <strong>of</strong> experiment will help us determine which<br />

components are upgraded by tetralin/catalyst, and<br />

then extrapolate the results to actual oil.<br />

» For both displacement and reactor cell experiments,<br />

investigate the effect <strong>of</strong> steam-surfactant injection<br />

to lower IFT and thus increase recovery factor.<br />

Approach<br />

For reactor cell experiments, one single hydrocarbon<br />

component will be used for each run. The hydrocarbon<br />

component, water, tetralin, and catalyst are<br />

mixed in the cell and then pressurized and heated<br />

to reservoir steam flooding conditions for a period<br />

<strong>of</strong> time. At the end <strong>of</strong> the run, a sample <strong>of</strong> the<br />

liquid from the cell is removed and its composition<br />

analyzed using a GC.<br />

For injection tests, the experimental apparatus (Fig<br />

1) is made up <strong>of</strong> four main parts: injection cell, fluid<br />

injection system, fluid production system, and data<br />

recording system.<br />

The experimental procedure is as follows:<br />

(1) Prepare sand/water/oil mixture, (2) Tamp<br />

mixture into injection cell and pressure test, (3)<br />

Install injection cell into vacuum jacket and pressure<br />

test whole system, (4) Set heating jacket to reservoir<br />

temperature and leave overnight, (5) Condition<br />

steam generator and pressurize injection cell, (6)<br />

Start tetralin or tetralin-catalyst injections (only for<br />

injection runs), and (7) Start steam injection and<br />

collect samples.<br />

Accomplishments<br />

Set up reactor cell, GC and other equipment, and<br />

investigated chemical requirements for research.<br />

Reviewed papers and books on oil upgrading using<br />

tetralin/catalyst.<br />

(continued on next page)<br />

Project Information<br />

1.3.17 Experimental Studies <strong>of</strong> Non-Thermal EOR Methods<br />

for Heavy and Light Oil Recovery<br />

Related Publications<br />

Mohammad, A. A. and Mamora, D. D. In-Situ Upgrading <strong>of</strong><br />

Heavy Oil under Steam Injection with Tetralin and Catalyst,<br />

Paper presented at the 2008 International Thermal<br />

Operations and Heavy Oil Symposiums, Calgary, Alberta,<br />

Canada, 20-23 October.<br />

Contacts<br />

Daulat Mamora<br />

979.845.2962<br />

daulat.mamora@pe.tamu.edu<br />

Zhiyong Zhang<br />

CRISMAN INSTITUTE<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

31


Fig. 1. Set up <strong>of</strong> displacement apparatus.<br />

32<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Artificial Geothermal Energy Potential <strong>of</strong> Steam-Flooded Heavy Oil Reservoirs<br />

Objectives<br />

The concept <strong>of</strong> harnessing geothermal potential<br />

<strong>of</strong> heavy oil reservoirs with the coproduction <strong>of</strong><br />

incremental oil recovery using hot water injection<br />

will be investigated. Rather than abandon the<br />

heavy oil field once it becomes uneconomic,<br />

remaining geothermal energy from a steamflood<br />

or hot waterflood process that has been trapped<br />

in reservoir rock could be recovered. Preliminary<br />

results <strong>of</strong> a study <strong>of</strong> geothermal energy harvesting<br />

in a synthetic model using numerical reservoir<br />

simulation showed possible achievement <strong>of</strong> this<br />

concept. We will analyze economics <strong>of</strong> the overall<br />

project composed <strong>of</strong> reservoirs, wells, and surface<br />

facilities to show the feasibility <strong>of</strong> this project to<br />

extend the life <strong>of</strong> a heavy-oil field by means <strong>of</strong> the<br />

heat-recovery phase after the oil-recovery phase.<br />

Approach<br />

We have developed the synthetic reservoir model<br />

representing the analogue field from classical heavy<br />

oil fields. The model represents a pattern <strong>of</strong> inverted<br />

five-spot steamflood process in the heavy oil reservoir<br />

with homogenous properties. We have investigated<br />

the production and heat pr<strong>of</strong>iles in the period <strong>of</strong> hot<br />

water injection after 90% water cut is observed. We<br />

have conducted the sensitivity analysis to identify<br />

the effect <strong>of</strong> reservoir/design parameters on heat<br />

recovery. Also, we have estimated the possible<br />

range <strong>of</strong> heat recovery, pressure, and temperature<br />

at bottomhole conditions resulting from hot water<br />

injection. Those outputs will be used to model<br />

heat loss in the injection and production well by<br />

using typical well completions for thermal process.<br />

Then, we will integrate the wellbore model with the<br />

reservoir simulation model to quantify the overall<br />

heat efficiency based on heat input from hot water<br />

injection. Finally, the economic evaluation will be<br />

conducted to verify whether this proposed concept<br />

is feasible.<br />

Accomplishments<br />

Sensitivity analysis <strong>of</strong> reservoir/design parameters<br />

focused on five group parameters: reservoir<br />

geometry, reservoir rock properties, reservoir<br />

initial condition, oil viscosity, and steam injection<br />

conditions. Based on our analog field, the range <strong>of</strong><br />

heat recovery at bottomhole conditions could vary<br />

from 70% to 95% by using <strong>of</strong> hot waterflood to<br />

extract residual heat from the steamflood process.<br />

Besides, we have observed heavier oil components<br />

resided at the very bottom <strong>of</strong> the reservoir, resulting<br />

from gravitational segregation effects by thermal<br />

processes. This allows performing the horizontal<br />

infill drilling to improve the economics <strong>of</strong> the project.<br />

The result from a reservoir simulation study will be<br />

integrated with the wellbore model to investigate<br />

the heat transfer inside the well at the later stage.<br />

Energy efficiency (%)<br />

95<br />

90<br />

base<br />

87%<br />

85<br />

80<br />

75<br />

70<br />

Sensitivity <strong>of</strong> parameters to energy efficiencies during hot water flooding period<br />

Res.<br />

Geometries<br />

300<br />

2<br />

5<br />

Area (acre)<br />

50<br />

Thickness (ft)<br />

25<br />

35<br />

Porosity (%)<br />

Rock<br />

Properties<br />

5000<br />

1000<br />

Permeability (md)<br />

Sensitivity analysis indicates that we could recover the heat at least 70%<br />

<strong>of</strong> heat inputs by using hot water injection.<br />

CRISMAN INSTITUTE<br />

Project Information<br />

1.3.19 Harnessing the Geothermal Energy Potential <strong>of</strong><br />

Heavy Oil Reserves<br />

Contacts<br />

Gioia Falcone<br />

979.847.8912<br />

gioia.falcone@pe.tamu.edu<br />

Catalin Teodoriu<br />

catalin.teodoriu@pe.tamu.edu<br />

Akkharachai Limpasurat<br />

SS<br />

LS<br />

Lithology<br />

Res. Initial<br />

Condition<br />

600<br />

100<br />

Initial reservoir<br />

pressure (psi)<br />

90<br />

130<br />

Initial reservoir<br />

temperature (°F)<br />

Viscosity<br />

1000<br />

4484<br />

viscosity (cp)<br />

500<br />

250<br />

Steam injection rate<br />

(BCWE/day)<br />

Steam Injection<br />

Condition<br />

500<br />

250<br />

Steam injection<br />

temperature (°F)<br />

2500<br />

1500<br />

Steam injection<br />

pressure (psi)<br />

dry<br />

wet<br />

Steam quality<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

33


Study <strong>of</strong> Solvent-Based Emulsion Injection to Improve Sweep and Displacement<br />

Efficiency in Heavy Oil Reservoir<br />

Introduction<br />

About two-thirds <strong>of</strong> the original oil in reservoirs is left<br />

behind, even after gas injection or water-flooding.<br />

However most <strong>of</strong> the oil contacted by a solvent<br />

may be recovered, as a solvent is miscible with<br />

reservoir oil. Unfortunately, the low solvent viscosity<br />

results in unfavorable mobility ratio and poor sweep<br />

efficiency particularly in heavy oil reservoirs. Thus<br />

this research investigates residual oil reduction<br />

by solvent and sweep efficiency improvement by<br />

emulsion.<br />

Objectives<br />

This research has two parts:<br />

Experimental research<br />

Main objectives are as follows:<br />

» Investigate the feasibility <strong>of</strong> solvent-based<br />

emulsion flooding to improve displacement and<br />

sweep efficiency in heavy oil reservoirs<br />

» Conduct core-flood experiments to compare<br />

recovery efficiency using various emulsions after<br />

water-flooding.<br />

Fig. 1. Emulsion ternary phase diagram.<br />

the ternary phase diagram shown in Fig. 1. Emulsion<br />

containing 5wt% silica nanoparticles shows a higher<br />

viscosity than emulsion without nanoparticles (Fig.<br />

2). Cores have been scanned to measure porosity<br />

and initial oil and water saturations (Fig. 3).<br />

Simulation study<br />

Main research objectives are as follows:<br />

» Perform history matching <strong>of</strong> the experimental<br />

results using CMG<br />

» Conduct simulation study <strong>of</strong> sweep efficiency in a<br />

5-spot well pattern.<br />

Approach<br />

This research has two parts, namely, experiments<br />

and simulation study. First, a bench test is performed<br />

to get the emulsion system properties, such as<br />

viscosity, IFT, and ternary phase diagram. Based on<br />

the bench test results, the optimized emulsions are<br />

chosen to perform the core flooding experiments.<br />

Second, different core flooding experiments are<br />

conducted to investigate the effect <strong>of</strong> these emulsions<br />

on oil recovery. The aluminum coreholder will be<br />

x-ray CT scanned to measure residual oil saturation<br />

in the core. Lastly, a simulation will be conducted<br />

to history match the experiment results to enable a<br />

study <strong>of</strong> sweep efficiency for a 5-spot well pattern.<br />

Accomplishments<br />

The bench tests have been completed. The results<br />

showing micro- and macro-emulsions are plotted in<br />

34<br />

Project Information<br />

1.3.20 Microemulsion-Solvent Injection to Improve Sweep<br />

and Displacement Efficiency <strong>of</strong> Heavy and Light Oil<br />

Related Publications<br />

Willhite, G.P., Green, D.W., Okoye, D.M., and Looney, M.D.<br />

A Study <strong>of</strong> Oil Displacement by Microemulsion Systems:<br />

Mechanisms and Phase Behavior. SPE-7580.<br />

Contacts<br />

Daulat Mamora<br />

979.845.2962<br />

daulat.mamora@pe.tamu.edu<br />

Fangda Qiu<br />

CRISMAN INSTITUTE<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


1000<br />

Viscosity vs Shear Rate<br />

Emulsion with 5wt% nanoparticles<br />

Emulsion without nanoparticles<br />

Viscosity (cp)<br />

100<br />

10<br />

1<br />

0.1<br />

1<br />

10<br />

Shear Rate (sec -1 )<br />

100<br />

1000<br />

Fig. 2. Emulsion rheology diagram.<br />

Fig. 3. CT-scan <strong>of</strong> dry core.<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

35


Investigation <strong>of</strong> Hybrid Steam-Solvent Processes to Increase Efficiency <strong>of</strong> Thermal<br />

Oil Recovery Methods<br />

Objectives<br />

Steam assisted gravity drainage (SAGD) has received<br />

considerable attention as a proven technique to<br />

recover heavy oil and bitumen which are immobile<br />

at reservoir conditions. The main drawbacks <strong>of</strong> this<br />

process are high energy intensity (steam generation<br />

requirements) and environmental issues.<br />

The addition <strong>of</strong> light hydrocarbon solvents to steam is<br />

the simplest and most important approach to improve<br />

SAGD process and reduce potential problems. Main<br />

benefits possibly obtained by a hybrid steam solvent<br />

process include: reduced Steam Oil Ratio, reduced<br />

environmental impact, increased recovery via<br />

reduced S or<br />

, reduced capital to startup and enhanced<br />

well productivity. Principal challenges are the choice<br />

<strong>of</strong> solvent and concentration and operating strategy.<br />

Our main research objective is to reduce energy<br />

intensity <strong>of</strong> SAGD process by using solvents<br />

and investigate the effect <strong>of</strong> different operating<br />

strategies. Key tasks are to evaluate the effect on<br />

oil recovery <strong>of</strong> the following:<br />

» Solvents, (e.g., butane, hexane and condensates)<br />

» Solvent concentration<br />

» Injection types (e.g., cyclic steam solvent injection)<br />

Fig. 1. Simulation results <strong>of</strong> oil recovery.<br />

with increasing concentration. The aluminum 2D<br />

cylindrical model is under construction. The sandmix<br />

space has an inner radius <strong>of</strong> 4 in, 1-in thickness, and<br />

10-in height, and will be lined with insulating Teflon<br />

layers (Fig. 2). The experimental set up is shown<br />

in Fig. 3.<br />

Approach<br />

Experiments will be carried out in a scaled 2D<br />

cylindrical cell to evaluate the effect <strong>of</strong> steam-solvent<br />

processes. Pujol and Boberg’s scaling method has<br />

been used to design the model. Advantages <strong>of</strong> the<br />

cylindrical model are the relatively high pressure<br />

capability without a pressure jacket, the use <strong>of</strong> inner<br />

thermal insulation, and the ability to conduct gravity<br />

drainage experiments (e.g., VAPEX, SAGD). Oil and<br />

water production, gas composition, and temperature<br />

would be measured and analyzed. Numerical<br />

simulation will be used for parametric studies.<br />

Accomplishments<br />

Compositional reservoir simulation studies <strong>of</strong> Cold<br />

Lake bitumen were performed to investigate the<br />

effect <strong>of</strong> solvent type and concentration on recovery<br />

under SAGD at 220°C and 3100 kpa (450 psia)<br />

(Fig. 1). With C5-C7 as solvents, bitumen recovery<br />

increases to about 80% at 20 wt%. C2 and C3<br />

however exist as vapor and act as thermal insulators<br />

at the steam-bitumen interface, reducing recovery<br />

Project Information<br />

1.3.22 Investigation <strong>of</strong> Hybrid Steam-Solvent Injection to<br />

Increase Efficiency <strong>of</strong> Thermal Oil Recovery Processes<br />

Related Publications<br />

Nasr T.N., and Ayodele O.R. New Hybrid Steam-Solvent<br />

Processes for the Recovery <strong>of</strong> Heavy Oil and Bitumen.<br />

Paper SPE 101717, presented at the 2006 International<br />

Petroleum Exhibition and Conference, Abu Dubai, UAE, 5-8<br />

November.<br />

Ayodele, O.R., et al. Laboratory Experimental Testing<br />

and Development <strong>of</strong> an Efficient Low Pressure ES-SAGD<br />

Process. <strong>2009</strong>. J. Cdn Pet. Tech. 48 (9).<br />

Contacts<br />

Daulat Mamora<br />

979.845.2962<br />

daulat.mamora@pe.tamu.edu<br />

Mojtaba Ardali<br />

CRISMAN INSTITUTE<br />

36<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Fig. 2. Scaled 2D cylindrical cell.<br />

Fig. 3. Schematic diagram <strong>of</strong> experimental set up.<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

37


Experimental Studies <strong>of</strong> Steam Injection with Surfactant for Enhancing Heavy Oil<br />

Recovery after Waterflooding<br />

Objectives<br />

Steam injection with added surface active chemicals<br />

is an EOR process aimed at recovering residual oil<br />

after primary production. Researchers have shown<br />

that after waterflooding, the oil swept area can be<br />

increased by steam surfactant due to reduced steam<br />

override effect and reduced interfacial tension<br />

between oil and water in the formation.<br />

was tamped into the cell.<br />

A 3.0 wt% nonionic surfactant Triton X-100 was coinjected<br />

with the steam superheated to 200°C and<br />

pressured to 100 psig. For the vertical cell runs,<br />

steam injection rates were 5.5 ml/min and 2.5 ml/<br />

min TX-100; for the horizontal cell runs, steam<br />

injection rates were 4.0 ml/min and 1.0 ml/min TX-<br />

100 solution.<br />

The main objective <strong>of</strong> this research is to evaluate the<br />

effect on oil recovery <strong>of</strong> steam surfactant injection<br />

compared to that <strong>of</strong> pure steam injection. The<br />

experimental study will use a 1D displacement cell<br />

containing a sand mix <strong>of</strong> 20.5°API California oil.<br />

Approach<br />

Two experimental models were used: a vertical<br />

cylindrical cell 67 cm long x 7.4 cm ID (Fig. 1) and<br />

Fig. 2. Horizontal cell.<br />

CRISMAN INSTITUTE<br />

Fig. 1. Vertical cell.<br />

a horizontal cell 110.5 cm long x 3.5 cm ID (Fig. 2).<br />

The horizontal smaller diameter cell is less subject to<br />

channeling and is therefore more representative <strong>of</strong><br />

one-dimensional steam injection process. A uniform<br />

mixture <strong>of</strong> sand, water and 20.5°API California oil<br />

Project Information<br />

1.3.23 Experimental Study <strong>of</strong> Steam Injection with<br />

Surfactants for Enhancing Heavy Oil Recovery<br />

Contacts<br />

Daulat Mamora<br />

979.845.2962<br />

daulat.mamora@pe.tamu.edu<br />

Dinmukhamed Sunnatov<br />

38<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Accomplishments<br />

The main conclusions <strong>of</strong> the study are made based<br />

on the horizontal cell runs.<br />

» For the two runs with steam surfactant, average<br />

oil recovery was 55% OIP compared to an average<br />

48% OIP with pure steam injection (Fig. 3).<br />

That is, the average incremental oil recovery with<br />

steam surfactant flood was 7.0% OIP above that<br />

with pure steam injection.<br />

» As the run progressed, viscosity at 23°C <strong>of</strong><br />

produced oil decreased from 497 cp to 13.4 cp<br />

(steam injection) and to 1.7 cp (steam surfactant<br />

injection). The oil gravity increased from 19.1°API<br />

to 35.0°AIP (steam injection) and to 36.6°API<br />

(steam-surfactant injection).<br />

60<br />

60<br />

50<br />

50<br />

SI oil recovery, % OIP<br />

40<br />

30<br />

20<br />

10<br />

cum. oil production SI<br />

cum. oil production 5<br />

cum. oil production 6<br />

40<br />

30<br />

20<br />

10<br />

SSI oil recovery, % OIP<br />

0<br />

0<br />

0 0.4 0.8 1.2 1.6 2.0<br />

Steam injected, PV<br />

Fig. 3. Oil recovery with steam-surfactant injection (55%) is 7% OIP<br />

more than that with steam injection (48%).<br />

Note that IFT’s for the average produced oil and<br />

water are smaller when compared to that <strong>of</strong> the<br />

original oil and water.<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

39


Combustion Assisted Gravity Drainage (CAGD): An In-Situ Combustion Method<br />

to Recover Heavy Oil and Bitumen from Geologic Formations using a Horizontal<br />

Injector-Producer Pair<br />

Objectives<br />

In-situ combustion (ISC) is a recovery process<br />

particularly suitable for heavy oil reservoirs at<br />

depths greater than 3500 ft when steam injection<br />

is not feasible due to severe wellbore heat losses.<br />

We have developed a method in which a horizontal<br />

air injector is placed above a horizontal producer<br />

(Fig. 1). In this Combustion Assisted Gravity<br />

Drainage (CAGD) method, a heated chamber is<br />

created that would more uniformly transfer heat<br />

from the combustion front. Mobilized oil is produced<br />

by gravity drainage to the lower horizontal well.<br />

Gravity segregation enhances air flow to propagate<br />

the combustion front. Main research objectives are<br />

as follows:<br />

» Assess CAGD using Computer Modelling Group<br />

(CMG) simulator<br />

» Conduct experiments using a scaled 3D physical<br />

model to test viability <strong>of</strong> CAGD for heavy oil and<br />

Cold Lake bitumen<br />

» Compare CAGD and toe-to-heel air injection<br />

(THAI) processes<br />

» Using CMG simulator, history-match laboratory<br />

CAGD results and scale up to field conditions<br />

experimental results and scale up to field conditions<br />

and evaluate CAGD.<br />

Accomplishments<br />

A 50 cm x 15 cm x 35 cm Cartesian simulation<br />

model was constructed representing the half<br />

symmetry element <strong>of</strong> a 750 m long x 56 m width x<br />

35 m thick drainage volume; we placed the injector<br />

at 7 m above the reservoir base with a producer<br />

5 m below the injector. The model was based on<br />

typical Athabasca oil and rock properties. Runs<br />

were made to compare CAGD with steam assisted<br />

gravity drainage (SAGD) and THAI. Results indicate<br />

CAGD to have the highest oil production with the<br />

lowest energy consumption (Figs. 2 and 3).<br />

The physical model, measuring 60 cm x 40 cm x 15<br />

cm, is nearly completed (Fig. 4). The steel sides<br />

will be lined with ceramic fiber insulation. Seventy<br />

two thermocouples will measure temperature in the<br />

sandmix with an operating pressure at about 30<br />

psig.<br />

CRISMAN INSTITUTE<br />

Fig. 1. Schematic illustration <strong>of</strong> CAGD.<br />

Approach<br />

We will conduct a simulation using CMG for a<br />

preliminary evaluation <strong>of</strong> CAGD. If simulation<br />

results show CAGD to be promising, we will conduct<br />

experimental runs using a physical model to evaluate<br />

performance <strong>of</strong> CAGD. We will also history match<br />

40<br />

Project Information<br />

1.3.24 Combustion Assisted Gravity Drainage (CAGD):<br />

An In-Situ Combustion Method to Recover Heavy Oil and<br />

Bitumen from Geologic Formations using a Horizontal<br />

Injector-Producer Pair<br />

Related Publications<br />

Greaves, M., Xia, T.X. and Turta, A.T. Stability <strong>of</strong> THAI<br />

Process-Theoretical and Experimental Observations. Paper<br />

presented at the 2007 Canadian International Petroleum<br />

Conference, Calgary, Alberta, 12-14 June.<br />

Contacts<br />

Daulat Mamora<br />

979.845.2962<br />

daulat.mamora@pe.tamu.edu<br />

Hamid Rahnema<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Fig. 2. Oil production rate for CAGD,THAI and SAGD.<br />

Fig. 3. Cumulative energy/oil ratio for CAGD,THAI and SAGD.<br />

Fig. 4. Scaled CAGD physical model.<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

41


Well Spacing and Infill Drilling in Coalbed Methane Reservoirs<br />

Objectives<br />

Reservoir simulation has been used to describe<br />

the mechanism <strong>of</strong> gas desorption and diffusion in<br />

coal to reflect the response <strong>of</strong> the reservoir system<br />

and the relationship among coalbed methane<br />

reservoir properties, operation procedures, and<br />

gas production. The objective <strong>of</strong> this work is to<br />

investigate well spacing and completion design<br />

practices under various development scenarios by<br />

using reservoir simulation.<br />

In a coal bed methane reservoir there is a natural<br />

fracture system which conducts the fluid flow to the<br />

wellbore and matrix system where essentially all<br />

gas is stored. Instead <strong>of</strong> gas being compressed in<br />

the pore space, most is adsorbed on the surface <strong>of</strong><br />

it. Considering the small pore size in this reservoir<br />

system, the Klinkenberg effect or slippage factor<br />

could effect the permeability change during<br />

reservoir depletion. The amount <strong>of</strong> gas adsorbed is<br />

quantified by an adsorption curve (isotherm curve)<br />

<strong>of</strong> the Langmuir equation. As the reservoir pressure<br />

declines during production from the fracture system,<br />

gas desorbs from the coal surfaces. Flow gas from<br />

the coal matrix to the fracture system is a molecular<br />

diffusion, expressed by Fick’s law rather that Darcy’s<br />

law. Because <strong>of</strong> the adsorption curve’s convex shape,<br />

it becomes very important to attain low reservoir<br />

pressure; this is a much more important factor than<br />

in conventional reservoirs. After long dewatering,<br />

water production will decrease and gas production<br />

increase and peak after water production has<br />

significantly declined from its original rate. Predicting<br />

the time and magnitude <strong>of</strong> this peak is a large part<br />

<strong>of</strong> the early evaluation <strong>of</strong> the wells. Eventually the<br />

wells decline and have a more conventional rate<br />

pattern. In the later stage <strong>of</strong> depletion (effective<br />

fracture permeability increasing during matrix<br />

desorption at lower pressure), this rock mechanic<br />

can be described by the Palmer-Mansoori effect.<br />

Approach<br />

A reservoir simulator will be developed to determine<br />

the effect <strong>of</strong> various spacing and completion<br />

decisions on recovery for particular scenarios <strong>of</strong><br />

reservoir properties/description. The outcome <strong>of</strong><br />

the simulation and history matching will typify the<br />

reservoir <strong>of</strong> interest and will be used to develop<br />

further analysis, such as:<br />

» Determine where the Palmer-Mansoori permeability<br />

and the Klinkenberg effect are important in<br />

42<br />

reservoir mechanics<br />

» Demonstrate the importance <strong>of</strong> various parameters<br />

on spacing<br />

» Determine desirability and expected performance<br />

<strong>of</strong> either vertical or horizontal wells<br />

» Develop well spacing correlations to determine<br />

optimum well spacing for new reservoir<br />

development and guideline for several practical<br />

circumstances<br />

Accomplishments<br />

A single well, 2D, single phase reservoir simulator<br />

has been developed using Macros Visual Basic.<br />

Reservoir simulation results for different sorption<br />

pressure cases are presented in Fig. 1. The work is<br />

still being continued to accommodate multiphase,<br />

Klinkenberg effect, and Palmer-Mansoori effect.<br />

Gas Rate (SCFD)<br />

1.E+07<br />

1.E+06<br />

Project Information<br />

1.4.4 Effects <strong>of</strong> Infill Drilling Coalbed-Methane Reservoirs<br />

Contacts<br />

Bob Wattenbarger<br />

979.845.0173<br />

bob.wattenbarger@pe.tamu.edu<br />

Pahala D. Sinurat<br />

Simulation Result for Constant Pressure Case<br />

1.E+05<br />

0.1 1 10 100 1000<br />

Time (days)<br />

Sorption Pressure = 1103.20 psi<br />

Sorption Pressure = 882.56 psi<br />

Sorption Pressure = 661.92 psi<br />

Fig. 1. Reservoir simulation results for various sorption pressure.<br />

Significance<br />

Residual method can be applied in developing a<br />

reservoir simulator for coalbed methane reservoirs<br />

to provide a rapid screening approach looking at the<br />

prospect <strong>of</strong> development or purchase or production<br />

improvement.<br />

CRISMAN INSTITUTE<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Drilling through Gas Hydrate Formations<br />

Objectives<br />

The modern petroleum industry meets highly complex<br />

technical challenges with an increasing demand <strong>of</strong><br />

operations in deepwater <strong>of</strong>fshore and onshore arctic<br />

environments, where greater emphasis should<br />

be placed on quantifying the hazards to drilling<br />

operations caused by gas hydrates. As progress<br />

is aimed towards ultradeep waters, it becomes<br />

important for future drilling operations to be able to<br />

identify ahead <strong>of</strong> time when problems are likely to<br />

occur.<br />

The objective <strong>of</strong> this research is to develop a<br />

comprehensive numerical algorithm for the<br />

estimation <strong>of</strong> risks while drilling through hydratebearing<br />

sediments.<br />

Approach<br />

We divided the problem into three “sub-problems.”<br />

The hydrate dissociation possibility will be separately<br />

analyzed at first in a drilled formation, then at the bit,<br />

and finally in the wellbore. The available field data<br />

will be gathered to assess heat transfer phenomena<br />

in the reservoir and the wellbore.<br />

bottomhole temperature using a numerical model<br />

for temperature distribution in the wellbore while<br />

drilling. On average, the radius <strong>of</strong> the formation<br />

affected by drilling was 500 m. The estimated size <strong>of</strong><br />

the problem was used to build a model for numerical<br />

calculations.<br />

Temperature (K)<br />

294<br />

293<br />

292<br />

291<br />

290<br />

289<br />

288<br />

287<br />

0.10<br />

0.15<br />

Temperature Pr<strong>of</strong>ile<br />

0.20<br />

0.25<br />

Radial heat transport from hot drilling fluid in wellbore into the formation<br />

(J.Yang).<br />

0.30<br />

0.35<br />

Distance from Wellbore Center (m)<br />

0.40<br />

at 0.139 hr<br />

at 0.278 hr<br />

at 2.78 hr<br />

at 5.56 hr<br />

at 6.94 hr<br />

at 8.33 hr<br />

CRISMAN INSTITUTE<br />

Project Information<br />

1.5.5 Design <strong>of</strong> Fluids for Drilling Though Hydrates<br />

Related Publications<br />

Peterson, J. Computing the Danger <strong>of</strong> Hydrate Formation<br />

using a Modified Dynamic Kick Simulator. Paper presented<br />

at the 2005 Asia Pacific Oil and Gas Conference, Jakarta,<br />

Indonesia, 5-7 April.<br />

Gas-hydrate related problems.<br />

Accomplishments<br />

Using an analytical model <strong>of</strong> hydrate dissociation<br />

under changing pressure and temperature,<br />

we estimated how far into the formation initial<br />

conditions will be changed due to drilling. For<br />

boundary conditions, we obtained bottomhole<br />

pressure from the measurements and we calculated<br />

Tan, C.P., et al. Managing Wellbore Instability Risk in Gas-<br />

Hydrate-Bearing Sediments. Paper presented at the 2005<br />

Asia Pacific Oil and Gas Conference, Jakarta, Indonesia,<br />

5-7 April.<br />

Contacts<br />

Gioia Falcone<br />

979.847.8912<br />

gioia.falcone@pe.tamu.edu<br />

Catalin Teodoriu<br />

catalin.teodoriu@pe.tamu.edu<br />

Tagir Khabibullin<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

43


Experimental and Numerical Simulation Studies to Evaluate Improvement <strong>of</strong> Light<br />

Oil Recovery by WACO 2<br />

and SWACO 2<br />

in Fractured Carbonate Reservoirs<br />

Objectives<br />

Oil recovery from mature fields deteriorates with<br />

time and significant oil in place is then left behind.<br />

Also, large economical hydrocarbon discoveries<br />

have become rarer in recent years. Therefore, the<br />

need to increase the reserves by improving recovery<br />

techniques has become essential. Water alternating<br />

gas (WAG) and simultaneous water and gas injection<br />

(SWAG) have been proposed and applied with varying<br />

results. However, extensive studies to examine<br />

the latter have not been carried out, especially in<br />

carbonate reservoirs and fractured rocks. Therefore,<br />

this study will investigate the effect on oil recovery<br />

and reservoir fluids by injecting water and CO 2<br />

in<br />

different modes.<br />

This research project will study four injection<br />

modes: waterflooding, continuous gas (CGI), water<br />

alternating gas (WAG), and simultaneous water<br />

and gas (SWAG). These modes will be injected in<br />

two different sets <strong>of</strong> carbonate cores, fractured<br />

and unfractured. The study aims to examine the<br />

influence <strong>of</strong> these different modes <strong>of</strong> injection on<br />

incremental light oil recovery and changes in rock<br />

and fluid properties. Comparison parameters would<br />

be as follows:<br />

» Oil recovery versus time<br />

» Residual oil saturation in the core matrix and the<br />

fracture using X-Ray CT scanning<br />

» Displacement efficiency improvement by the<br />

addition <strong>of</strong> NaI to the injected water<br />

Approach<br />

This research uses a core flood apparatus which<br />

contains high-grade aluminum to allow for X-Ray<br />

CT scanning. The core is connected to a 40-ft<br />

slimtube coil that will provide the necessary length<br />

to achieve miscibility, Figs. 1 and 2. The carbonate<br />

core measures 6 in long by 2 in OD on which the<br />

two scenarios will be investigated. The fracture will<br />

be created by sawing the core and placing a 1 mm<br />

spacer in the fracture to keep it open, and putting<br />

the fractured core in the coreflood cell. Injection<br />

pressures will be at 1900 psi to simulate downhole<br />

conditions and ensure miscibility between injectant<br />

gases and oil in place. Numerical simulation (CMG)<br />

will be conducted to model the experimental results.<br />

Accomplishments<br />

A fit-to-purpose experimental apparatus was<br />

designed. The minimum miscibility pressure (MMP)<br />

between west Texas light oil and CO 2<br />

has been<br />

measured using the industry standard method,<br />

slimtube, and numerical simulation. It was found<br />

that the core will not permit multiple contact<br />

miscibility to occur as tested by the slimtube. This is<br />

because <strong>of</strong> the core’s short length and heterogeneity<br />

CRISMAN INSTITUTE<br />

Project Information<br />

1.7.3 Analytical Modeling and Experimental Studies<br />

to Evaluate Improvement and Recovery <strong>of</strong> Light Oil in<br />

Carbonate Reservoirs by Simultaneous Water Alternating<br />

Gas (SWAG)<br />

Related Publications<br />

Mamora, D.D.. and Seo, J. G. Enhanced Gas Recovery by<br />

Carbon Dioxide Sequestration in Depleted Gas Reservoirs.<br />

Paper 77347, presented at the 2002 SPE-ATCE, San<br />

Antonio, Texas, 29 September – 2 October.<br />

Silva, Carlos F. R.: 2003. Water Alternating Enriched Gas<br />

Injection to Enhance Oil Production and Recovery from<br />

San Francisco Field, Colombia. MS thesis, Texas A&M U.,<br />

College Station, Texas.<br />

Contacts<br />

Daulat Mamora<br />

979.845.2962<br />

daulat.mamora@pe.tamu.edu<br />

Fig. 1. Coreholer connected to slimtube.<br />

Ahmed Aleidan<br />

44<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Fig. 2. CT scanning <strong>of</strong> 6” long by 2” diameter carbonate core yields<br />

porosity and saturation.<br />

compared to the slimtube. To overcome the lack<br />

<strong>of</strong> length, a 40-ft slimtube coil is placed ahead <strong>of</strong><br />

the core to pre-equilibrate the oil with CO 2<br />

. With<br />

this arrangement, three types <strong>of</strong> injections have<br />

conducted on unfractured core: waterflood alone,<br />

CGI, and CGI followed by water injection after<br />

CO 2<br />

depletion. Injecting water after CO 2<br />

depletes<br />

the core showed promising results <strong>of</strong> 18% OOIP<br />

incremental recovery.<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

45


Enhanced Oil Recovery <strong>of</strong> Viscous Oil by Injection <strong>of</strong> Water-in-Oil Emulsions<br />

Objectives<br />

Water-in-Oil (W/O) emulsions have been used for<br />

enhancing oil recovery by improving the mobility<br />

ratio, thus sweep efficiency, and by miscibility with<br />

the reservoir oil, thus reducing residual oil. Heavy<br />

crude oil has been used to make W/O emulsions<br />

(with addition <strong>of</strong> nanoparticles) to recover the<br />

same oil with very good recovery in a core flooding<br />

experiment. However, crude oil emulsions become<br />

much more viscous as more water is added, resulting<br />

in poor injectivity.<br />

Our research objectives are therefore as follows:<br />

» Find an oil that can be used to make a moderately<br />

viscous emulsion system.<br />

» Make stable W/O emulsions out <strong>of</strong> this oil without<br />

the addition <strong>of</strong> expensive components (e.g.,<br />

surfactant).<br />

» Verify the performance <strong>of</strong> the emulsion by core<br />

flooding experiments.<br />

Approach<br />

We will make emulsions by adding water into<br />

different types <strong>of</strong> oil, and blending them with a<br />

blender. Nanoparticles might be mixed into the oil<br />

prior to the addition <strong>of</strong> water. If a stable emulsion is<br />

obtained, its viscosity will be measured at different<br />

water content, shear rate, and temperature.<br />

Accomplishments<br />

Used engine oil is found to be a very good candidate<br />

to make stable emulsions (Fig. 1) for several<br />

reasons:<br />

» Existing soot provides perfect oleophilic<br />

nanoparticles to stabilize the W/O emulsion.<br />

» Moderate oil viscosity allows moderately high<br />

viscosity achievement for the emulsion (Fig. 2).<br />

» Stable and well behaved emulsions are obtained<br />

simply by blending in water, without extra<br />

surfactant or nanoparticles needed.<br />

» Used engine oil is produced in large quantities (~1<br />

billion gallons/year) and needs to be recycled–it is<br />

therefore relatively cheap.<br />

Significance<br />

A simple formulated stable emulsion system is<br />

obtained, with high potential use as a displacement<br />

fluid for heavy oil EOR.<br />

46<br />

Fig. 1. W/O emulsion with used Pennzoil 5W-30 is stable with water<br />

content up to 70%.<br />

Viscosity (cp)<br />

100000<br />

10000<br />

1000<br />

100<br />

Project Information<br />

1.7.4 Experimental Study <strong>of</strong> Polymer-Solvent Injection for<br />

Enhanced Oil<br />

Related Publications<br />

Bragg, J.R. 1999. Oil Recovery Method Using an Emulsion.<br />

US Patent 5,885,243.<br />

D’Elia, S. R. and Ferrer, G. J. Emulsion Flooding <strong>of</strong> Viscous<br />

Oil Reservoirs. Paper SPE 4674, presented at the 1973<br />

annual meeting <strong>of</strong> SPE <strong>of</strong> AIME, Las Vegas, Nevada, 30<br />

September.<br />

Johnson, C. E. Jr. Status <strong>of</strong> Caustic and Emulsion Methods.<br />

JPT (January 1976) 85-92.<br />

Contacts<br />

Daulat Mamora<br />

979.845.2962<br />

daulat.mamora@pe.tamu.edu<br />

Xuebing Fu<br />

10<br />

0<br />

50 100 150<br />

Shear rate (s -1 )<br />

200<br />

CRISMAN INSTITUTE<br />

0% water<br />

20% water<br />

40% water<br />

50% water<br />

60% water<br />

70% water<br />

Fig. 2. Viscosity at 25ºC <strong>of</strong> W/O emulsion with used Pennzoil 5W-30<br />

engine oil.<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Managed Pressure Drilling Candidate Selection<br />

Introduction<br />

Managed Pressure Drilling (MPD), now at the<br />

pinnacle <strong>of</strong> the ‘Oil Well Drilling’ evolution tree, has<br />

itself been coined in 2003. It is an umbrella term for<br />

a few new drilling techniques and some preexisting<br />

drilling techniques, all <strong>of</strong> them aiming to solve several<br />

drilling problems, including non-productive time<br />

and/or drilling flat time issues. These techniques,<br />

now sub-classifications <strong>of</strong> MPD, are referred to as<br />

‘Variations’ and ‘Methods’ <strong>of</strong> MPD.<br />

Objectives<br />

Although using MPD for drilling wells has several<br />

benefits, not all wells that seem a potential candidate<br />

for MPD, need MPD. The drilling industry has<br />

numerous simulators and s<strong>of</strong>tware models to perform<br />

drilling hydraulics calculations and simulations.<br />

Most <strong>of</strong> them are designed for conventional well<br />

hydraulics, while some can perform Underbalanced<br />

Drilling (UBD) calculations, and a select few can<br />

perform MPD calculations. Most <strong>of</strong> the few available<br />

MPD models are modified UBD versions that fit MPD<br />

needs. However, none <strong>of</strong> them focus on MPD and its<br />

candidate selection alone.<br />

Perform Hydraulic<br />

Analysis<br />

Are<br />

BHP & Ann Pr No<br />

Inside the PP &<br />

FP Window<br />

?<br />

Are<br />

All Project<br />

Objectives<br />

Met<br />

?<br />

Yes<br />

Yes<br />

MPD is not Required<br />

START<br />

Procure Information & Define Project Objectives<br />

Change Design<br />

Parameters<br />

No<br />

Is<br />

Rheology /<br />

MW / Other<br />

Design Variations<br />

Possible<br />

?<br />

MPD is not Useful<br />

STOP<br />

Perform Hydraulic<br />

Analysis<br />

Is<br />

an MPD<br />

Variation Available,<br />

Meeting the<br />

Criterion<br />

?<br />

MPD is Applicable<br />

Example <strong>of</strong> MPD candidate selection flow diagram.<br />

Yes<br />

No<br />

No<br />

Yes<br />

Are<br />

All the<br />

Constraints &<br />

Project Objectives<br />

Met<br />

?<br />

Yes<br />

Change Design<br />

Parameters<br />

No<br />

Yes<br />

Is<br />

Another<br />

Method Available or<br />

Perameter Change<br />

Possible<br />

?<br />

No<br />

MPD is not Useful<br />

A ‘Managed Pressure Drilling Candidate Selection<br />

Model and s<strong>of</strong>tware’ that can act as a preliminary<br />

screen to determine the utility <strong>of</strong> MPD for potential<br />

candidate wells will be developed as a part <strong>of</strong> this<br />

research dissertation.<br />

Approach<br />

A model and a flow diagram are needed to identify<br />

the key steps in candidate selection. The s<strong>of</strong>tware<br />

will perform the basic hydraulic calculations and<br />

provide useful results in the form <strong>of</strong> tables, plots<br />

and graphs that would help in making better<br />

engineering decisions. An additional MPD worldwide<br />

wells database with basic information on a few<br />

MPD projects will also been compiled that can act<br />

as a basic guide on the MPD variation and project<br />

frequencies and aid in MPD candidate selection.<br />

Accomplishments<br />

Finished the MPD Candidate Selection Flow Diagram,<br />

Worldwide MPD wells database and the MPD<br />

Candidate Selection Thesis.<br />

CRISMAN INSTITUTE<br />

Project Information<br />

2.1.1 Managed Pressure Drilling Candidates Selection Model<br />

Related Publications<br />

Nauduri, S., Medley, G.H., and Schubert, J.J. MPD: Beyond<br />

Narrow Pressure Windows. IADC/SPE Paper Number<br />

122276-PP, presented at the <strong>2009</strong> IADC/SPE, Managed<br />

Pressure Drilling and Underbalanced Operations Conference<br />

and Exhibition, San Antonio, Texas, 12-13 February.<br />

Contacts<br />

Jerome Schubert<br />

979.862.1195<br />

jerome.schubert@pe.tamu.edu<br />

Hans Juvkam-Wold<br />

979.845.4093<br />

juvkam-wold@tamu.edu<br />

Anantha Nauduri<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

47


Alternate Power and Energy Storage/Reuse for Drilling Rigs: Reduced Cost and<br />

Lower Emissions Provide Lower Footprint for Drilling Operations<br />

Introduction<br />

Diesel engines operating the rig pose the problems<br />

<strong>of</strong> low efficiency and large amount <strong>of</strong> emissions. In<br />

addition the rig power requirements vary a lot with<br />

time and ongoing operation. Therefore it is in the<br />

best interest <strong>of</strong> operators to research on alternate<br />

drilling energy sources which can make entire drilling<br />

process economic and environmentally friendly. One<br />

<strong>of</strong> the major ways to reduce the footprint <strong>of</strong> drilling<br />

operations is to provide more efficient power sources<br />

for drilling operations. There are various sources<br />

<strong>of</strong> alternate energy storage/reuse. A quantitative<br />

comparison <strong>of</strong> physical size and economics shows<br />

that rigs powered by the electrical grid can provide<br />

lower cost operations, emit fewer emissions, are<br />

quieter, and have a smaller surface footprint than<br />

conventional diesel powered drilling.<br />

with significantly lower emissions, quieter operation,<br />

and smaller size well pad.<br />

Objectives<br />

This project describes a study to evaluate the<br />

feasibility <strong>of</strong> adopting technology to reduce the size<br />

<strong>of</strong> the power generating equipment on drilling rigs<br />

and to provide “peak shaving” energy through the<br />

new energy generating and energy storage devices<br />

such as flywheels.<br />

Approach<br />

An energy audit was conducted on a new generation<br />

light weight Huisman LOC 250 rig drilling in South<br />

Texas to gather comprehensive time stamped<br />

drilling data. A study <strong>of</strong> emissions during drilling<br />

operation was also conducted during the audit. The<br />

data was analyzed using MATLAB and compared to a<br />

theoretical energy audit.<br />

Accomplishments<br />

The study showed that it is possible to remove<br />

peaks <strong>of</strong> rig power requirement by a flywheel<br />

kinetic energy recovery and storage (KERS) system<br />

and that linking to the electrical grid would supply<br />

sufficient power to operate the rig normally. Both<br />

the link to the grid and the KERS system would fit<br />

within a standard ISO container.<br />

Significance<br />

A cost benefit analysis <strong>of</strong> the containerized system<br />

to transfer grid power to a rig, coupled with the KERS<br />

indicated that such a design had the potential to save<br />

more than $10,000 per week <strong>of</strong> drilling operations<br />

Project Information<br />

2.1.5 Rig Energy Efficiency Study<br />

Related Publications<br />

Verma, A.: <strong>2009</strong>. Alternate Power and Energy Storage/<br />

Reuse for Drilling Rigs: Reduced Cost and Lower Emissions<br />

Provide Lower Footprint for Drilling Operations. MS thesis.<br />

Texas A&M U., College Station, Texas.<br />

Contacts<br />

David Burnett<br />

979.845.2274<br />

david.burnett@pe.tamu.edu<br />

Ankit Verma<br />

CRISMAN INSTITUTE<br />

48<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Cement Fatigue Failure and HPHT Well Integrity<br />

Objectives<br />

There have been a lot <strong>of</strong> experimental investigations<br />

on the mechanism <strong>of</strong> fatigue failure <strong>of</strong> structures<br />

like buildings and bridges but the fatigue behavior <strong>of</strong><br />

well cement is still relatively unknown to engineers.<br />

This research tries to give a better understanding<br />

<strong>of</strong> cement fatigue and failure, especially for high<br />

pressure, high temperature (HPHT) wells. Through<br />

the development <strong>of</strong> equations specific to well<br />

cement from experimental data, we will test new<br />

failure mechanism, crack initiation, and propagation<br />

and failure theories, and then predict the fatigue life<br />

<strong>of</strong> cement as related to HPHT wells.<br />

Approach<br />

Based on the experimental method carried out by<br />

other fields, such as civil engineering, we will design<br />

a specific experiment related to HPHT cementing.<br />

The experiment involves the following steps:<br />

specimen fabrication, test specimen preparation,<br />

static compression tests, fatigue tests, and data<br />

analysis. Water-cement ratio, temperature, and<br />

pressure are the three variables to be considered.<br />

According to obtained data, we will then develop the<br />

failure theory and predict the fatigue life <strong>of</strong> cement.<br />

Accomplishments<br />

Based on the background research, the research<br />

methods can be divided into two categories: lab<br />

test and finite element methods. For the field <strong>of</strong> lab<br />

testing, our representatives are K.J. Goodwin and<br />

D. Stiles. In 1992, Goodwin built a test model for<br />

determining conditions for cement sheath failure.<br />

The study clearly shows that sealants that are<br />

stiffer or possess a high Young’s modulus are more<br />

susceptible to damage when subjected to changes<br />

in pressure and temperature. In 2006, Stiles built<br />

another model for testing the long term HPHT<br />

condition on the properties <strong>of</strong> cements. For finite<br />

element method analysis, FEM models are easy to<br />

carry out. The right input data and choosing the<br />

right FEM model are the most important parts <strong>of</strong><br />

FEM analysis. Martin Bosma and Kris Ravi did the<br />

research on this. Their work showed that, in order<br />

to help reduce the risk <strong>of</strong> cement failure, the cement<br />

under downhole conditions should be compensated<br />

for hydration volume reduction and rendered less<br />

stiff and more resilient than conventional oilwell<br />

cements.<br />

The best way to study the HPHT well cement failure<br />

was to combine the lab test and FEM methods, using<br />

the lab data to improve and verify the FEM model<br />

results.<br />

Significance<br />

Using the theory <strong>of</strong> probability, the high pressure<br />

cement failure study showed that:<br />

» Both cement systems show the same failure<br />

characteristic. Without cycle load, both systems<br />

fail in tensile strength. At this time the shear<br />

failure and compressive failure probability is zero.<br />

» If the tensile failure probability is high, the system<br />

failure probability is much higher than the fatigue<br />

failure probability.<br />

» Compressive strength should not be the most<br />

important parameter when designing the<br />

cement system. Latex modified cement shows<br />

better behavior than conventional cement,<br />

though conventional cement has a much higher<br />

compressive strength.<br />

Project Information<br />

2.3.5 Reducing the Risk <strong>of</strong> Cement Failure in High Pressure,<br />

High Temperature (HPHT) Conditions, Rock Mechanics<br />

Aspects through Analytical and Finite Element Method<br />

Approaches<br />

Contacts<br />

Jerome Schubert<br />

979.862.1195<br />

jerome.schubert@pe.tamu.edu<br />

Catalin Teodoriu<br />

catalin.teodoriu@pe.tamu.edu<br />

Zhaoguang Yuan<br />

CRISMAN INSTITUTE<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

49


Propagation <strong>of</strong> Induced Hydraulic Fractures near Pre-Existing Fractures<br />

Objectives<br />

Hydraulic fracturing is a widely used technology<br />

for stimulating oil and gas wells. The intersection<br />

<strong>of</strong> hydraulic fractures with natural fractures or<br />

other discontinuities in a rock mass can give rise to<br />

significant changes to fracture growth. The objective<br />

<strong>of</strong> this project is to study the potential propagation<br />

behaviors <strong>of</strong> hydraulic fractures near pre-existing<br />

fractures considering linear and non-linear fault<br />

behavior and poroelastic effects.<br />

Approach<br />

We use 2D boundary element method to model<br />

the stress field ahead <strong>of</strong> a hydraulic fracture in the<br />

vicinity <strong>of</strong> a pre-existing fracture. A unified structural<br />

criterion is used to predict the crack propagation<br />

behavior. The work initially considers fractures in an<br />

elastic media. Poroelastic effects, which arise from<br />

coupling <strong>of</strong> rock deformation and fluid flow inside the<br />

fracture, are considered next. Propagation behaviors<br />

<strong>of</strong> single pressurized crack and interaction between<br />

multiple cracks are studied. And finally, interaction<br />

between hydraulic fractures and natural fractures in a<br />

homogeneous poroelastic media will be investigated.<br />

Accomplishments<br />

A 2D real DD boundary element method has been<br />

developed and used to simulate fracture propagation<br />

trajectories for single and multiple cracks. Parametric<br />

studies are carried out for different crack propagation<br />

Y, m<br />

0.3<br />

0.2<br />

0.1<br />

0<br />

-0.2<br />

-0.1<br />

0<br />

X, m<br />

Crack A<br />

Crack B<br />

v = 1.e-1m/s, c/ t<br />

= 1.1<br />

v = 1.e-3m/s, c/ t<br />

= 1.1<br />

v = 1.e-1m/s, c/ t<br />

= 1.5<br />

v = 1.e-3m/s, c/ t<br />

= 1.5<br />

Crack propagation path near an inclined crack at different crack propagation<br />

speeds (S H<br />

= 1 MPa, S h<br />

= 0.5 MPa, p = 3.5 MPa, c/σ t<br />

= 1.1).<br />

0.1<br />

0.2<br />

speeds, far field stresses, rock cohesion and internal<br />

fluid pressures to investigate the influential factors<br />

on fracture propagation in a poroelastic rock and the<br />

results are compared with those given by an elastic<br />

model. We find that matrix pore-pressure increase<br />

could change crack propagation mode and direction.<br />

Significance<br />

This study will enable us to predict the potential<br />

fracture patterns that can arise from the intersection<br />

<strong>of</strong> a fluid-driven hydraulic crack with a pre-existing<br />

fracture. The results will assist us in design <strong>of</strong><br />

fracture treatments in complex geo-mechanical<br />

environment. Future work will consider various joint<br />

properties, fluid injection rates as well as the impact<br />

<strong>of</strong> reservoir depletion.<br />

Project Information<br />

2.4.2 Studies <strong>of</strong> Propagation <strong>of</strong> Induced Hydraulic Fractures<br />

through Pre-Existing Fractures<br />

Related Publications<br />

Ghassemi, A., Zhang, Q. 2006. Poro-thermoelastic<br />

Response <strong>of</strong> a Stationary Crack using the Displacement<br />

Discontinuity Method. ASCE J. Engineering Mechanics 132<br />

(1): 26-33.<br />

Koshelev, V., Ghassemi, A. Complex Variable BEM for<br />

Stationary Thermoelasticity and Poroelasticity. J. Eng.<br />

Anal. with Boundary Elements 28 (2004) 825-832.<br />

Xue, W., Ghassemi, A. Poroelastic Analysis <strong>of</strong> Hydraulic<br />

Fracture Propagation. Paper 129, presented at the Asheville<br />

Rocks <strong>2009</strong>, 43rd US Rock Mechanics Symposium, Asheville,<br />

North Carolina, 28 June–1 July.<br />

Contacts<br />

Ahmad Ghassemi<br />

979.845.2206<br />

ahmad.ghassemi@pe.tamu.edu<br />

Wenxu Xue<br />

CRISMAN INSTITUTE<br />

50<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Using Downhole Temperature Measurement to Assist Reservoir Characterization<br />

and Optimization<br />

Introduction<br />

Downhole temperature distribution in horizontal<br />

wells can be an important source <strong>of</strong> information that<br />

helps us characterize the reservoir and understand<br />

the bottom-hole flow conditions. The temperature<br />

measurements are obtained from permanent<br />

monitoring systems such as downhole temperature<br />

gauges and fiber optic sensors. Also, production<br />

history and bottomhole pressures are usually<br />

readily available and are routinely used for history<br />

matching to improve the initial geological models.<br />

Combining the downhole temperature distribution<br />

and the production history, we can extract more<br />

reliable information about the reservoir permeability<br />

distribution and bottomhole flow conditions that help<br />

us optimize the wellbore performance, particularly<br />

in horizontal wells.<br />

Objectives<br />

We will use a thermal model and a transient, 3D,<br />

multiphase flow reservoir model to characterize the<br />

reservoir and horizontal well flow pr<strong>of</strong>ile.<br />

Approach<br />

Earlier work has shown that downhole temperature<br />

interpretation can provide a coarse-scale reservoir<br />

permeability distribution (Li and Zhu, <strong>2009</strong>). The<br />

question we address here is how to incorporate this<br />

information for geologic modeling and production<br />

history matching. There are two potential approaches,<br />

possibly among others. The first is to incorporate the<br />

coarse-scale permeability information as ‘secondary’<br />

information while constructing the prior geologic<br />

model. This model can then be history matched<br />

to further update the geologic model. The second<br />

approach would be to include the temperaturederived<br />

coarse-scale permeability as a penalty<br />

function during the history matching process. We<br />

will adopt the former approach.<br />

Fig. 1 shows an outline <strong>of</strong> an integrated approach<br />

that combines the temperature interpretation and<br />

production history matching for dynamic reservoir<br />

characterization and modeling. It includes four<br />

major steps as follows:<br />

» Use temperature interpretation method to match<br />

the observed temperature data, and obtain a<br />

coarse-scale permeability distribution.<br />

» Generate a high-resolution geologic model<br />

constrained to the coarse-scale permeability<br />

estimate. This is accomplished using Sequential<br />

Gaussian Simulation with Block Kriging, much<br />

along the line <strong>of</strong> seismic data integration into<br />

geologic models.<br />

» Use the geologic model as the prior model for<br />

production history matching. The history matching<br />

is carried out using a fast streamline-based<br />

approach that is well-suited for the high resolution<br />

model.<br />

No<br />

Project Information<br />

2.4.5 Production Monitoring and Control with Intelligent<br />

Technology<br />

Related Publications<br />

Li, Z. and Zhu, D. Predicting Flow Pr<strong>of</strong>ile <strong>of</strong> Horizontal<br />

Well by Downhole Pressure and DTS Data for Water-Drive<br />

Reservoir. Paper SPE 124873, presented at the <strong>2009</strong> SPE<br />

<strong>Annual</strong> Technical Conference and Exhibition, New Orleans,<br />

Louisiana, 4-7 October.<br />

Contacts<br />

Ding Zhu<br />

979.458.4522<br />

ding.zhu@pe.tamu.edu<br />

Zhuoyi Li<br />

Temperature interpretation<br />

Obtain a coarse-scale<br />

perm distribution<br />

Downscale the coarsescale<br />

permeability via<br />

sequential Gaussian<br />

simulation with block kriging<br />

Temperature<br />

data match?<br />

Finish<br />

Yes<br />

Yes<br />

Prior geologic model<br />

for history matching<br />

Forward simulation for<br />

reservoir pressure and<br />

saturation<br />

Calculation <strong>of</strong> production<br />

data misfit<br />

Production<br />

data match?<br />

No<br />

Calculation <strong>of</strong> sensitivity<br />

coefficients from streamline<br />

Updating permeability<br />

via minimizing production<br />

data misfit<br />

Fig. 1. Integrated workflow for incorporating temperature data into history<br />

matching.<br />

(continued on next page)<br />

CRISMAN INSTITUTE<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

51


» Use forward modeling <strong>of</strong> wellbore temperature<br />

to cross-check that the history matched model<br />

reproduces the temperature data. If the updated<br />

model reproduces the wellbore temperature<br />

measurements within a pre-specified tolerance,<br />

we accept the refined permeability distribution.<br />

Otherwise, we go back to step two and repeat the<br />

process.<br />

Accomplishments<br />

We presented several synthetic cases to illustrate<br />

the procedure. The results show that with only<br />

production history matching without distributed<br />

data along the wellbore, the water entry location in<br />

horizontal wells cannot be detected satisfactorily.<br />

Combining production history matching with the<br />

temperature distribution in the wellbore, we can get<br />

an improved geological model that can match the<br />

production history and also locate the water entry<br />

correctly. Based on the downhole flow conditions and<br />

the updated geological model, we can now optimize<br />

the well performance by controlling the inflow rate<br />

distribution, such as shutting the high water inflow<br />

sections. Fig.2 shows an example <strong>of</strong> the procedure<br />

developed from this project.<br />

Fig. 2. Example <strong>of</strong> using temperature interpretation and history match to<br />

characterize reservoir and downhole flow.<br />

52<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Optimization <strong>of</strong> Horizontal Well Performance in Low-Permeability Gas Reservoirs<br />

Objectives<br />

The objective <strong>of</strong> this research is to develop an<br />

approach to evaluate horizontal well performance for<br />

fractured or unfractured gas wells, and to conduct a<br />

sensitivity study <strong>of</strong> gas well performance in a low<br />

permeability formation. Different mathematical<br />

model approaches will be used, including analytical<br />

solutions, Point/Line source method, and Distributed<br />

Volumetric Source (DVS) method for numerical<br />

simulation. The methods will predict a production<br />

index for horizontal wells. In addition, permeability,<br />

well trajectory, fracture geometry, and in-situ<br />

stresses <strong>of</strong> formations, which are critical parameters<br />

for horizontal well and hydraulic fracturing design,<br />

will also be studied.<br />

Approach<br />

Analytical Solution<br />

Many horizontal well models have been developed<br />

for both steady-state flow and pseudo-steady<br />

flow. However, for tight gas formation, the flow is<br />

more likely to have a longer transient period. The<br />

performance <strong>of</strong> transient flow for horizontal gas<br />

wells should be studied in this research.<br />

to decide the horizontal well length and the numbers<br />

<strong>of</strong> fractures.<br />

Accomplishments<br />

» Slab source method has been developed to<br />

calculate the horizontal well, which has a good<br />

match with Babu and Odel’s method.<br />

» Horizontal well with one or two fractures has been<br />

solved for both transient and pseudo-steady state<br />

conditions.<br />

» For finite conductivity boundary conditions, we<br />

divided the fracture into several segments, and<br />

the pressure drop can be calculated.<br />

Future Work<br />

The ultimate goal <strong>of</strong> this project is to develop an<br />

Expert system. This system will help in calculating the<br />

performances <strong>of</strong> oil/gas horizontal wells, with other<br />

aspects conducted in the performances <strong>of</strong> fractures.<br />

By integrating these two topics, a system can be<br />

created to aid the industry to develop hydraulic<br />

fracture horizontal wells more economically and<br />

efficiently.<br />

Point/Line Source Solution<br />

A line source solution for horizontal well has been<br />

developed by Kamkom (2007). Investigate the<br />

possibility <strong>of</strong> using point source to represent fracture<br />

performance.<br />

Slab Source Solution<br />

The research will use the slab source method to<br />

predict well performance <strong>of</strong> a single fracture and<br />

multiple fractures. By comparing results with line<br />

source solution, the difference will be discussed<br />

Numerical Simulation<br />

The model built from the research will be combined<br />

with a commercial simulator (ECLIPSE) and a<br />

fine grid fracture to build a model for a tight gas<br />

horizontal well with and without fractures.<br />

Significance<br />

This project is a major initiative to review current<br />

fractured horizontal well performance in analytical<br />

theory. The results <strong>of</strong> this project allow comparing<br />

different fluid types and different boundary<br />

conditions reservoir to select an optimization method<br />

Project Information<br />

2.4.10 Optimization <strong>of</strong> Horizontal Well Performance in Low-<br />

Permeability Gas Reservoirs<br />

Contacts<br />

Ding Zhu<br />

979.458.4522<br />

ding.zhu@pe.tamu.edu<br />

Jiajing Lin<br />

CRISMAN INSTITUTE<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

53


Decision Matrix for Liquid Loading in Gas Wells for Cost/Benefit Analyses <strong>of</strong> Lifting<br />

Options (Part 2)<br />

Objectives<br />

Liquid loading is one <strong>of</strong> the main drawbacks <strong>of</strong><br />

gas well production. Although there are literature<br />

reviews available regarding solutions to liquid loading<br />

problems in gas wells, a tool capable <strong>of</strong> helping an<br />

operator select the best option for a specific field<br />

case still does not exist.<br />

The ultimate goal <strong>of</strong> this project is to fulfill the<br />

decision matrix tool initiated by a previous graduate<br />

student. Developing the tool itself and adding<br />

more available water unloading options and more<br />

limitations in each technique, using both technical<br />

and economic factors, will complete the full cycle for<br />

this project.<br />

Approach<br />

This project develops and expands the existing<br />

decision matrix tool used to evaluate and screen<br />

the possible available alternatives for dealing with<br />

liquid loading in gas wells. Limitations <strong>of</strong> liquid<br />

unloading techniques from literature reviews and<br />

practical actual data from the industries will be<br />

collected to become a database. A full cycle analysis<br />

<strong>of</strong> a production simulation will then be performed,<br />

emphasizing technical and economic impacts. First,<br />

simulation <strong>of</strong> gas production will be done using a<br />

material balance method. From this, production<br />

pr<strong>of</strong>iles and gas decline rates can be obtained. A<br />

decline curve analysis will also be done if the data<br />

available to confirm the results from the simulation<br />

exist. Then a cash flow analysis consisting <strong>of</strong> the cost<br />

and the benefits <strong>of</strong> each technique will be performed<br />

to obtain economic yardsticks such as NPV or IRR.<br />

Using these yardsticks should provide the most<br />

optimum (practical and economical) unloading<br />

technique to be selected.<br />

Significance<br />

By using this decision matrix tool as a preliminary<br />

screening tool, companies can determine which<br />

technique is the best fit for their conditions. The<br />

operators can also save time and money usually<br />

wasted when considering and trying many different<br />

liquid unloading techniques by themselves.<br />

Future Work<br />

The completed decision matrix is the ultimate goal <strong>of</strong><br />

this project, therefore the types <strong>of</strong> liquid unloading<br />

techniques, the limitations <strong>of</strong> each technique,<br />

the actual set <strong>of</strong> production data from the oil and<br />

gas companies, and the results from production<br />

simulations have to be applied to the decision matrix<br />

codes as much as possible to make this program<br />

provide a good representation <strong>of</strong> each alternative.<br />

Flow diagram for Decision Matrix.<br />

Project Information<br />

2.4.13 Decision Matrix for Liquid Loading in Gas Wells for<br />

Cost/Benefit Analyses <strong>of</strong> Lifting Options (Part 2)<br />

Related Publications<br />

Park, Han-Young: 2008, Decision Matrix for Liquid Loading<br />

in Gas Wells for Cost/Benefit Analyses <strong>of</strong> Lifting Options.<br />

MS thesis, Texas A&M U., College Station, Texas.<br />

Contacts<br />

Gioia Falcone<br />

979.847.8912<br />

gioia.falcone@pe.tamu.edu<br />

Nitsupon Soponsakulkaew<br />

Evaluation Start<br />

Preliminary Screening<br />

- Well information - Production status<br />

- Fluid properties - Reservoir properties<br />

- Power supply<br />

Technical Evaluation using Decision Matrix<br />

- Technical Efficiency - Reserves information<br />

- Production pr<strong>of</strong>iles - Production Decline Rate<br />

Economic Evaluation<br />

- Economic yardsticks (NPV, IRR)<br />

Final Selection and Ranking<br />

CRISMAN INSTITUTE<br />

54<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Investigation <strong>of</strong> Swirl Flows Applied to the Oil and Gas Industry<br />

Introduction<br />

Swirl flow (or vortex flow) is a fluid stream which has<br />

a rotational velocity as well as a linear velocity (Fig.<br />

1). It typically occurs in cyclones, hydrocyclones,<br />

spray dryers, heat exchangers with twisted-tape<br />

inserts, and vortex burners. It is also the basic<br />

principle behind foam-breaking or de-foaming<br />

separators, which have received significant industrial<br />

attention in recent years. Current research at Texas<br />

A&M University is studying the various applications<br />

<strong>of</strong> swirl flow to help mitigate particular problems<br />

in the oil and gas industry. Among the swirl flow<br />

applications under investigation are liquid unloading<br />

in gas wells and wet gas metering.<br />

Swirling Flow<br />

For the purpose <strong>of</strong> the analysis presented here, the<br />

expansion/contraction section and the venturi were<br />

excluded from the simulations in order to allow focus<br />

on the effects <strong>of</strong> the swirling device.<br />

In prior described experiments (Falcone et al.,<br />

2003), the actual length <strong>of</strong> straight pipe upstream<br />

<strong>of</strong> the swirler was about 10 m. This resulted in fully<br />

developed annular flow prior to the fluid reaching<br />

the swirler. To simulate this correctly with the CFD<br />

model while minimizing the mesh requirements<br />

(and hence the running times), a sensitivity analysis<br />

was performed on the length <strong>of</strong> pipe to be modeled<br />

before the swirler. It was found that a length <strong>of</strong> 2<br />

m in the model yielded annular flow upstream the<br />

swirler. The final model used for the CFD simulations<br />

is shown in Fig. 2.<br />

(continued on next page)<br />

Axial Flow<br />

Direction<br />

Fig. 1. Schematic <strong>of</strong> a swirl flow, showing a particle’s helical path.<br />

Objectives<br />

A commercial CFD s<strong>of</strong>tware package will be used<br />

in this study, with the objective <strong>of</strong> investigating<br />

the efficiency <strong>of</strong> the liquid separation at high gas<br />

fraction and evaluating the persistence <strong>of</strong> the swirl<br />

downstream <strong>of</strong> the flow conditioning device. These<br />

features are essential to understand not only the<br />

efficiency <strong>of</strong> in-line separation devices used for wet<br />

gas metering purposes, but also that <strong>of</strong> downhole<br />

tools for liquid unloading in gas wells.<br />

Approach<br />

A commercial CFD s<strong>of</strong>tware package was used.<br />

A model <strong>of</strong> the ANUMET meter was built and<br />

simulations were run using the input data from the<br />

reported experiments (Falcone, 2006). The pipe<br />

diameter was increased from 31.8 mm to 32.1 mm,<br />

which provided a 0.15 mm thick inflation boundary<br />

on the pipe walls that helped to capture the film<br />

thickness more efficiently than tetrahedral elements.<br />

Project Information<br />

2.4.17 Investigation <strong>of</strong> Swirl Flows Applied to the Oil and<br />

Gas Industry<br />

Related Publications<br />

Falcone, G., Hewitt, G.F., Lao, L., Richardson, S.M. ANUMET:<br />

A Novel Wet Gas Flowmeter. Paper SPE 84504 presented at<br />

the 2003 SPE <strong>Annual</strong> Technical Conference and Exhibition,<br />

Denver, Colorado, 5-8 October.<br />

Surendra, M., Falcone, G., Teodoriu, C. Investigation <strong>of</strong><br />

Swirl Flows Applied to the Oil and Gas Industry. Paper<br />

SPE 115938 presented at the 2008 SPE <strong>Annual</strong> Technical<br />

Conference and Exhibition, Denver, Colorado, 21-24<br />

September.<br />

Contacts<br />

Gioia Falcone<br />

979.847.8912<br />

gioia.falcone@pe.tamu.edu<br />

Catalin Teodoriu<br />

catalin.teodoriu@pe.tamu.edu<br />

Meher Surendra<br />

CRISMAN INSTITUTE<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

55


fractions involved, a detailed sensitivity analysis<br />

<strong>of</strong> the model used for this work would be required<br />

to assess the effects <strong>of</strong> varying the liquid content<br />

and also the operating pressure and the phase flow<br />

rates.<br />

Fig. 2. CFD model <strong>of</strong> the section <strong>of</strong> interest <strong>of</strong> the ANUMET meter. The<br />

flow is along the Z axis.<br />

Significance<br />

The preliminary results confirm that the twisted tape<br />

induces a swirling motion that results in a separated<br />

flow downstream <strong>of</strong> the device. The liquid flows<br />

along the pipe walls, although there remains some<br />

entrainment within the gas core. The distribution <strong>of</strong><br />

the phases across the pipe section is not the same<br />

at different locations downstream <strong>of</strong> the swirler.<br />

In particular, it appears that the efficiency <strong>of</strong> the<br />

separation is highest at the furthermost location<br />

from the device. However, due to the particular<br />

geometry investigated, this study has not been able<br />

to verify how far from the twisted tape the swirling<br />

motion persists, and whether this is accompanied<br />

by an efficient separation <strong>of</strong> the phases. It is in fact<br />

believed that, due mainly to gravity effects, there is<br />

a point where the vortex motion becomes negligible.<br />

Future Work<br />

For the ANUMET wet gas meter application, it is<br />

important to understand where the maximum<br />

liquid deposition occurs, so that the measured<br />

film thickness would be most representative <strong>of</strong> the<br />

total liquid hold up in the pipe. For downhole liquid<br />

unloading applications, it is important to understand<br />

whether the swirling motion induced by vortex<br />

devices can actually persist up to the wellhead. More<br />

work is needed to prove the actual flow dynamics<br />

through these devices and the relationship between<br />

tool configuration, flow rates, operating pressure,<br />

well geometry (length, diameter and orientation)<br />

and swirl persistence. Also, because <strong>of</strong> the high gas<br />

56<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Potential for CO 2<br />

Sequestration and Enhanced Coalbed Methane Production, NW<br />

Black Warrior Basin<br />

Objectives<br />

This project is going to assess the potential for<br />

CO 2<br />

sequestration and enhanced coalbed methane<br />

(ECBM) production <strong>of</strong> the Pottsville formation coals.<br />

The ultimate goal is to rank Black Warrior basin CBM<br />

fields by their potential for pr<strong>of</strong>itability and to select<br />

a pilot site that is suitable for injection <strong>of</strong> CO 2<br />

at a<br />

commercial scale <strong>of</strong> up to 50 MMcf/d. The assessment<br />

will address technical issues, such as CO 2<br />

injection<br />

rates, injection volumes and pressures, number <strong>of</strong><br />

wells, and well spacing.<br />

as evaluation <strong>of</strong> the CO 2<br />

sequestration and ECBM in<br />

this area becomes more commercial.<br />

Approach<br />

We will design study cases to optimize the production<br />

and the sequestration, which includes well spacing,<br />

completion layers, dewatering time, injecting rate,<br />

etc. We will collect the data for the Blue Creek field.<br />

We will also specify the reservoir properties and set<br />

up the model <strong>of</strong> the formation.<br />

Accomplishments<br />

Our simulation study was based on a 5-spot well<br />

pattern 40-ac well spacing. For the entire Blue<br />

Creek field <strong>of</strong> the Black Warrior basin, if 100% CO 2<br />

is injected into the Pratt, Mary Lee and Black Creek<br />

coal zones, enhanced methane resources recovered<br />

are estimated to be 0.3 Tcf, with a potential CO 2<br />

sequestration capacity <strong>of</strong> 0.88 Tcf. The methane<br />

recovery factor is estimated to be 68.8%, if the three<br />

coal zones are completed but produced one by one.<br />

Approximately 700 wells may be needed in the field.<br />

For multi-layered completed wells, the permeability<br />

and pressure are important in determining the<br />

breakthrough time, methane produced, and CO 2<br />

injected. Dewatering and soaking do not benefit<br />

the CO 2<br />

sequestration process, but do allow higher<br />

injection rates. Permeability anisotropy affects CO 2<br />

injection and enhanced methane recovery volumes<br />

<strong>of</strong> the field.<br />

We recommend a 5-spot pilot project with a maximum<br />

well BHP <strong>of</strong> 1,000 psi at the injector, a minimum<br />

well BHP <strong>of</strong> 500 psi at the producer, a maximum<br />

injection rate <strong>of</strong> 70 Mscf/D, and a production rate <strong>of</strong><br />

35 Mscf/D.<br />

Significance<br />

For environmental and economical factors, it is<br />

feasible to have several ECBM programs in Black<br />

Warrior Basin. These programs are win-win projects<br />

Coalbed methane fields in the Black Warrior Basin, Alabama (from Pashin<br />

et al. 2004).<br />

Project Information<br />

2.4.22 Evaluation <strong>of</strong> Potential for CO 2<br />

Sequestration and<br />

CO 2<br />

ECBM, Pottsville Formation, Black Warrior Basin<br />

Contacts<br />

Walter B. Ayers<br />

979.845.2447<br />

walt.ayers@tamu.edu<br />

Maria Barrufet<br />

979.845.0314<br />

maria.barrufet@pe.tamu.edu<br />

Ting He<br />

CRISMAN INSTITUTE<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

57


Transient Multiphase Sand Transport in Horizontal Wells<br />

Introduction<br />

Multiphase technology solutions have enabled the<br />

process industries, such as the petroleum industry,<br />

mining industry and nuclear industry, to improve their<br />

production performance, extend their operation,<br />

and address previously insoluble problems.<br />

Objectives<br />

The objective <strong>of</strong> the dissertation is to develop a<br />

dynamic simulation tool for sand transport and<br />

control in oil-gas and oil-water multiphase flow<br />

systems through horizontal and vertical wellbores,<br />

pipelines, and production rises.<br />

Approach<br />

Unsteady state multiphase flow and optimal sand<br />

transport control models will be developed based on<br />

a multi-fluid modeling approach in the CFX Ansys,<br />

STAR CCM+ and MATLAB platforms to predict sand<br />

particle transport and hydrodynamic behavior under<br />

various system, operation, and geometric conditions.<br />

New data from sand transport and entrainment<br />

experimental flow loops will be used to validate<br />

the developed model(s) and to achieve a better<br />

understanding, and to improve project performance<br />

and value creation. The new design and engineering<br />

analysis tool will provide best practices guidelines<br />

and performance assessment <strong>of</strong> gas-oil-sand and<br />

oil-water-sand multiphase flow system design<br />

options and optimal operational methodologies.<br />

Accomplishments<br />

» Reviewed literature <strong>of</strong> current multiphase models<br />

and their limitations<br />

» Developed a mechanistic model for predicting<br />

effect on the pressure drop <strong>of</strong> sand transport in<br />

horizontal wells<br />

» Placed a purchasing order for flange gaskets to be<br />

used in the flow loop facility in Room 601.<br />

Future Work<br />

» Continue with the literature review <strong>of</strong> sand<br />

transport and multiphase models.<br />

» Jump-start the flow loop in Room 601.<br />

» Modify the flow loop to accommodate sand<br />

transport mechanism.<br />

CRISMAN INSTITUTE<br />

Project Information<br />

2.4.23 Transient Multiphase Sand Transport in Horizontal<br />

Wells<br />

Contacts<br />

Gioia Falcone<br />

979.847.8912<br />

gioia.falcone@pe.tamu.edu<br />

Ime Udong<br />

58<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Performance Driven Hydraulic Fracture Design for Deviated Wells<br />

Introduction<br />

Unrestricted fracturing, long-established for lowpermeability<br />

reservoirs, is not applicable to highpermeability<br />

formations where the resulting width<br />

would be far less than indicated by rigorous design<br />

approaches such as the Unified Fracture Design<br />

(UFD). Thus, tip screenout (TSO) treatments are<br />

necessary, in which the lateral migration <strong>of</strong> the<br />

fracture is arrested followed by inflation <strong>of</strong> the<br />

fracture to the desired/optimum width. The term<br />

high-performance fracturing (HPF) better reflects<br />

the high performance standard targeted by this<br />

completion technique.<br />

Connectivity between the well and the fracture is<br />

a very important issue and has been addressed<br />

repeatedly in the literature. Because HPF’s dominate<br />

Gulf <strong>of</strong> Mexico well completions where well deviation<br />

angles established for extended reach drilling are<br />

maintained through the productive zone, the issue<br />

<strong>of</strong> well to fracture connectivity becomes even more<br />

serious. Ehlig-Economides et al. introduced a new<br />

model for hydraulically fractured wells, hypothesizing<br />

that only those perforations in the intersection<br />

between the far field hydraulic fracture plane and the<br />

wellbore actually connect flow through the fracture<br />

to the well. In turn, Zhang et al. introduced a new<br />

model allowing for flow both through the fracture<br />

and bypassing the fracture through perforation that<br />

are not connected to the fracture.<br />

Objectives<br />

This research is intended to provide new<br />

computational tools to quantify how the presence<br />

<strong>of</strong> the deviated wellbore open to flow impacts the<br />

expected performance <strong>of</strong> the hydraulic fracture,<br />

allowing a design <strong>of</strong> the system “deviated wellbore<br />

open to flow + transverse hydraulic fracture” to<br />

maximize overall productivity.<br />

Approach<br />

The problem is approached by combining the UFD<br />

technique with the “Method <strong>of</strong> Distributed Volumetric<br />

Sources” (DVS). We are developing a convenient<br />

implementation/methodology that will iteratively<br />

find the optimal fracture geometry that would result<br />

in a maximum productivity index <strong>of</strong> the deviated<br />

and fractured wells.<br />

Future Work<br />

We intend to carry on the following three main tasks:<br />

» Provide analytical/empirical expression(s) for<br />

the mechanical skin that includes all contributing<br />

factors such as well deviation, perforation density,<br />

phasing, penetration depth, diameter, minimum<br />

in-situ stress direction, proppant permeability,<br />

halo effect, production rate, and turbulence beta<br />

factors.<br />

» Provide analytical/empirical expression(s) for the<br />

composite productivity index (J D<br />

) that includes all<br />

previously mentioned major contributing factors.<br />

» Generate simplified correlations and benchmarking<br />

plots for the composite productivity index (J D<br />

)<br />

versus well deviation and reservoir permeability.<br />

CRISMAN INSTITUTE<br />

Project Information<br />

2.4.24 Hydraulically Fractured Well Performance in High<br />

Rate Wells<br />

Related Publications<br />

Economides, M. J., Oligney, R.E., and Valkó, P.P. 2002.<br />

Unified Fracture Design (hardbound). Houston: Orsa Press.<br />

Ehlig-Economides, C.A., Tosic, S., and Economides, M.J.<br />

Foolpro<strong>of</strong> Completions for High-Rate Production Wells.<br />

Paper SPE 111455, presented at the 2008 SPE International<br />

Symposium and Exhibition on Formation Damage Control,<br />

Lafayette, Louisiana, 13-15 February.<br />

Zhang, Y., Marongiu-Porcu, M., Ehlig-Economides, C.A.,<br />

Tosic, S., and Economides, M.J. Comprehensive Model for<br />

Flow Behavior <strong>of</strong> High-Performance Fracture Completions.<br />

Paper SPE 124431, presented at the ATCE <strong>2009</strong> SPE<br />

<strong>Annual</strong> Technical Conference and Exhibition, New Orleans,<br />

Louisiana, 4-7 October.<br />

Valko, P.P., and Amini, S. Method <strong>of</strong> Distributed Volumetric<br />

Sources for Calculating the Transient and Pseudosteady<br />

State Productivity Index <strong>of</strong> Complex Well-fracture<br />

Configurations. Paper SPE 106279, presented at the 2007<br />

SPE Hydraulic Fracturing Technology Conference, College<br />

Station, Texas, 29-31 January.<br />

Contacts<br />

Christine Ehlig-Economides<br />

979.458.0797<br />

c.economides@pe.tamu.edu<br />

Matteo Porcu<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

59


Carbonate Heterogeneity and Acid Fracture Performance<br />

Objectives<br />

The objective <strong>of</strong> this work is to evaluate the expected<br />

performance <strong>of</strong> acid fracturing for two wells in the<br />

Hugoton field. Permeability data from cores and<br />

outcrops as well as mineralogical descriptions <strong>of</strong><br />

the sampled rock will be used to characterize the<br />

carbonate heterogeneity. Specifically, the standard<br />

deviation <strong>of</strong> permeability, vertical correlation length,<br />

and horizontal correlation length will be defined.<br />

These geostatistical parameters are inputs for an acid<br />

fracture simulator developed by Mou et al. (<strong>2009</strong>)<br />

that incorporates an intermediate-scale acid etching<br />

model. This work will be combined with a model <strong>of</strong><br />

fracture surface deformation behavior under closure<br />

stress developed by Deng et al. (<strong>2009</strong>), and the<br />

overall acid fracture conductivity will be determined<br />

for the case in the Hugoton field.<br />

Approach<br />

Determination <strong>of</strong> the vertical correlation length will<br />

depend on permeability measurements taken on<br />

cores from the productive zones <strong>of</strong> the Hugoton<br />

field. The horizontal correlation length will primarily<br />

depend on permeability data from outcrops, but<br />

may also be supported with well and field data,<br />

analogues, and literature on carbonates in the<br />

Chase Group. Mou’s acid fracture simulator, along<br />

with Deng’s model <strong>of</strong> fracture conductivity under<br />

closure stress, will be applied to this case.<br />

Accomplishments<br />

Core permeability data was collected every inch<br />

over ten feet in three productive zones for two wells<br />

in the Hugoton field. From this data, the vertical<br />

correlation length can be derived through analysis<br />

<strong>of</strong> each vertical semivariogram (Fig. 1). Numerous<br />

Chase Group outcrop locations have been identified<br />

in Kansas for collection <strong>of</strong> horizontal permeability<br />

and mineralogy data.<br />

Future Work<br />

The models developed by Mou and Deng will be<br />

combined to produce one overall acid fracture<br />

simulator. The Hugoton case will serve as a test<br />

case by which the practicality <strong>of</strong> the simulator will<br />

be evaluated and improved as needed.<br />

(h)<br />

250<br />

200<br />

150<br />

100<br />

50<br />

CRISMAN INSTITUTE<br />

Project Information<br />

2.5.1 Acid Fracture Performance – Scale-Up <strong>of</strong> Fracture<br />

Conductivity<br />

Related Publications<br />

Deng, J., Hill, A.D. and Zhu, D. A Theoretical Study <strong>of</strong><br />

Acid Fracture Conductivity Under Closure Stress. Paper<br />

SPE-124755, presented at the <strong>2009</strong> SPE <strong>Annual</strong> Technical<br />

Conference and Exhibition, New Orleans, Louisiana, 4-7<br />

October.<br />

Mou, J., Zhu, D. and Hill, A.D. A New Acid-Fracture<br />

Conductivity Model Based on the Spatial Distributions <strong>of</strong><br />

Formation Properties. Paper SPE-127935 presented at the<br />

2010 SPE International Symposium on Formation Damage<br />

Control, Lafayette, Louisiana, 10-12 February.<br />

Mou, J., Zhu, D. and Hill, A.D. Acid-Etched Channels<br />

in Heterogeneous Carbonates—A Newly Discovered<br />

Mechanism for Creating Acid Fracture Conductivity.<br />

Paper SPE-119619 presented at the <strong>2009</strong> SPE Hydraulic<br />

Fracturing Technology Conference, The Woodlands, Texas,<br />

19-21 January.<br />

Contacts<br />

Dan Hill<br />

979.845.2278<br />

dan.hill@pe.tamu.edu<br />

Ding Zhu<br />

979.458.4522<br />

ding.zhu@pe.tamu.edu<br />

Flower Well Towanda Member Semivariogram<br />

0<br />

0 20 40 60 80 100 120<br />

h<br />

Fig. 1. Semivariogram for the Flower Well in the Towanda Member, illustrating<br />

a vertical correlation length <strong>of</strong> approximately 5 inches.<br />

Cassandra Beatty<br />

60<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Modeling and Analysis <strong>of</strong> Reservoir Response to Stimulation by Water Injection<br />

Objectives<br />

The distributions <strong>of</strong> pore pressure and stresses<br />

around a fracture are <strong>of</strong> interest in conventional<br />

hydraulic fracturing operations, fracturing during<br />

water-flooding <strong>of</strong> petroleum reservoirs, shale gas,<br />

and injection/extraction operations in a geothermal<br />

reservoir. During the operations, the pore pressure<br />

will increase with fluid injection into the fracture<br />

and leak <strong>of</strong>f to surround the formation. The pore<br />

pressure increase will induce the stress variations<br />

around the fracture surface. This can cause the<br />

slip <strong>of</strong> weakness planes in the formation and cause<br />

the variation <strong>of</strong> the permeability in the reservoir.<br />

Therefore, the investigation on the pore pressure<br />

and stress variations around a hydraulic fracture in<br />

petroleum and geothermal reservoirs has practical<br />

applications. With the pore pressure distribution,<br />

the failed reservoir volume can be estimated by<br />

considering the failure <strong>of</strong> rock mass.<br />

Y, ft<br />

3000<br />

2400<br />

1800<br />

1200<br />

(psi)<br />

6558.00<br />

600<br />

6148.33<br />

5738.67<br />

0<br />

5329.00<br />

4919.33<br />

-600<br />

4509.67<br />

4100.00<br />

-1200<br />

-1800<br />

-2400<br />

-3000 -2400 -1800 -1200 -600 0 600 1200 1800 2400<br />

X, ft<br />

Fig. 1. Pore Pressure Distribution around a Hydraulic Fracture.<br />

Approach<br />

In our study, we built up a model (FracJStim model)<br />

to calculate the pore pressure distribution around a<br />

fracture <strong>of</strong> a given length under the action <strong>of</strong> applied<br />

internal pressure and in-situ stresses as well as their<br />

variation due to cooling and pore pressure changes<br />

(Fig. 1). In the FracJStim model, the Structural<br />

Permeability Diagram (Fig. 2) is used to estimate<br />

the required additional pore pressure to reactivate<br />

the joints in the rock formations <strong>of</strong> the reservoir. By<br />

estimating the failed reservoir volume and comparing<br />

it with the actual stimulated reservoir volume, the<br />

enhanced reservoir permeability in the stimulated<br />

zone can be approximated.<br />

0<br />

270 90<br />

180<br />

Fig. 2. Structural Permeability Diagram for Barnett Shale.<br />

P<br />

(psi/ft)<br />

0.50<br />

0.06<br />

Significance<br />

This work is <strong>of</strong> interest in interpretation <strong>of</strong> microseismicity<br />

in hydraulic fracturing and in assessing<br />

permeability variation around a stimulation zone.<br />

The work can also be used to assess the accuracy <strong>of</strong><br />

more complex numerical models.<br />

Future Work<br />

We will continue developing the model to three<br />

Dimensions, including the stresses variations and<br />

heterogeneous conditions. We will also improve<br />

the application <strong>of</strong> this work by simulating multiple<br />

fractures.<br />

CRISMAN INSTITUTE<br />

Project Information<br />

2.5.10 Pore Pressure and Stress Distributions around an<br />

Injection-Induced Fracture<br />

Contacts<br />

Ahmad Ghassemi<br />

979.845.2206<br />

ahmad.ghassemi@pe.tamu.edu<br />

Jun Ge<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

61


Fracture Aperture Variation Caused by Reactive Transport <strong>of</strong> Silica and<br />

Poro-Thermoelastic Effect<br />

Introduction<br />

Poro-thermo-mechanical processes and<br />

mineral precipitation/dissolution change the<br />

fracture aperture and thus affect the fluid<br />

flow pattern in the fracture.<br />

a.<br />

t =3 months<br />

b.<br />

t =3 months<br />

Different aspects <strong>of</strong> thermal and mechanical<br />

processes have been studied (e.g. Ghassemi<br />

and Zhang, 2004; Ghassemi et al., 2005,<br />

2007, 2008, and <strong>2009</strong>). The thermoelastic<br />

effects are dominant near the injection when<br />

compared to those <strong>of</strong> poroelasticity. Under<br />

some conditions, silica reactivity tends to<br />

dominate permeability (Kumar and Ghassemi,<br />

2007). Experimental studies (Carroll et al.,<br />

1998; Johnson et al., 1998; Dobson et al.,<br />

2003) also show that chemical precipitation<br />

and dissolution <strong>of</strong> minerals significantly affect<br />

fracture aperture.<br />

c. t =3 months<br />

d.<br />

t =3 months<br />

Objectives<br />

We will study this phenomenon by the<br />

development and application <strong>of</strong> a threedimensional<br />

poro-thermoelastic model<br />

incorporating mineral dissolution/precipitation<br />

effects.<br />

Approach<br />

Simulating the poro-thermoelastic chemical<br />

mechanisms usually requires solving a coupled set<br />

<strong>of</strong> equations (e.g., fluid flow, heat transport, solute<br />

transport/reactions and elastic response <strong>of</strong> the<br />

reservoir). These processes are coupled and nonlinear.<br />

In this work, the solid mechanics aspect <strong>of</strong><br />

the problem is treated using poro-thermoelastic<br />

displacement discontinuity method (Ghassemi et<br />

al., <strong>2009</strong>), while reactive flow and heat transport in<br />

the fracture is solved using finite element method.<br />

Similarly, the solution system in the reservoir rock<br />

is obtained using the boundary element method. We<br />

focus on single-component mineral reactivity and<br />

its transport in the fracture. The solute reactivity<br />

and solubility in fracture plane is considered using a<br />

temperature dependent formulation (e.g., Robinson,<br />

1982, and Rimstidt and Barnes, 1980).<br />

Significance<br />

We apply the model to simulate the process <strong>of</strong><br />

low-temperature fluid injection and production <strong>of</strong><br />

high-temperature fluid in a hot-rock-reservoir, and<br />

a. Flow vector in planar fracture; b. Contour plot <strong>of</strong> the temperature (K) distribution;<br />

c. Contour plot <strong>of</strong> silica concentration (ppm) in the fracture; d. Ratio <strong>of</strong><br />

current fracture aperture to the initial fracture aperture.<br />

thus its impact on mineral mass distribution, pore<br />

pressure and thermal stress. Recent computations<br />

include temporal evolution <strong>of</strong> mineral concentration<br />

and its dissolution/precipitation, temperature, and<br />

fluid pressure in the fracture.<br />

Project Information<br />

2.5.14 Fracture Aperture Variation due to Reactive Transport<br />

<strong>of</strong> Silica and Poro-Thermoelastic Effect<br />

Related Publications<br />

Rawal C. and Ghassemi A. A 3-D Analysis <strong>of</strong> Solute<br />

Transport in a Fracture in Hot- and Poro-elastic Rock. Paper<br />

to be presented at the 2010 44th U.S. Rock Mechanics<br />

Symposium, ARMA, Salt Lake City, Utah, 27-30 June.<br />

Rawal C. and Ghassemi A. Reactive Flow in a Natural<br />

Fracture in Poro-thermoelastic Rock. Paper presented at<br />

the 2010 35th Stanford Geothermal Workshop. Stanford,<br />

California, 1-3 February.<br />

Contacts<br />

Ahmad Ghassemi<br />

979.845.2206<br />

ahmad.ghassemi@pe.tamu.edu<br />

Chakra Rawal<br />

CRISMAN INSTITUTE<br />

62<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Rheological Properties <strong>of</strong> a New Class <strong>of</strong> Viscoelastic Surfactant<br />

Objectives<br />

Surfactant-based acid systems were developed over<br />

the last few years for diversion, to overcome the<br />

severe problems caused by polymer residue and<br />

crosslinker precipitate after polymer-based system<br />

treatments during matrix and fracture acidizing.<br />

Surfactant molecules can form rod-like micelles and<br />

significantly increase the viscosity in the presence <strong>of</strong><br />

salts. After acid treatments, the surfactant gel can<br />

be broken by mixing with hydrocarbons, external<br />

breakers, or internal breakers or by reducing the<br />

concentration <strong>of</strong> salts via dilution with water. Acid<br />

additives and Fe (III) contamination can influence<br />

the formation <strong>of</strong> the rod-shaped micelles and result<br />

in different rheological properties from what we<br />

want. A new class <strong>of</strong> viscoelastic surfactant (VES)-<br />

amidoamine oxide has been tested in this study.<br />

The effects <strong>of</strong> acid additives, Fe (III) contamination,<br />

temperatures and shear rates need to be examined<br />

on the rheological properties <strong>of</strong> this new surfactant.<br />

Approach<br />

Acid additives studied included corrosion inhibitors,<br />

mutual solvents, non-emulsifying surfactants, iron<br />

control agents and a hydrogen sulfide scavenger.<br />

The Grace Instrument M5600 HPHT Rheometer was<br />

used to measure the apparent viscosity <strong>of</strong> live and<br />

spent acids under different conditions. The wetted<br />

material is Hastelloy C-276, which is acid-resistant.<br />

Measurements were made at temperatures from 75-<br />

220°F, and 300 psi at various shear rates from 0.01-<br />

935 s -1 . An Orion 950 analytical titrator was used to<br />

measure HCl concentration. The centrifuge used in<br />

this study was Z 206 A from Labnet International.<br />

Apparent Viscosity (cp)<br />

1200<br />

1000<br />

800<br />

600<br />

400<br />

200<br />

0<br />

5<br />

10<br />

15<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

C HCl<br />

(wt%)<br />

20<br />

8<br />

10<br />

12<br />

15<br />

18<br />

20<br />

25<br />

28<br />

Acid Concentration (wt%)<br />

Viscosity (cp)<br />

108.8632<br />

706.438<br />

984.783<br />

175.0444<br />

12.1892<br />

5.8126<br />

2.8148<br />

2.896<br />

25 30<br />

Fig. 1. Apparent viscosity (10 s -1 ) <strong>of</strong> surfactant-based live acids that contained<br />

4 wt% surfactant, 1 wt% CI-A and various HCl concentrations.<br />

Apparent Viscosity (cp)<br />

1800<br />

1600<br />

1400<br />

1200<br />

1000<br />

800<br />

600<br />

400<br />

200<br />

Accomplishments<br />

Calcium chloride increased the apparent viscosity<br />

<strong>of</strong> live acids. Concentration <strong>of</strong> HCl in the live acid<br />

system affected its apparent viscosity. Live acid<br />

Project Information<br />

2.5.15 Reaction <strong>of</strong> Organic Acids with Calcite<br />

Related Publications<br />

Li, L., Nasr-El-Din, H.A., Crews, J.B., and Cawiezel, K.E.<br />

2010. Impact <strong>of</strong> Organic Acids/Chelating Agents on<br />

Rheological Properties <strong>of</strong> Amidoamine Oxide Surfactant.<br />

Paper SPE 128091 will be presented at the 2010 SPE<br />

International Symposium on Formation Damage Control,<br />

Lafayette, Louisiana, 10-12 February.<br />

Li, L., Nasr-El-Din, H.A., and Cawiezel, K.E. <strong>2009</strong>.<br />

Rheological Properties <strong>of</strong> a New Class <strong>of</strong> Viscoelastic<br />

Surfactant. Paper SPE 121716 presented at the <strong>2009</strong><br />

SPE International Symposium on Oilfield Chemistry, The<br />

Woodlands, Texas, 20-22 April.<br />

Contacts<br />

Hisham A. Nasr-El-Din<br />

979.862.1473<br />

hisham.nasreldin@pe.tamu.edu<br />

Lingling Li<br />

-1<br />

Shear Rate = 10 s<br />

P = 300 psi<br />

0<br />

50 70 90 110 130 150 170 190 210 230<br />

Temperature (°F)<br />

only CI-A<br />

0.1 wt% FeCl3<br />

0.5 wt% H2S scavenger<br />

0.5 wt% demulsifier<br />

Fig. 2. Effect <strong>of</strong> some acid additives on the apparent viscosity <strong>of</strong> spent<br />

acids (pH = 4 ~ 5). All solutions contained CI-A.<br />

(continued on next page)<br />

CRISMAN INSTITUTE<br />

63


that contained 12 wt% HCl showed the highest<br />

apparent viscosity. Low concentrations <strong>of</strong> Fe (III)<br />

caused an increase in the apparent viscosity. Two<br />

immiscible liquids and then a precipitate were noted<br />

as the concentration <strong>of</strong> ferric ion was increased in<br />

live acids. Iron control agents reduced the apparent<br />

viscosity <strong>of</strong> surfactant-based acids. The impact <strong>of</strong><br />

lactic acid on the apparent viscosity was significant,<br />

especially at high lactic acid concentrations. Citric<br />

acid also reduced the viscosity <strong>of</strong> surfactant based<br />

acids, but cannot be used at concentrations greater<br />

than 0.5 wt% because <strong>of</strong> this precipitation <strong>of</strong><br />

calcium citrate. Ethylenediaminetetraacetic acid<br />

(EDTA) slightly reduced the viscosity <strong>of</strong> surfactant<br />

based acids, but the solubility <strong>of</strong> EDTA in 20 wt%<br />

HCl is very low. Up to 1 wt% methanol can be used<br />

with this spent acid system at temperatures below<br />

175°F. Higher concentrations <strong>of</strong> methanol caused<br />

significant reduction in the apparent viscosity.<br />

Future Work<br />

Simple organic acids and iron control agents<br />

(α-hydroxyl carboxylic acids) can interfere with<br />

micelle shape and reduce the apparent viscosity<br />

<strong>of</strong> VES-based acids, therefore their influences will<br />

be tested in the future. A transmission electron<br />

microscope (TEM) will also be used to examine the<br />

effects <strong>of</strong> acids on micelle shapes.<br />

64<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Acid Hydrolysis <strong>of</strong> Carboxybetaine Viscoelastic Surfactant<br />

Objectives<br />

Viscoelastic surfactants (VES) are recognized by<br />

their unique ability to form gel in-situ, and thus<br />

have been widely applied in acid diverting and<br />

fracturing treatments. Several types <strong>of</strong> VES have<br />

been used, including carboxybetaine surfactants.<br />

However, when mixed with hydrochloric acid under<br />

high temperatures, this particular type <strong>of</strong> VES is<br />

subjected to acid hydrolysis and may lose its viscoelastic<br />

property.<br />

The objective <strong>of</strong> this study is to examine the impact<br />

<strong>of</strong> acid hydrolysis <strong>of</strong> carboxybetaine surfactants on<br />

their performance in various field applications.<br />

Approach<br />

Hydrolysis experiments were conducted on HCl<br />

solutions that contained 7 wt% VES at various<br />

temperatures, acid concentrations and time. These<br />

fluids were heated to the temperature <strong>of</strong> interest,<br />

held for different periods <strong>of</strong> time, cooled to room<br />

temperature, neutralized by CaCO 3<br />

and their<br />

viscosity was measured as a function <strong>of</strong> shear rate<br />

using a Grace Instrument M3600 viscometer.<br />

Accomplishments<br />

It was found that these VES fluids lost viscosity<br />

significantly after hydrolysis, and the viscosity <strong>of</strong> the<br />

hydrolyzed sample was influenced by temperature,<br />

acid concentration, and time. Moreover, an oily<br />

phase was separated from the aqueous phase in the<br />

hydrolyzed samples.<br />

Significance<br />

The observations from the experiments indicated<br />

that when carboxybetaine VES is mixed with HCl at<br />

high temperature, it may lose its ability to increase<br />

fluid viscosity; and further more, the two phase<br />

mixture after hydrolysis may cause formation<br />

damage. Current research work will be conducted<br />

to investigate what factors affect acid hydrolysis <strong>of</strong><br />

carboxybetaine surfactants, and how they affect it.<br />

At the end <strong>of</strong> this research, recommendations will be<br />

given on how to use these surfactants in the field.<br />

CRISMAN INSTITUTE<br />

Project Information<br />

2.5.16 Quantitative Analysis <strong>of</strong> Amphoteric Surfactant<br />

Related Publications<br />

Yu, M. and Nasr-El-Din, H. Quantitative Analysis <strong>of</strong> an<br />

Amphoteric Surfactant in Acidizing Fluids and Coreflood<br />

Effluent. Paper SPE 121715 presented at the <strong>2009</strong> SPE<br />

Symposium on Oilfield Chemistry, Woodlands, Texas, 20-<br />

22 April.<br />

Contacts<br />

Hisham Nasr-El-Din<br />

979.862.1473<br />

hisham.nasreldin@pe.tamu.edu<br />

Meng Yu<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

65


Evaluation <strong>of</strong> Polymer-Based In-Situ Gelled Acids during Well Stimulation<br />

Introduction<br />

An in-situ gelled system based on a polymer that is<br />

stable in an aqueous acid environment can be crosslinked<br />

in the presence <strong>of</strong> ferric ions or zirconium ions<br />

at a pH <strong>of</strong> about 2 or greater. The polymer should<br />

contain carboxyl groups; such polymers include<br />

acrylamide and acrylamide copolymers. Initial<br />

spending <strong>of</strong> the live acid, during leak-<strong>of</strong>f and wormholing,<br />

produces a rise in pH to a value <strong>of</strong> above,<br />

or about, 2, which initiates cross-linking <strong>of</strong> the<br />

polymer (resulting in a rapid increase in viscosity).<br />

This increase in viscosity creates the diversion<br />

from wormholes, from fissures, and from within<br />

the matrix. As the acid spends further and the pH<br />

continues to rise, the reducing agent converts the<br />

ferric ions to ferrous ions. The gel structure will<br />

collapse and the acid system reverts back to a low<br />

viscosity fluid.<br />

Approach<br />

Three commercial acid systems from three different<br />

companies were evaluated under normal and<br />

severe contamination <strong>of</strong> iron and salt. Experimental<br />

studies were conducted to measure the rheological<br />

properties for in-situ gelled acid using an oscillation<br />

rheometer and a rotational viscometer. To the best <strong>of</strong><br />

our knowledge, this is the first time that the elastic<br />

properties were measured for these acids. Finally,<br />

a coreflood study was conducted using Indiana<br />

limestone cores (1.5 in diameter, 20 in long) at<br />

250°F. Propagation <strong>of</strong> the acid, polymer, and crosslinker<br />

inside the long cores was examined for the<br />

first time in detail.<br />

Objectives<br />

In-situ gelled acids that are based on polymers have<br />

been used in the field for several years, and were the<br />

subject <strong>of</strong> many lab studies. There are conflicting<br />

opinions about using these acids. These acids were<br />

used in the field, with mixed results, yet recent lab<br />

work indicated that these acids can cause damage<br />

under certain conditions. There is no agreement<br />

on when this system can be successfully applied in<br />

the field, therefore the objective <strong>of</strong> this research is<br />

to recommend the best conditions where polymerbased<br />

acids can be used.<br />

Normalized Pressure Drop<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

Shear Rate, s -1<br />

743<br />

1288<br />

1780<br />

2161<br />

0 1 2 3 4 5 6<br />

Cumulative Injected Volume, PV<br />

Normalized Pressure Drop for the four experiments conducted at different<br />

shear rate, T = 250°F.<br />

CRISMAN INSTITUTE<br />

Project Information<br />

2.5.17 Viscosity <strong>of</strong> Polymer-Based In-Situ Gelled Acids<br />

during Well Stimulation<br />

Related Publications<br />

Gomaa, A.M., and Nasr-El-Din, H.A. Rheological Properties<br />

<strong>of</strong> Polymer-Based In-Situ Gelled Acids: Experimental and<br />

Theoretical Studies. Paper SPE 128057, presented at the<br />

2010 Oil and Gas India Conference and Exhibition, Mumbai,<br />

India, 20–22 January.<br />

Gomaa, A.M., Mahmoud, M., and Nasr-El-Din, H.A. When<br />

Polymer-based Acids can be used? A Core Flood Study.<br />

Paper TPTC 13739, presented at the <strong>2009</strong> SPE International<br />

Petroleum Technology Conference, Doha, Qatar, 7–9<br />

December.<br />

Gomaa, A.M., Nasr-El-Din, H.A. Viscosity <strong>of</strong> Polymer-<br />

Based In-Situ Gelled Acids during Well Stimulation. Paper<br />

SPE 121728, presented at the <strong>2009</strong> SPE International<br />

Symposium on Oilfield Chemistry held in The Woodlands,<br />

Texas, 20–22 April.<br />

Contacts<br />

Hisham A. Nasr-El-Din<br />

979.862.1473<br />

hisham.nasreldin@pe.tamu.edu<br />

Ahmed Gomaa<br />

66<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Determination <strong>of</strong> CT number for gel residue.<br />

Future Work<br />

A parallel coreflood study will be conducted using<br />

multistage acid injection. Propagation <strong>of</strong> each acid<br />

stage, polymer, and cross-linker inside the long<br />

cores will be examined in detail. Also, reaction<br />

rate measurement for the in-situ gelled acid using<br />

a rotating disk apparatus will be conducted under<br />

different conditions.<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

67


Modeling <strong>of</strong> Discrete Fracture Network using Voronoi Grid System<br />

Objectives<br />

Dual-porosity (DP) is the most common model to<br />

simulate fluid flow through fractured media. This<br />

model comprises several limitations (i.e., it is not<br />

well suited to accurately model fracture networks<br />

with multiple orientations). On the other hand, a<br />

single-porosity model with conventional gridding<br />

techniques requires an excessive number <strong>of</strong> grids to<br />

model fractures explicitly.<br />

The objectives <strong>of</strong> this work are to develop a<br />

reservoir simulator (DFNSIM) along with a novel<br />

gridding technique based on Voronoi algorithm to<br />

allow fracture networks represented explicitly into<br />

reservoir model.<br />

Approach<br />

It requires two different domains to represent<br />

fractures explicitly in a simulation model: geometrical<br />

and computational (Fig. 1). In the geometrical<br />

domain, the fracture is represented as a line. The<br />

volume and permeability <strong>of</strong> each fracture segment<br />

are calculated based on a given fracture aperture<br />

distribution (i.e. log-normal distribution from X-Ray<br />

CT Scan) in the computational domain.<br />

(a) Geometrical domain<br />

(b) Computational domain<br />

(a) Unfractured<br />

(b) Fractured<br />

Fig. 2. Grid generation for unfractured and fractured systems.<br />

by Chong et al. However, the governing equation <strong>of</strong><br />

the simulator was similar to DFNSIM (CVFD).<br />

Prior to using DFNSIM in modeling reservoirs with<br />

fractures including their apertures distribution,<br />

the simulator was validated against commercial<br />

simulators. The simulator provides results in close<br />

agreement with those <strong>of</strong> reference finite-difference<br />

simulators (SPE-1 comparative solutions; after Aziz<br />

& Odeh, SPEJ, 1981).<br />

CRISMAN INSTITUTE<br />

Project Information<br />

3.1.19 Modeling <strong>of</strong> Discrete Fracture Network using Voronoi<br />

Grid System<br />

Related Publications<br />

Chong, E., Syihab, Z., Putra, E., Hidayati, D.T., Schechter,<br />

D. A New Grid Block System for Reducing Grid Orientation<br />

Effect, Journal <strong>of</strong> Petroleum Science and Technology.<br />

(November 2007) London, UK.<br />

Fig. 1. Fracture representation (geometrical and computational domains).<br />

Accomplishments<br />

Two major accomplishments were achieved from<br />

this work: (1) fracture network gridding and (2)<br />

development <strong>of</strong> a control volume finite-difference<br />

numerical simulatior (CVFD), which can be used for<br />

both fractured and unfractured systems (Fig. 2).<br />

The unstructured grid (without fracture) was initially<br />

tested to reduce the grid orientation effect. The<br />

grid model was constructed by a combination <strong>of</strong><br />

rectangular, hexagonal, and triangle shapes. The<br />

test was run using a separate simulator developed<br />

Tae, H. K. and Schechter, D.S. Estimation <strong>of</strong> Fracture<br />

Porosity <strong>of</strong> Naturally Fractured Reservoirs with No Matrix<br />

Porosity Using Fractal Discrete Fracture Networks. Paper<br />

SPE presented at the 2007 SPE <strong>Annual</strong> Technical Conference<br />

and Exhibition, Anaheim, California, 11–14 November.<br />

Syihab, Zuher.: <strong>2009</strong>. Simulation <strong>of</strong> Discrete Fracture<br />

Network Using Flexible Voronoi Gridding. PhD dissertation.<br />

Texas A&M U., College Station, Texas.<br />

Contacts<br />

David Schechter<br />

979.845.2275<br />

david.schechter@pe.tamu.edu<br />

Zuher Syihab<br />

68<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


After successful validation, a fractal discrete fracture<br />

network (FDFN) model was generated based on a<br />

real outcrop data from Bridger Gap, Wyoming (Fig.<br />

3). The model was compared with a system with no<br />

fractures to observe the impact <strong>of</strong> the fractures on<br />

sweep efficiency (Fig. 4).<br />

The grid model <strong>of</strong> the fracture network is depicted in<br />

Fig. 2b and Fig. 3c.<br />

(a) Rose Diagram <strong>of</strong> FDFN<br />

120<br />

90<br />

6<br />

60<br />

4<br />

150<br />

2<br />

30<br />

180 0<br />

(b) Fracture network map<br />

(c) Grid system<br />

210<br />

330<br />

240<br />

270<br />

300<br />

Oil producer<br />

Fig. 3. (a) Rose diagram, (b) fracture network map, and (c) grid system<br />

<strong>of</strong> an outcrop at Bridger Gap, Wyoming.<br />

(a) Connected fractures<br />

(b) No fracture<br />

Fig. 4. Gas saturation at 730 days (fractured and unfractured systems).<br />

Significance<br />

A numerical simulator was developed in this work<br />

that allows direct input and simulation <strong>of</strong> discrete<br />

fracture networks. This work solved the problem<br />

<strong>of</strong> how to grid fracture intersections. We now have<br />

the capability <strong>of</strong> modeling connected fracture<br />

networks thus bypassing conventional dual porosity<br />

simulation.<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

69


Thermo-Poroelastic Finite Element Analysis <strong>of</strong> Rock Deformation and Damage<br />

Introduction<br />

Stress change and permeability variations caused<br />

by rock failure play an important role in geothermal<br />

reservoir development, particularly in understanding<br />

stimulation outcomes and induced seismicity.<br />

Cold water injection causes significant change in<br />

temperature, pore pressure, and thus the stresses<br />

near the wellbore and in the reservoir which, in turn<br />

influence rock permeability.<br />

Permeability (md)<br />

22<br />

20<br />

18<br />

16<br />

14<br />

12<br />

10<br />

8<br />

6<br />

1 sec<br />

10 sec<br />

30 sec<br />

Objectives<br />

In this work, we present the development <strong>of</strong> a fullycoupled<br />

thermo-poro-mechanical finite element<br />

model with damage mechanics and stress dependent<br />

permeability for simulating rock response to cold<br />

water injection.<br />

4<br />

2<br />

0<br />

1<br />

2<br />

3<br />

r/a<br />

Permeability distributions around the wellbore.<br />

14<br />

4<br />

5<br />

Stress (MPa)<br />

140<br />

120<br />

100<br />

80<br />

60<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

Damage<br />

Pore Pressure (MPa)<br />

12<br />

10<br />

8<br />

6<br />

4<br />

1 sec<br />

30 sec<br />

ref-1 sec<br />

ref-30 sec<br />

40<br />

0.2<br />

Stress<br />

20<br />

Damage<br />

0<br />

0.005 0.010 0.015 0.020 0.025 0.030<br />

r/a<br />

Finite element simulations <strong>of</strong> a triaxial test. Green line: brittle behavior<br />

<strong>of</strong> strain-stress relationships; red line: damage evolution when stresses<br />

satisfy the failure criterion.<br />

Approach<br />

Both conductive and convective heat transport are<br />

considered in the thermo-poroelastic formulation.<br />

The model is used to perform a series <strong>of</strong> numerical<br />

experiments to study the influence <strong>of</strong> cold water<br />

injection on rock damage and permeability<br />

enhancement. The rock damage is reflected in the<br />

alteration <strong>of</strong> its elastic modulus and permeability.<br />

Accomplishments<br />

The results show that damage propagation is<br />

accompanied by a relaxation <strong>of</strong> the effective stress<br />

in the damage zone and its concentration in the<br />

intact rock near the interface with the damage zone.<br />

2<br />

0<br />

1<br />

2<br />

Pore pressure distributions around the wellbore. Solid lines represent<br />

pore pressure distributions for damage; Dashed lines give the results for<br />

the reference case with no damage.<br />

Significance<br />

The model provides a tool for the analysis <strong>of</strong> stress<br />

induced micro-seismicity and fracture propagation<br />

in geothermal and petroleum reservoirs.<br />

CRISMAN INSTITUTE<br />

Project Information<br />

3.1.21 Reservoir Geomechanics: Thermo-Poroelastic<br />

Analysis <strong>of</strong> Rock Deformation and Damage<br />

Contacts<br />

Ahmad Ghassemi<br />

979.845.2206<br />

ahmad.ghassemi@pe.tamu.edu<br />

3<br />

r/a<br />

4<br />

5<br />

Sang Hoon Lee<br />

70<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Application <strong>of</strong> Adaptive Gridding and Upscaling for Improved Tight Gas Reservoir<br />

Simulation<br />

Objectives<br />

The objective <strong>of</strong> this research is to improve the<br />

flow simulation <strong>of</strong> tight gas reservoirs through the<br />

application <strong>of</strong> unstructured upscaling <strong>of</strong> detailed 3D<br />

geo-cellular models. The techniques are designed<br />

to preserve the high resolution well productivity<br />

and connectivity <strong>of</strong> the reservoir description while<br />

at the same time reducing the cost <strong>of</strong> the reservoir<br />

simulation computation.<br />

Accomplishments<br />

We have completed the conversion <strong>of</strong> the tight gas<br />

Eclipse field model (made available to us through<br />

an MCERI project) to the VIP and Nexus simulators.<br />

We have provided our own high resolution<br />

transmissibility upscaling algorithms for simple grid<br />

coarsening geometries as a pre-requisite to more<br />

difficult upscaling problems. We have also compared<br />

our transmissibility upscaling algorithms with the<br />

VIP and Nexus simulators’ cell property-based<br />

upscaling, to determine under what circumstances<br />

the high resolution algorithms provide better flow<br />

characterization.<br />

Detailed View <strong>of</strong> the High Resolution 375 Layer 3D Geologic Model, giving<br />

a better perspective <strong>of</strong> the variation <strong>of</strong> sand thickness associated with the<br />

individual simulation layers.<br />

Future Work<br />

We will work on the understanding <strong>of</strong> VIP/Nexus’s<br />

underlying theory for the upscaling, and replace<br />

its upscaled properties (transmissibility and well<br />

index) with our own upscaled properties to get more<br />

accurate results.<br />

Medium Resolution 75 Layer 3D Geologic Model <strong>of</strong> the 10 x 10 x 375 test<br />

volume <strong>of</strong> a Tight Gas Reservoir. This model was developed using the VIP<br />

simulator’s built-in grid and property coarsening algorithms, here for 1 x<br />

1 x 5 coarsening. Our research project will provide improved coarsened<br />

representations <strong>of</strong> the fine scale reservoir model that better preserve the<br />

reservoir connectivity and properties.<br />

CRISMAN INSTITUTE<br />

High Resolution 375 Layer 3D Geologic Model <strong>of</strong> a 10 x 10 test area <strong>of</strong> a<br />

Tight Gas Reservoir. This model shows the intermittent connectivity associated<br />

with the fluvial nature <strong>of</strong> these reservoirs.<br />

Project Information<br />

3.1.22 Application <strong>of</strong> Adaptive Gridding and Upscaling for<br />

Improved Tight Gas Reservoir Simulation<br />

Contacts<br />

Michael King<br />

979.845.1488<br />

mike.king@pe.tamu.edu<br />

Yijie Zhou<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

71


Measurement and Correlation <strong>of</strong> Gas Viscosities at High Pressures and High<br />

Temperatures<br />

Introduction<br />

High-pressure and high-temperature (HPHT) gas<br />

reservoirs are defined as having pressures greater<br />

than 10,000 psia and temperatures over 300°F.<br />

Modeling the performance <strong>of</strong> these reservoirs<br />

requires the understanding <strong>of</strong> gas behavior at<br />

elevated pressure and temperature. An important<br />

fluid property is gas viscosity, as it is used to model<br />

the gas mobility in the reservoir and can have a<br />

significant impact on reserves estimation during field<br />

development planning. Accurate measurements <strong>of</strong><br />

gas viscosity at HPHT conditions are both extremely<br />

difficult and expensive, thus this fluid property is<br />

typically estimated from published correlations<br />

based on laboratory data. Unfortunately, the<br />

correlations available today do not have a sufficiently<br />

broad range <strong>of</strong> applicability in terms <strong>of</strong> pressure and<br />

temperature, so their accuracy may be doubtful for<br />

the prediction <strong>of</strong> gas viscosity at HPHT conditions.<br />

Objectives<br />

This project will review the databases <strong>of</strong> hydrocarbon<br />

gas viscosity that are available in the public domain,<br />

and discuss the validity <strong>of</strong> published gas viscosity<br />

correlations based on their applicability range.<br />

Approach<br />

A falling body viscometer was used to measure the<br />

HPHT gas viscosity in the laboratory. This system is<br />

very common for the measurement <strong>of</strong> liquid viscosity<br />

and, in some specific circumstances (lubrication or<br />

small percentage <strong>of</strong> liquid phase), can also measure<br />

low viscosities. The decision to use such a viscometer<br />

was based on the consideration that it is the only<br />

device built to withstand extreme high pressure at<br />

an acceptable cost. The instrument was calibrated<br />

with nitrogen and then, to represent reservoir gas<br />

behavior more faithfully, pure methane was used.<br />

The subsequently measured data, recorded over a<br />

wide range <strong>of</strong> pressure and temperature, was then<br />

used to evaluate the reliability <strong>of</strong> the most commonly<br />

used correlations in the petroleum industry. The<br />

results <strong>of</strong> the comparison suggest that at pressures<br />

higher than 8000 psia, the laboratory measurements<br />

drift from the National Institute <strong>of</strong> Standards and<br />

Technology (NIST) values by up to 7.48%.<br />

Finally, a sensitivity analysis was performed to<br />

assess the effect <strong>of</strong> gas viscosity estimation errors<br />

on the overall gas recovery from a synthetic HPHT<br />

reservoir, using numerical reservoir simulations. The<br />

result shows that a -10% error in gas viscosity can<br />

produce an 8.22% error in estimated cumulative<br />

gas production, and a +10% error in gas viscosity<br />

can lead to a 5.5% error in cumulative production.<br />

Significance<br />

The preliminary results indicate that the accuracy<br />

<strong>of</strong> gas viscosity estimation can have a significant<br />

impact on reserves evaluation.<br />

Future Work<br />

This project has led to the following conclusions:<br />

» Accurate measurements <strong>of</strong> natural gas viscosity<br />

under HPHT conditions are yet to be obtained,<br />

» Gas viscosity correlations derived from data<br />

obtained at low to moderate pressures and<br />

temperatures cannot be confidently extrapolated<br />

to HPHT conditions,<br />

» Gas viscosity correlations currently available to<br />

the petroleum industry were derived from data<br />

obtained with limited impurities, and so their<br />

accuracy for use with gases containing large<br />

quantities <strong>of</strong> impurities is unknown,<br />

» Laboratory investigations performed using<br />

nitrogen showed a consistently negative error<br />

when compared to the NIST reported values.<br />

Preliminary results stress the importance <strong>of</strong><br />

obtaining an exhaustive range <strong>of</strong> measurements <strong>of</strong><br />

the viscosity <strong>of</strong> natural gases under HPHT conditions<br />

in order to ensure better reserves estimations. To<br />

this aim, further tests are ongoing.<br />

Project Information<br />

3.2.4 Measurement and Correlation <strong>of</strong> Gas Viscosities at<br />

High Pressures and High Temperatures<br />

Contacts<br />

Gioia Falcone<br />

979.847.8912<br />

gioia.falcone@pe.tamu.edu<br />

Catalin Teodoriu<br />

catalin.teodoriu@pe.tamu.edu<br />

Ehsan Davani<br />

CRISMAN INSTITUTE<br />

72<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Measurement <strong>of</strong> Gas Viscosity at High Pressures and High Temperatures<br />

Introduction<br />

Gas viscosity is an important fluid property in<br />

petroleum engineering due to its impact in oil<br />

and gas production and transportation where it<br />

contributes to the resistance to the flow <strong>of</strong> a fluid<br />

both in porous media and pipes. Although this<br />

property has been studied thoroughly at low to<br />

intermediate pressures and temperatures, there is a<br />

lack <strong>of</strong> detailed knowledge <strong>of</strong> gas viscosity behavior<br />

at high pressures and high temperatures (HPHT) in<br />

the oil and gas industry.<br />

The need to understand and be able to predict<br />

gas viscosity at HPHT has become increasingly<br />

important as exploration and production has moved<br />

to ever deeper formations where HPHT conditions<br />

are more likely to be encountered. Knowledge <strong>of</strong><br />

gas viscosity is required for fundamental petroleum<br />

engineering calculations that allow one to optimize<br />

the overall management <strong>of</strong> an HPHT gas field and<br />

to better estimate reserves. Existing gas viscosity<br />

correlations are derived using measured data at low<br />

to moderate pressures and temperatures, i.e. less<br />

than 10,000 psia and 300°F, and then extrapolated<br />

to HPHT conditions. No measured gas viscosities at<br />

HPHT are currently available, and so the validity <strong>of</strong><br />

this extrapolation approach is doubtful due to the<br />

lack <strong>of</strong> experimental calibration.<br />

Objectives<br />

The National Institute <strong>of</strong> Standards and Technology<br />

(NIST) has developed a computer program that<br />

predicts thermodynamic and transport properties<br />

<strong>of</strong> hydrocarbon fluids, which allows comparison<br />

<strong>of</strong> its values with those from correlations and<br />

gives an insight into the current understanding <strong>of</strong><br />

gas viscosity correlations. Note that Viswanathan<br />

modified the Lee, Gonzalez, and Eakin correlation<br />

by using NIST values. The above review <strong>of</strong> existing<br />

gas viscosity correlations reveals that there are<br />

no measurements available at HPHT conditions.<br />

Correlations derived from data at low to moderate<br />

pressures and temperatures should not be simply<br />

extrapolated to HPHT conditions without validation<br />

against experimental measurements.<br />

Our objectives are to measure the viscosity <strong>of</strong> four<br />

naturally occurring hydrocarbon gases at various<br />

pressures and temperatures, with emphasis on high<br />

pressures and temperatures; use the measured<br />

viscosities to check and extend an existing correlation<br />

proposed by Lee et al.; use gas compressibility<br />

factors to check and extend the gas compressibility<br />

correlation equation proposed by Piper et al.; and<br />

develop a new correlation to predict viscosity as a<br />

function <strong>of</strong> composition, pressure, and temperature.<br />

Approach<br />

Our facility consists <strong>of</strong> a gas source, a gas booster<br />

system, a measuring system, and a data acquisition<br />

system. The measuring system is the Cambridge<br />

SPL440 High Pressure Research Viscosity Sensor<br />

that is tailored to measure gas viscosities at<br />

HPHT conditions. This technology is based on an<br />

electromagnetic concept, with two coils moving a<br />

piston back and forth magnetically at a constant<br />

force. The piston’s two-way travel time is then<br />

related to the fluid’s viscosity by a proprietary<br />

equation. The viscosity range for the system is 0.02<br />

to 0.2 cp, with a reported accuracy <strong>of</strong> 1% <strong>of</strong> full<br />

scale. The maximum operating pressure is 25,000<br />

psig. The Cambridge ViscoLab PVT s<strong>of</strong>tware was<br />

used to record the measurements.<br />

(continued on next page)<br />

Project Information<br />

3.2.4 Measurement and Correlation <strong>of</strong> Gas Viscosities at<br />

High Pressures and High Temperatures<br />

Contacts<br />

Gioia Falcone<br />

979.847.8912<br />

gioia.falcone@pe.tamu.edu<br />

Catalin Teodoriu<br />

catalin.teodoriu@pe.tamu.edu<br />

Kegang Ling<br />

CRISMAN INSTITUTE<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

73


The falling body viscometer is selected to measure gas<br />

viscosity for a pressure range <strong>of</strong> 3,000 to 24,500 psia<br />

and temperature range <strong>of</strong> 100 to 415°F. Nitrogen was<br />

used to calibrate the instrument and to account for<br />

the fact that the concentrations <strong>of</strong> non-hydrocarbons<br />

are observed to increase dramatically in HPHT<br />

reservoirs. Then methane viscosity is measured to<br />

reflect the fact that, at HPHT conditions, the reservoir<br />

fluids will be very lean gases, typically methane with<br />

some degree <strong>of</strong> impurity. The experiments showed<br />

that while the correlation <strong>of</strong> Lee et al. accurately<br />

estimates gas viscosity at low to moderate pressure<br />

and temperature, it does not provide a good match<br />

to gas viscosity at HPHT conditions.<br />

higher than the values provided by the NIST and<br />

by previous investigators. The difference increases<br />

as temperature decreases, and it increases as<br />

pressure increases. These preliminary results stress<br />

the importance <strong>of</strong> obtaining an exhaustive range<br />

<strong>of</strong> measurements <strong>of</strong> the viscosity <strong>of</strong> natural gases<br />

under HPHT conditions in order to ensure better<br />

reserves estimation. To this aim, further tests are<br />

ongoing at Texas A&M University.<br />

Accomplishments<br />

Comparing our result with NIST values and data at<br />

low to moderate pressure and temperature from<br />

previous investigators showed that:<br />

» Nitrogen viscosity—The lab data matched the<br />

NIST values as well as those reported by other<br />

investigators at low to moderate pressures, while<br />

they are lower at high pressure. The difference<br />

between measured data and NIST values increases<br />

as temperature decreases; this difference also<br />

increases as pressure increases.<br />

» Methane viscosity—New lab data matched the<br />

NIST values at low to moderate pressure, but the<br />

new experimental viscosities are higher at high<br />

pressure. The mismatch decreases as temperature<br />

increases, and increases as pressure increases.<br />

Significance<br />

Gas viscosity correlations derived from data obtained<br />

at low to moderate pressures and temperatures cannot<br />

be confidently extrapolated to HPHT conditions. The<br />

gas viscosity correlations that are currently available<br />

to the petroleum industry were derived from data<br />

obtained with gases with limited impurities, and so<br />

their accuracy for use with gases containing large<br />

quantities <strong>of</strong> impurities is unknown.<br />

The laboratory investigations performed at TAMU<br />

show that, at high pressure, the experimental<br />

nitrogen viscosities are lower than the values<br />

provided by the NIST and by previous investigators.<br />

The observed mismatch increases as temperature<br />

decreases, and it increases as pressure increases.<br />

For methane, the TAMU investigations show that,<br />

at high pressure, the experimental viscosities are<br />

74<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Numerical Modeling <strong>of</strong> Fracture Permeability Change in Naturally Fractured<br />

Reservoirs using a Fully Coupled Displacement Discontinuity Method<br />

Introduction<br />

Pressure depletion in a naturally fractured reservoir<br />

can result in effective stress change that, in turn,<br />

can affect fracture aperture and the reservoir<br />

permeability. The dependence <strong>of</strong> fracture aperture and<br />

reservoir permeability on stress must be considered<br />

in modeling a naturally fractured reservoir. The<br />

dependence involves coupled interactions among<br />

fluid, porous matrix, and fracture. The previous<br />

methods on the dependence <strong>of</strong> fracture permeability<br />

on the pressure depletion did not consider the fully<br />

coupled interactions <strong>of</strong> fluid, porous matrix, and<br />

fracture or the real deformation mechanism <strong>of</strong><br />

fracture.<br />

Approach<br />

We developed a new approach to solve the fluid<br />

pressure, stress change, and fracture aperture<br />

change in fractures simultaneously. We did this<br />

by combining a finite difference method (FDM) to<br />

solve the fluid diffusion in fractures a fully coupled<br />

displacement discontinuity method (DDM) to<br />

build the global relation <strong>of</strong> fracture deformation,<br />

and a nonlinear Barton-Bandis model <strong>of</strong> fracture<br />

deformation to build the local relation <strong>of</strong> fracture<br />

deformation. The fully coupled DDM is based on<br />

Biot’s theory <strong>of</strong> poroelasticity which is a linear<br />

elastic theory to account for the coupled interactions<br />

between porous matrix and fluid in a porous medium<br />

saturated with a compressible fluid. The analytical<br />

solution <strong>of</strong> induced stress and pore pressure by the<br />

deformation <strong>of</strong> a finite thin fracture in an infinite<br />

elastic porous medium is provided. The influences<br />

<strong>of</strong> deformation <strong>of</strong> complicated fracture network are<br />

obtained by the superposition <strong>of</strong> the fundamental<br />

analytical solution. The stress acting on the fracture<br />

surface and the deformation <strong>of</strong> the fracture also must<br />

comply with the fracture deformation model (e.g.<br />

Barton-Bandis model). The fluid flow in the fracture<br />

network is solved by an FDM. The interface flow<br />

rate between the fracture and matrix is implicitly<br />

included in the fully coupled DDM. As a result, the<br />

approach is able to model the fracture deformation<br />

due to reservior pressure change in naturally<br />

fractured reservoirs by considering the fully coupled<br />

interactions <strong>of</strong> fluid, porous matrix, and fractures.<br />

Application<br />

This method has been applied to model the fracture<br />

permeability change for a two-dimensional regular<br />

Fig. 1. Pore pressure (psi) distribution after 360 days production.<br />

fractured network (Fig. 1) in a compressible<br />

single-phase fluid-saturated porous medium. Under<br />

isotropic in-situ stress conditions, the fracture<br />

permeability decreases with the pressure reduction<br />

during production (Fig. 2). But at high anisotropic<br />

stress conditions, the fracture permeability could<br />

be enhanced by production due to shear dilation<br />

(Fig. 3).<br />

(continued on next page)<br />

Project Information<br />

3.2.10 Well Test Models for Caves in a Karstic Carbonate<br />

Reservoir<br />

Contacts<br />

Christine Ehlig-Economides<br />

979.458.0797<br />

c.economides@pe.tamu.edu<br />

Qingfeng Tao<br />

CRISMAN INSTITUTE<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

75


Fracture permeability (md)<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

Fracture intersected<br />

by the Well<br />

Fracture at the Boundary<br />

0 1000 2000 3000 4000 5000 6000 7000 8000 9000<br />

Time (hr)<br />

Fig. 2. Fracture permeability declines with time.<br />

Fig. 3. Distribution <strong>of</strong> fracture permeability and shear displacement<br />

(shown with arrows) after 360 days production for the case fractures are<br />

already yielded before production.<br />

76<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Improved Permeability Predictions using Multivariate Analysis Methods<br />

Introduction<br />

Predicting rock permeability from well logs<br />

in uncored wells is an important task in<br />

reservoir characterization. Due to the high<br />

costs <strong>of</strong> coring and laboratory analysis,<br />

typically cores are acquired in only a few<br />

wells. Since most wells are logged, the<br />

common practice is to estimate permeability<br />

from logs using correlation equations<br />

developed from limited core data. Most<br />

commonly, permeability is estimated from<br />

various well logs using statistical regression.<br />

For sandstone reservoirs, the logarithm <strong>of</strong><br />

permeability can be correlated with porosity,<br />

but in carbonate reservoirs the porositypermeability<br />

relationship tends to be much<br />

more complex and erratic.<br />

Objectives<br />

In order to improve the permeability estimation in<br />

complex carbonate reservoirs, several statistical<br />

regression techniques have been tested in previous<br />

work to correlate permeability with different well<br />

logs (Lee, Arun and Datta-Gupta, 2002; Mathisen,<br />

Lee, and Datta-Gupta, 2003). It has been shown<br />

that statistical regression for data correlation is quite<br />

promising, but using all the possible well logs to<br />

predict permeability may not be appropriate because<br />

the possibility <strong>of</strong> spurious correlation increases as<br />

more well logs are used. Therefore, the objective<br />

<strong>of</strong> this study is to further improve permeability<br />

prediction by selecting appropriate well logs for data<br />

correlation via variable selection procedures.<br />

Approach<br />

In statistics, variable selection is used to remove<br />

unnecessary independent variables and give a more<br />

robust prediction. We will apply variable selection<br />

methods to the permeability prediction procedure<br />

to improve permeability estimation. Specifically,<br />

we have proposed a new method combining the<br />

stepwise regression with Alternating Conditional<br />

Expectation (ACE) techniques and will compare the<br />

proposed method with two other methods: the tree<br />

regression and the Multivariate Adaptive Regression<br />

Splines (MARS) method.<br />

Accomplishments<br />

Three methods are tested and compared using data<br />

from a complex carbonate reservoir in west Texas:<br />

Predicted vs. Measured<br />

MSE=1.9728 MAE=1.0682 =0.68227<br />

10 -2 10 -1 10 0 10 1 10 2 10 3<br />

Measured permeability<br />

the Salt Creek Field Unit (SCFU). The results <strong>of</strong><br />

SCFU show that the stepwise regression with the<br />

ACE method outperforms the other two methods in<br />

permeability prediction. The figure shows the result<br />

<strong>of</strong> the stepwise regression with the ACE method vs.<br />

true permeability for a blind test data set.<br />

Project Information<br />

3.2.13 Improved Permeability Predictions using Multivariate<br />

Analysis Methods<br />

Related Publications<br />

Lee, S. H. and Datta-Gupta, A. 2002. Electr<strong>of</strong>acies<br />

Characterization and Permeability Predictions in Carbonate<br />

Reservoirs: Role <strong>of</strong> Multivariate Analysis and Non-parametric<br />

Regression. SPE Reservoir Evaluation and Engineering 5<br />

(3): 237-248. DOI 10.2118/78662-PA.<br />

Mathisen, T., Lee S. H., and Datta-Gupta, A. 2003.<br />

Improved Permeability Estimates in Carbonate Reservoirs<br />

Using Electr<strong>of</strong>acies Characterization: A Case Study <strong>of</strong> the<br />

North Robertson Unit, West Texas SPE Reservoir Evaluation<br />

and Engineering 6 (3): 176-184.<br />

Contacts<br />

Akhil Datta-Gupta<br />

979.847.9030<br />

a.datta-gupta@pe.tamu.edu<br />

Jiang Xie<br />

Depth<br />

6220<br />

6240<br />

6260<br />

6280<br />

6300<br />

6320<br />

6340<br />

6360<br />

6380<br />

6400<br />

6420<br />

Measured<br />

permeability<br />

Permeability vs. Depth<br />

CRISMAN INSTITUTE<br />

Predicted<br />

permeability<br />

Permeability Predictions from Well logs Using Stepwise Regression with ACE (Alternating<br />

Conditional Expectations) for the Salt Creek Field Unit, West Texas.<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

77


CO 2<br />

Mobility Control using Cross-Linked Gel and CO 2<br />

Viscosifiers<br />

Objectives<br />

1. Investigate and test different approaches in the<br />

laboratory to control CO 2<br />

mobility during CO 2<br />

flooding to increase the overall efficiency.<br />

2. Develop a simulation model which would<br />

incorporate the CO 2<br />

viscosity relationship<br />

with pressure, then use this model to predict<br />

viscosified CO 2<br />

flooding efficiency in comparison<br />

with pure CO 2<br />

flooding.<br />

Accomplishments<br />

The visualization <strong>of</strong> CO 2<br />

flow within core using CT-<br />

Scanning provides us with a more direct observation<br />

for the CO 2<br />

flood fronts in the core. We have studied<br />

two approaches to control CO 2<br />

mobility: HPAM/<br />

Cr(III) gel conformance control treatment, and the<br />

direct increase <strong>of</strong> CO 2<br />

viscosity using viscosifier<br />

chemicals (PVAc or Polysiloxanes).<br />

For the study <strong>of</strong> gel conformance control, crosslinked<br />

HPAM/Cr(III) gel was applied to fractured cores<br />

in order to get incremental oil recovery. We have<br />

tested 10,000 ppm <strong>of</strong> high concentration gel and<br />

found out it had a better stability when compared<br />

with the 3,000 ppm gel we used previously. The<br />

10,000 ppm gel appeared to be more stable and<br />

also gave a higher pressure drop in CO 2<br />

flooding,<br />

which means better mobility control.<br />

For the study <strong>of</strong> CO 2<br />

viscosifiers, a controlled CO 2<br />

flooding experiment using pure CO 2<br />

was conducted<br />

and the expected low recovery was obtained due to<br />

rapid breakthrough <strong>of</strong> CO 2<br />

through the fracture. The<br />

first low molecular weight viscosifier was studied<br />

and we observed significant differences in CO 2<br />

flood<br />

front images. A more uniform, piston-like CO 2<br />

flood<br />

front was formed in the viscosifier case, suggesting<br />

a reduction in CO 2<br />

viscosity. Higher oil recovery was<br />

also observed using viscosified CO 2<br />

.<br />

A black-oil pseudo-miscible model for an oil field in<br />

Peru was developed using data from one <strong>of</strong> the wells.<br />

To account for the increase in CO 2<br />

viscosity, new<br />

viscosity/pressure relationships were integrated into<br />

the simulation model. We are currently simulating<br />

viscosified cases to develop cost benefit relations.<br />

Future Work<br />

More viscosifier chemical structures will be studied<br />

to compare the efficiency differences between low<br />

78<br />

and high molecular weight viscosifiers. The injection<br />

scheme will be altered to reflect field sequence <strong>of</strong><br />

events: we will begin with pure CO 2<br />

until no more<br />

oil is recovered, and then we will begin injecting<br />

viscosified CO 2<br />

to determine the incremental<br />

recovery caused by viscosified CO 2<br />

after pure CO 2<br />

injection. We will also develop simulation tools<br />

capable <strong>of</strong> accounting for viscosified CO 2<br />

cases.<br />

End <strong>of</strong> Coreflood for 3000 ppm gel:<br />

End <strong>of</strong> Coreflood for 10,000 ppm gel:<br />

Gel Strength Study - (red/yellow color shows gel distribution after CO 2<br />

flooding, blue color is the sandstone matrix. The sandstone core is fractured<br />

both horizontally and vertically. CO 2<br />

injection from right to left.)<br />

Pure CO 2<br />

flood image (after 1.6 PV CO 2<br />

injected)<br />

Viscosified CO 2<br />

flood image (after 1.3 PV CO 2<br />

injected)<br />

Comparison <strong>of</strong> pure CO 2<br />

flood front and viscosified CO 2<br />

flood front. The<br />

pure CO 2<br />

flood case has most <strong>of</strong> the CO2 concentrated in the fracture<br />

region. A more stable piston-like displacement is observed in the viscosified<br />

CO 2<br />

case.<br />

Project Information<br />

3.4.4 Application <strong>of</strong> X-Ray CT for Investigating Fluid Flow<br />

and Conformance Control during CO 2<br />

Injection in Highly<br />

Heterogenous Systems<br />

Contacts<br />

David Schechter<br />

979.845.2275<br />

david.schechter@pe.tamu.edu<br />

Shuzong Cai<br />

CRISMAN INSTITUTE<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Stochastic History Matching, Forecasting, and Production with the Ensemble<br />

Kalman Filter<br />

Introduction<br />

The data assimilation process <strong>of</strong> adjusting variables<br />

in a reservoir simulation model to honor observations<br />

<strong>of</strong> field data is known as ‘history matching’ and<br />

has been extensively studied for few decades.<br />

However, despite the progress that has been made,<br />

development <strong>of</strong> more accurate and efficient history<br />

matching techniques that produce geologically<br />

realistic outcomes (reservoir models) is still one<br />

<strong>of</strong> the main challenges for reservoir engineers,<br />

mainly due to the high complexity <strong>of</strong> the problem,<br />

data scarcity, and computational demand for field<br />

applications. Because <strong>of</strong> the insufficient information<br />

about reservoir spatial property distribution,<br />

history matching <strong>of</strong> heterogeneous reservoirs is<br />

an inherently ill-posed inverse problem; that is,<br />

it is possible to obtain several reservoir models<br />

that honor observed measurements but have<br />

geologically distinct features and provide incorrect<br />

predictions. Two common approaches to deal with<br />

ill-posed history matching problems are either to<br />

constrain the structural form <strong>of</strong> acceptable solutions<br />

(regularization) or to reduce the number <strong>of</strong> unknown<br />

parameters (reparameterization). While these<br />

methods have been successfully used as effective<br />

strategies to improve the solution <strong>of</strong> ill-posed inverse<br />

problems, they may not provide accurate solutions<br />

where a simple structural assumption can be defined<br />

for features with more complex geometry.<br />

for incorporating dynamic flow measurements into<br />

multipoint pattern simulation with the Single Normal<br />

Equation SIMulation (SNESIM) algorithm.<br />

Accomplishments<br />

The generated probability map represents the main<br />

information in the nonlinear dynamic measurements<br />

and can be easily integrated into the SNESIM<br />

algorithm to simulate an updated ensemble <strong>of</strong><br />

conditional facies (Fig. 1b). We have illustrated<br />

the effectiveness <strong>of</strong> this approach through several<br />

experiments. The results <strong>of</strong> development have been<br />

summarized into a manuscript that is currently<br />

being reviewed in the Computational Geosciences<br />

Journal. Figure 1 shows a simple example from the<br />

manuscript that is undergoing review.<br />

Future Work<br />

We are currently working to advance the<br />

implementation <strong>of</strong> our approach to deal with<br />

uncertainty in the training image that is used for<br />

pattern simulation and to address some <strong>of</strong> the<br />

limitations <strong>of</strong> the EnKF-based implementation <strong>of</strong> our<br />

algorithm.<br />

(continued on next page)<br />

Objectives<br />

The ensemble Kalman filter (EnKF) has recently<br />

been introduced to reservoir engineering literature<br />

as a promising history matching technique. It is easy<br />

to implement, provides considerable flexibility for<br />

describing reservoir model uncertainty, and supplies<br />

valuable information about reservoir performance<br />

prediction uncertainty. Among the limitations <strong>of</strong> the<br />

EnKF is its covariance-based (second order) model<br />

updating scheme that restricts its application to<br />

estimate discrete geological objects that are not<br />

amenable to covariance-based descriptions. When<br />

the standard EnKF implementation is used to update<br />

facies permeability values in each grid block (Fig.<br />

1a), the connectivity between the existing features<br />

is not preserved even when facies description is<br />

parameterized to encourage continuity.<br />

In this project, by using the EnKF to generate a<br />

probability map to describe the spatial distribution <strong>of</strong><br />

facies, we are developing a more consistent approach<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

CRISMAN INSTITUTE<br />

Project Information<br />

3.6.6 Stochastic History Matching, Forecasting, and<br />

Production with the Ensemble Kalman Filter<br />

Contacts<br />

Behnam Jafarpour<br />

979.845.0666<br />

behnam.jafarpour@pe.tamu.edu<br />

Morteza Khodabakhshi<br />

79


(a) Standard EnKF for permeability estimation<br />

True Perm.<br />

(b) Prob. Map estimation with EnKF<br />

initial<br />

3 months<br />

6 months<br />

18 months<br />

36 months<br />

initial<br />

3 months<br />

6 months<br />

18 months<br />

36 months<br />

ens. mean<br />

ens. mean<br />

sample 5<br />

prob. map<br />

sample 5<br />

sample 4<br />

sample 4<br />

sample 3<br />

sample 3<br />

sample 2<br />

sample 2<br />

sample 1<br />

sample 1<br />

Fig. 1. Facies estimation from production data using the standard EnKF implementation (a), and application <strong>of</strong> EnKF<br />

to update the probability map <strong>of</strong> facies distribution (b). In (a), the First to Fifth rows show the evolution <strong>of</strong> sample<br />

permeability fields in time (after update steps) with the mean <strong>of</strong> 300 samples shown in the Sixth row. In (b), the<br />

update to the probability map is shown in the First row while the resulting permeability facies from the SNESIM algorithm<br />

are shown in the Second to Sixth rows. The last row contains the mean <strong>of</strong> the 300 sample permeabilities.<br />

80<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Sustainable Carbon Sequestration<br />

Introduction<br />

Concerns that CO 2<br />

emissions from the combustion<br />

<strong>of</strong> fossil fuel are causing global climate change have<br />

led to research that focuses on various ways in<br />

which CO 2<br />

can be captured, sequestered and stored<br />

permanently in deep saline aquifers. The majority<br />

<strong>of</strong> CO 2<br />

produced in the US comes from coal-fired<br />

power plants which account for about 50% <strong>of</strong> the<br />

electricity generation. At the rate in which CO 2<br />

is<br />

produced from a typical power plant, it will require<br />

multiple injection wells, and each well will have a<br />

finite injection well area.<br />

Objectives<br />

Bulk CO 2<br />

injection in a finite volume increases the<br />

pressure <strong>of</strong> the aquifer. To avoid breeching the<br />

aquifer seal, the injection well pressure must not<br />

exceed the formation fracture pressure. The result<br />

is a need for many wells and a prohibitively large<br />

aquifer area. Alternatively, it may be possible to<br />

avoid pressurizing the aquifer area and increase CO 2<br />

storage efficiency by producing the same volume<br />

<strong>of</strong> brine as is injected as CO 2<br />

. This transforms the<br />

problem from CO 2<br />

storage to water handling.<br />

brine displacement with and without saturated brine<br />

injection. Finally, insights gained from the conceptual<br />

modeling phase will be used to develop optimization<br />

methods for improving CO 2<br />

sweep efficiency.<br />

Significance<br />

The significance <strong>of</strong> this approach lies in its potential<br />

advantages over processes currently envisioned.<br />

Aquifer pressurization that may lead to breaching<br />

the integrity <strong>of</strong> the reservoir seal is avoided, and the<br />

CO 2<br />

storage efficiency is increased compared to bulk<br />

CO 2<br />

injection.<br />

V z<br />

This study will investigate options for CO 2<br />

storage<br />

management, including evaluating the feasibility <strong>of</strong><br />

desalinating produced brine.<br />

Approach<br />

Previous studies have addressed issues related<br />

to sequestration <strong>of</strong> CO 2<br />

in closed aquifers and the<br />

risk associated with aquifer pressurization. In this<br />

study, we will produce brine to relieve the pressure<br />

in the aquifer. First, we begin by extending known<br />

(waterflooding) conceptual models to apply to the<br />

CO 2<br />

/brine displacement process. This will help in<br />

the determination <strong>of</strong> well completion geometries,<br />

spacing, and flow rates that optimize CO 2<br />

storage<br />

efficiency. Next, we will extend the work <strong>of</strong> Anchliya,<br />

<strong>2009</strong>, such that the brine injector will inject saturated<br />

brine from the desalination process. Anchliya<br />

intended that injected brine would help curtail CO 2<br />

breakthrough while increasing CO 2<br />

trapping, as seen<br />

in Fig. 1. The conceptual models will be calibrated<br />

using rigorous numerical models. For this work,<br />

it will also be the mechanism to handle saturated<br />

brine from the desalination process.<br />

We will evaluate the economic feasibility <strong>of</strong> CO 2<br />

/<br />

Fig. 1. Conceptual case <strong>of</strong> a horizontal CO2 and a brine injector and two<br />

horizontal brine producers (Anchliya, <strong>2009</strong>).<br />

CRISMAN INSTITUTE<br />

Project Information<br />

4.1.7 Sustainable Carbon Sequestration<br />

Related Publications<br />

Anchliya, A., and Ehlig-Economides, C.A. Aquifer<br />

Management to Accelerate CO 2<br />

Dissolution and Trapping.<br />

Paper SPE 126688, presented at the <strong>2009</strong> International<br />

Conference on CO 2<br />

Capture, Storage, and Utilization, San<br />

Diego, California, 2-4 November.<br />

Contacts<br />

Christine Ehlig-Economides<br />

979.458.0797<br />

c.economides@pe.tamu.edu<br />

Oyewande Akinnikawe<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

81


Aquifer Management for CO 2<br />

Sequestration<br />

Objectives<br />

Among various possible solutions to mitigate the<br />

increasing concentration <strong>of</strong> “greenhouse gases” in<br />

the atmosphere, geological sequestration seems the<br />

most attractive and promising one. This research<br />

explores carbon dioxide sequestration in deep saline<br />

aquifers, and will study issues related to aquifer<br />

pressurization, monitoring, and risk mitigation using<br />

a numerical reservoir simulator that models the<br />

multiphase flow physics <strong>of</strong> CO 2<br />

process using the<br />

Peng-Robinson equation <strong>of</strong> state (EOS).<br />

Approach<br />

Simulations clearly indicated that bulk CO 2<br />

injection<br />

into a single well could rarely inject the volume <strong>of</strong><br />

CO 2<br />

produced by the power plant in a typical aquifer,<br />

and that multiple wells would be required. In an<br />

array <strong>of</strong> injection wells, the aquifer volume allotted<br />

to each injection well is limited by interference with<br />

other injection wells. Therefore, modeling <strong>of</strong> CO 2<br />

injection must consider a closed outer boundary,<br />

and bulk injection in a closed system will pressurize<br />

the aquifer. Simulations confirm this conclusion.<br />

An analytical model developed for this study extends<br />

a previously published one for an open aquifer to<br />

a closed aquifer. A spreadsheet model provides<br />

similar results to detailed simulation in a fraction <strong>of</strong><br />

the time, enabling systematic determination <strong>of</strong> the<br />

aquifer volume and the number <strong>of</strong> wells required to<br />

sequester the target amount <strong>of</strong> CO 2<br />

. Results indicate<br />

that, depending on the aquifer properties, the<br />

sequestration operation would require thousands <strong>of</strong><br />

square miles <strong>of</strong> aquifer area or hundreds <strong>of</strong> wells or<br />

both. In either case, the aquifer must be pressurized,<br />

and CO 2<br />

would accumulate at the top <strong>of</strong> the aquifer,<br />

leading to an unacceptable risk <strong>of</strong> leakage.<br />

Over 30 years <strong>of</strong> simulations on injection have<br />

demonstrated the value <strong>of</strong> regular pressure fall<strong>of</strong>f<br />

monitoring <strong>of</strong> CO 2<br />

injection wells. Fall<strong>of</strong>f responses<br />

provide ongoing indications <strong>of</strong> the dry zone and<br />

two-phase zone radii over time and quantification<br />

<strong>of</strong> the zone mobility values. For the case studied,<br />

these responses also provided reasonable estimates<br />

for the ongoing average aquifer pressure used<br />

for material balance analysis. In turn, analysis<br />

<strong>of</strong> average pressure over time can indicate if the<br />

behavior is that <strong>of</strong> an open or closed aquifer and an<br />

estimation <strong>of</strong> the aquifer size. Alternatively, average<br />

pressure over time can signal the presence <strong>of</strong> an leak<br />

and provide an estimation <strong>of</strong> how much fluid may<br />

be leaking from the aquifer and whether the leak is<br />

predominantly CO 2<br />

or brine. These results suggest<br />

that bulk CO 2<br />

injection is neither economically nor<br />

environmentally acceptable.<br />

To avoid pressurization and to reduce the number<br />

<strong>of</strong> wells required to sequester the CO 2<br />

, brine should<br />

be produced from the aquifer as a volume equal to<br />

that <strong>of</strong> the injected CO 2<br />

. This approach addresses<br />

the pressurization risk, but not the problem <strong>of</strong> CO 2<br />

accumulating at the top <strong>of</strong> the aquifer.<br />

Significance<br />

An engineered system is proposed to both<br />

avoid aquifer pressurization and accelerate CO 2<br />

dissolution and trapping. This system would position<br />

a horizontal brine injection well above and parallel<br />

to a horizontal CO 2<br />

injection well with the brine<br />

production wells drilled parallel to the CO 2<br />

injection<br />

well at a specified lateral spacing. Simulations show<br />

that this configuration prevents CO 2<br />

accumulation at<br />

the top <strong>of</strong> the aquifer during injection, where 90% <strong>of</strong><br />

the CO 2<br />

is permanently dissolved or trapped during<br />

injection after 50 years, including the 30 years <strong>of</strong><br />

injection. This approach would greatly reduce the<br />

risk <strong>of</strong> CO 2<br />

leakage both during and forever after<br />

injection.<br />

CRISMAN INSTITUTE<br />

Project Information<br />

4.1.8 Aquifer Management for CO 2<br />

Sequestration<br />

Related Publications<br />

Anchliya, A.: <strong>2009</strong>. Aquifer Management for CO 2<br />

Sequestration. MS thesis. Texas A&M U., College Station,<br />

Texas.<br />

Anchliya, A., Ehlig-Economides, C.A. Aquifer Management<br />

to Accelerate CO 2<br />

Dissolution and Trapping. Paper<br />

SPE 126688, presented at the <strong>2009</strong> SPE International<br />

Conference on CO 2<br />

Capture, Storage, and Utilization, San<br />

Diego, California, 2-4 November.<br />

Contacts<br />

Christine Ehlig-Economides<br />

979.458.0797<br />

c.economides@pe.tamu.edu<br />

Abhishek Anchliya<br />

82<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Pretreatment Options to Allow Re-Use <strong>of</strong> Frac Flowback and Produced Brine<br />

(Desalination Process)<br />

Objectives<br />

Our objective is to identify a reliable and cost-effective<br />

pre-treatment method which allows the treatment<br />

and re-use <strong>of</strong> field-produced brine and fracture flowback<br />

waters. The project aims to develop a mobile<br />

and multifunctional water treatment specifically for<br />

“pre-treatment” <strong>of</strong> field waste brine. The project is<br />

part <strong>of</strong> the multi-sponsor Environmentally Friendly<br />

Drilling (EFD) program.<br />

Approach<br />

This project seeks to identify, develop, and<br />

demonstrate cost-effective technologies that will<br />

achieve volume reduction <strong>of</strong> liquid wastes while<br />

simultaneously producing effluents that could be<br />

re-used in oil-field applications, thereby reducing<br />

environmental impacts <strong>of</strong> waste water disposal and<br />

cost. Some <strong>of</strong> the key contaminants in produced<br />

water are suspended and entrained solids (TSS)<br />

and membrane rejection <strong>of</strong> such solids is one <strong>of</strong> our<br />

goals.<br />

Accomplishments<br />

We tested different samples <strong>of</strong> produced water and<br />

frac flowback water from various sources using a<br />

GE Sepa osmotic cell with nano-membranes and<br />

ultra-filtration membranes. Data obtained allowed<br />

for comparison between the membrane and further<br />

testing to be carried out on the field using a<br />

combination <strong>of</strong> membranes to determine the best<br />

result/analysis <strong>of</strong> permeate obtained while at the<br />

same time matching this with cost. Table 1 shows<br />

the TSS removal effectiveness <strong>of</strong> this membrane filter<br />

at a low pressure. This solids removal is a significant<br />

step in the overall process train <strong>of</strong> removing oil,<br />

solids, hardness, and salinity.<br />

Significance<br />

A quantitative comparison <strong>of</strong> the analysis <strong>of</strong> the<br />

permeate is obtained at the end <strong>of</strong> filtration, from<br />

which an evaluation <strong>of</strong> membrane filtration as a way<br />

to remove suspended and entrained particles in frac<br />

flowback or produced water to create re-useable<br />

effluents can be determined.<br />

Sample<br />

Filter Used<br />

Designation<br />

Turbidity<br />

(NTU)<br />

TDS<br />

Calcium<br />

concentration<br />

(ppm)<br />

Chloride<br />

concentration<br />

(ppm)<br />

Advanced<br />

Hydrocarbons<br />

Produced<br />

Water<br />

Untreated 454 49.35 1501.54 42.3<br />

Advanced<br />

Hydrocarbon:<br />

Pretreated<br />

Advanced<br />

Hydrocarbon:<br />

Average<br />

Permeate<br />

Result<br />

Percent<br />

Reduction<br />

5micron<br />

cartridge<br />

JW<br />

ultrafilter<br />

201 43.4 1461.1 42.115<br />

CRISMAN INSTITUTE<br />

Pressure<br />

In (Psig)<br />

Pressure<br />

Out<br />

(Psig)<br />

26.85 44.55 1471.9 42.05 97.5 88.75<br />

86% 8% 2% 0%<br />

Table 1. Analysis <strong>of</strong> suspended solids removal from produced water<br />

sample. The pressure in and out shown above are average pressures for<br />

all rounds <strong>of</strong> permeate collection.<br />

Project Information<br />

4.2.9 Low Impact Oil & Gas Activity; Environmentally<br />

Friendly Drilling Systems<br />

Related Publications<br />

Oluwaseun, O., Burnett, D., Hann, R., and Haut, R.<br />

Application <strong>of</strong> Membrane Filtration Technologies to Drilling<br />

Wastes. Paper SPE 115587, presented at the 2008 SPE<br />

<strong>Annual</strong> Technical Conference and Exhibition, Denver,<br />

Colorado, 21-24 September.<br />

Contacts<br />

David Burnett<br />

979.845.2274<br />

david.burnett@pe.tamu.edu<br />

Gene Beck<br />

979.862.1138<br />

gene.beck@pe.tamu.edu<br />

Uche Eboagwu<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

83


Bibliography<br />

List <strong>of</strong> Theses and Dissertations<br />

<strong>2009</strong><br />

» Anchliya, Abhishek; Aquifer Management for CO2 Sequestration. MS <strong>2009</strong>, Ehlig-Economides.<br />

» Awoleke, Obadare; Analysis <strong>of</strong> Data from the Barnett Shale with Conventional Statistical and Virtual<br />

Intelligence Techniques. MS <strong>2009</strong>, Lane.<br />

» Bello, Rasheed; Rate Transient Analysis in Shale Gas Reservoirs with Transient Linear Behavior, PhD <strong>2009</strong>,<br />

Wattenbarger.<br />

» Bourne, Dwane; Assessment <strong>of</strong> API Thread Connections under Tight Gas Well Conditions, MS <strong>2009</strong>,<br />

Schubert/Teodoriu.<br />

» He, Ting; Potential for CO2 Sequestration and Enhanced Coalbed Methane Production, Blue Creek Field,<br />

NW Black Warrior Basin, Alabama. MS <strong>2009</strong>, Ayers/Barrufet.<br />

» Madhavan, Rajiv Menon; Experimental Investigation <strong>of</strong> Caustic Steam Injection for Heavy Oils, MS <strong>2009</strong>,<br />

Mamora.<br />

» Mou, Jianye; Modeling Acid Transport and Non-Uniform Etching in a Stochastic Domain in Acid Fracturing,<br />

PhD <strong>2009</strong>, Hill.<br />

» Nauduri, Anantha Sagar; Managed Pressure Drilling Candidate Selection, PhD <strong>2009</strong>, Juvkam-Wold/<br />

Schubert.<br />

» Pilisi, Nicolas; An Advisory System for Selecting Drilling Technologies and Methods in Tight Gas Reservoirs.<br />

MS <strong>2009</strong>, Holditch/Teodoriu.<br />

» Verma, Ankit; Alternate Power and Energy Storage/Reuse for Drilling Rigs: Reduced Cost and Lower<br />

Emissions Provide Lower Footprint for Drilling Operations. MS <strong>2009</strong>, Burnett.<br />

» Yang, Daegil; Heavy Oil Upgrading from Electron Beam (E-Beam) Irradiation. MS <strong>2009</strong>, Barrufet.<br />

2008<br />

» Abiazie, Joseph; Characterization and Interwell Connectivity Evaluation <strong>of</strong> Green River Reservoirs, Wells<br />

Draw Study Area, Uinta Basin, Utah, MS 2008, McVay.<br />

» Achinivu, Ochi; Field Application <strong>of</strong> an Interpretation Method <strong>of</strong> Downhole Temperature and Pressure Data<br />

for Detecting Water Entry in Horizontal/Highly Inclined Gas Wells, MS 2008, Zhu.<br />

» Amodu, Afolabi; Drilling Through Gas Hydrate Formations: Possible Problems and Suggested Solutions,<br />

MS 2008, Teodoriu.<br />

» Ayeni, Kolawole; Emperical Modeling and Simulation <strong>of</strong> Edgewater Cusping and Coning, PhD 2008,<br />

Wattenbarger.<br />

» Barnawi, Mazen; A Simulation Study to Verify Stone’s Simultaneous Water and Gas Injection Performance<br />

in a 5-Spot Pattern, MS 2008, Mamora.<br />

» Chava, Gopi; Analyzing Pressure and Temperature Data from Smart Plungers to Optimize Lift Cycles, MS<br />

2008, Falcone.<br />

» Deshpande, Vaibhav; General Screening Criteria for Shale Gas Reservoirs and Production Data Analysis <strong>of</strong><br />

Barnett Shale, MS 2008, Schechter.<br />

» Fernandez, Juan; Design <strong>of</strong> a High-Pressure Flow Loop for the Experimental Investigation <strong>of</strong> Liquid Loading<br />

in Gas Wells. MS 2008, Falcone/Teodoriu.<br />

» Flores, Cecilia; Technology and Economics Affecting Unconventional Reservoir Development, MS 2008,<br />

Holditch.<br />

» Grover, Tarun; Natural Gas Hydrates – Issues for Gas Production and Geomechanical Stability, PhD 2008,<br />

Holditch/Moridis.<br />

84<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


» Jin, Xiaoze; Gas Deliverability using the Method <strong>of</strong> Distributed Volumetric Sources, MS 2008, Valko.<br />

» Kumar, Amrendra; Effective Fracture Geometry Obtained with Large Water and Sand Ratio, MS 2008,<br />

Valko.<br />

» Liu, Chang; Continuous Reservoir Simulation Model Updating and Forecasting using a Markov Chain Monte<br />

Carlo Method, MS 2008, McVay.<br />

» Mohammad, Ahmad A. A.; Experimental Investigation <strong>of</strong> In-Situ Upgrading <strong>of</strong> Heavy Oil by Using a<br />

Hydrogen Donor and Catalyst During Steam Injection, PhD 2008, Mamora.<br />

» Okunola, Damola; Improving Long Term Production Data Analysis Using Analogs to Pressure Transient<br />

Analysis Techniques, MS 2008, Ehlig-Economides.<br />

» Old, Sara; PRISE: Petroleum Resource Investigation Summary and Evaluation, MS 2008, Holditch.<br />

» Ourir, Achraf; New Analytical Model for Steam Flood Injection in a 9-Spot Pattern, MENG Paper 2008,<br />

Mamora.<br />

» Oyeka, Chuba; Surface Wet Gas Compression Using Multiphase Pumps for Marginal Wells, MENG Paper<br />

2008, Scott.<br />

» Park, Han-Young; Decision Matrix for Liquid Loading in Gas Wells for Cost/Benefit Analyses <strong>of</strong> Lifting<br />

Options, MS 2008, Falcone.<br />

» Pournik, Maysam; Laboratory-Scale Fracture Conductivity Created by Acid Etching, PhD 2008, Hill.<br />

» Senel, Ozgur; Infill Location Determination and Assessment <strong>of</strong> Corresponding Uncertainty, MS 2008, McVay.<br />

» Siddiqui, Adil Ahmed; Towards a Characteristic Equation for Permeability, MS 2008, Blasingame.<br />

» Wang, Jianwei; Integrated Reservoir Characterization and Simulation Studies in Stripper Oil and Gas<br />

Fields, PhD 2008, Ayers/McVay.<br />

» Wang, Yilin; Simulation <strong>of</strong> Fracture Fluid Cleanup and Its Effect on Long-Term Recovery in Tight Gas<br />

Reservoirs, PhD 2008, Holditch.<br />

» Wei, Yunan; An Advisory System for the Development <strong>of</strong> Unconventional Gas Reservoirs, PhD 2008,<br />

Holditch.<br />

» Xie, Jiang; Improved Permeability Prediction using Multivariate Analysis Methods, MS 2008, Datta-Gupta.<br />

» Yalavarthi, Ramakrishna; Evaluation <strong>of</strong> Fracture Treatment Type on the Recovery <strong>of</strong> Gas from the Cotton<br />

Valley Formation, MS 2008, Holditch.<br />

2007<br />

» Abdullayev, Azer; Effects <strong>of</strong> Petroleum Distillate on Viscosity, Density, and Surface Tension <strong>of</strong> Intermediate<br />

and Heavy Crude Oils, MS 2007, Mamora.<br />

» Ajayi, Babatunde; Pressure Transient Test Analysis <strong>of</strong> Vuggy Naturally Fractured Carbonate Reservoir:<br />

Field Case Study, MS 2007, Ehlig-Economides.<br />

» Amini, Shahram; Development and Application <strong>of</strong> the Method <strong>of</strong> Distributed Volumetric Sources to the<br />

Problem <strong>of</strong> Unsteady-State Fluid Flow in Reservoirs, PhD 2007, Valko.<br />

» Azcarate Lara, Francisco; Dualmode Transportation, Impact on the Electric Grid, MS 2007, Ehlig-Economides.<br />

» Bogatchev, Kirill; Developing a Tight Gas Sand Advisor for Completion and Stimulation in Tight Gas<br />

Reservoirs Worldwide, MS 2007, Holditch.<br />

» Bose, Rana; Unloading using Auger Tool and Foam and Experimental Identification <strong>of</strong> Liquid Loading <strong>of</strong> Low<br />

Rate Natural Gas Wells, MS 2007, Scott.<br />

» Demiroren, Ayse Nazli; Inferring Interwell Connectivity from Injection and Production Data using Frequency<br />

Domain Analysis, MS 2007, Jensen.<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

85


» Florence, Francois; Validation/Enhancement <strong>of</strong> the “Jones-Owens” Technique for the Prediction <strong>of</strong><br />

Permeability in Low Permeability Gas Sands, MS 2007, Blasingame.<br />

» Huseynzade, Samir; Upgrading and Enhanced Recovery <strong>of</strong> Jobo Heavy Oil using Hydrogen Donor under<br />

In-Situ Combustion, MS 2007, Mamora.<br />

» Ibeh, Chijioke; Investigation on the Effects <strong>of</strong> Ultra-High Pressure and Temperature on the Rheological<br />

Properties <strong>of</strong> Oil-Based Drilling Fluids, MS 2007, Schubert/Teodoriu.<br />

» Jaiswal, Namit; Experimental and Analytical Studies <strong>of</strong> Hydrocarbon Yields Under Dry-, Steam-, and<br />

Steam-with-Propane Distillation, PhD 2007, Mamora.<br />

» Kamkom, Rungtip; Modeling Performance <strong>of</strong> Horizontal, Undulating, and Multilateral Wells, PhD 2007, Zhu.<br />

» Kim, Tae Hyung; Fracture Characterizations and Estimation <strong>of</strong> Fracture Porosity <strong>of</strong> Naturally Fractured<br />

Reservoirs with No Matrix Porosity using Stochastic Fractal Models, PhD 2007, Schechter.<br />

» Li, Yamin; Evaluation <strong>of</strong> Travis Peak Gas Reservoirs, West Margin <strong>of</strong> the East Texas Basin, MS 2007, Ayers.<br />

» Li, Weiqiang; Using Percolation Techniques to Estimate Interwell Connectivity Probability, MS 2007, Jensen.<br />

» Limthongchai, Pavalin; Gel Damage in Fractured Tight Gas Wells, MS 2007, Zhu.<br />

» Magalhaes, Felipe Viera; Optimization <strong>of</strong> Fractured Well Performance <strong>of</strong> Horizontal Gas Wells, MS 2007,<br />

Zhu.<br />

» Malagon Nieto, Camilo; 3D Characterization <strong>of</strong> Acidized Fracture Surfaces, MS 2007, Hill.<br />

» Marpaung, Fivman; Investigation <strong>of</strong> the Effective <strong>of</strong> Gel Residue on Hydraulic Fracture Conductivity Using<br />

Dynamic Fracture Conductivity Test, MS 2007, Hill.<br />

» Melendez Castillo, Maria Georgina; The Effects <strong>of</strong> Acid Contact Time and Rock Surfaces on Acid Fracture<br />

Conductivity, MS 2007, Zhu.<br />

» Ogueri, Obinna Stavely; Completion Methods in Thick Multilayered Tight Gas Sands, MS 2007, Holditch.<br />

» Pongthunya, Potcharaporn; Development, Setup and Testing <strong>of</strong> a Dynamic Hydraulic Fracture Conductivity<br />

Apparatus, MS 2007, Hill.<br />

» Ramaswamy, Sunil, Selection <strong>of</strong> Best Drilling, Completion and Stimulation Methods for Coalbed Methane<br />

Reservoirs, MS, 2007, Ayers.<br />

» Rivero Diaz, Jose Antonio; Experimental Studies <strong>of</strong> Steam and Steam-Propane Injection Using a Novel<br />

Smart Horizontal Producer to Enhance Oil Production in the San Ardo Field, PhD 2007, Mamora.<br />

» Salazar Vanegas, Jesus; Development <strong>of</strong> An Improved Methodology to Assess Potential Unconventional<br />

Gas Resources in North America, MS 2007, McVay.<br />

» Tosic, Slavko; Foolpro<strong>of</strong> Completions for High Rate Production Wells, MS 2007, Ehlig-Economides.<br />

» Verpeaux, Nicholas; A Simulation Study to Investigate Simultaneous Water and Gas Injection with<br />

Horizontal Wells, MENG Paper 2007, Mamora.<br />

» Viswanathan, Anup; Viscosities <strong>of</strong> Natural Gases at High Pressures and High Temperatures, MS 2007,<br />

McCain.<br />

» Yanty, Evi; The Impacts <strong>of</strong> Technology on Global Unconventional Gas Supply, PhD 2007, Lee.<br />

» Yoshioka, Keita; Detection <strong>of</strong> Water or Gas Entry into Horizontal Wells by Using Permanent Downhole<br />

Monitoring Systems, PhD 2007, Hill.<br />

» Yusuf, Nurudeen; Modeling Well Performance in Compartmentalized Gas Reservoirs, MS 2007, Wattenbarger.<br />

2006<br />

» Adegoke, Adesola Ayodeji; Utilizing the Heat Content <strong>of</strong> Gas-to-Liquids By-Product Streams for Commercial<br />

Power Generation, MS 2006, Ehlig-Economides.<br />

86<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


» Azimov, Anar E.; Comparative Analysis <strong>of</strong> Remaining Oil Saturation in Waterflood Patterns Based on<br />

Analytical Modeling and Simulation, MS 2006, Mamora.<br />

» Craig, David Paul; Analytical Modeling <strong>of</strong> a Fracture-Injection/Fall<strong>of</strong>f Sequence and the Development <strong>of</strong> a<br />

Refracture-Candidate Diagnostic Test, PhD 2006, Blasingame.<br />

» Giraud, Charlotte; Drilling Rig Energy Inventory, MENG Paper 2006, Schubert.<br />

» Gross, Matthew Edward; Discrete Fracture Modeling for Fractured Reservoirs using Voronoi Grid Blocks,<br />

MS 2006, Schechter.<br />

» Hernandez Arciniegas, Gonzalo; Simulation Assessment <strong>of</strong> CO2 Sequestration Potential and Enhanced<br />

Methane Recovery in Low-Rank Coalbeds <strong>of</strong> the Wilcox Group, East-Central Texas, MS 2006, McVay.<br />

» Jerez Vera, Sergio Armando; Using Multi-Layer Models to Forecast Gas Flow Rates in Tight Gas Reservoirs,<br />

MS 2006, Holditch.<br />

» Mago, Alonso Luis; Adequate Description <strong>of</strong> Heavy Oil Viscosities and a Method to Assess Optimal Steam<br />

Cyclic Periods for Thermal Reservoir Simulation, MS 2006, Barrufet.<br />

» Malpani, Rajgopal Vijaykumar; Selection <strong>of</strong> Fracturing Fluid for Stimulating Tight Gas Reservoirs, MS 2006,<br />

Holditch.<br />

» Martin, Matthew Daniel; Managed Pressure Drilling Techniques and Tools, MS 2006, Juvkam-Wold.<br />

» Matus, Eric; A Top-Injection Bottom-Production Cyclic Steam Stimulation Method for Enhanced Heavy Oil<br />

Recovery, MS 2006, Mamora.<br />

» Ozobeme, Charles Chinedu; Evaluation <strong>of</strong> Water Production in Tight Gas Sands in the Cotton Valley<br />

Formation in the Caspiana, Elm Grove and Frierson Fields, MS 2006, Holditch.<br />

» Ramazanova, Rahila; Sequence Stratigraphic Interpretation methods for Low-Accommodation, Alluvial<br />

Depositional Sequences: Applications to Reservoir Characterization <strong>of</strong> Cut Bank Field, Montana, PhD 2006,<br />

Ayers/Rabinowitz.<br />

» Singh, Kalwant; Basin Analog Approach Answers Characterization Challenges <strong>of</strong> Unconventional Gas<br />

Potential in Frontier Basins, MS 2006, Holditch.<br />

» Tanyel, Emre; Formation Evaluation using Wavelet Analysis on Logs <strong>of</strong> the Chinji and Nagri Formations,<br />

Northern Pakistan, MS 2006, Jensen.<br />

» Viloria Ochoa, Marilyn; Analysis <strong>of</strong> Drilling Fluid Rheology and Tool Joint Effect to Reduce Errors in Hydraulics<br />

Calculations, PhD 2006, Juvkam-Wold.<br />

» Zou, Chunlei; Development and Testing <strong>of</strong> an Advanced Acid Fracture Conductivity Apparatus, MS 2006,<br />

Zhu.<br />

2005<br />

» Al Harbi, Mishal Habis; Streamline-based Production Data Integration in Naturally Fractured Reservoirs,<br />

PhD 2005, Datta-Gupta.<br />

» Ameripour, Sharareh; Prediction <strong>of</strong> Gas-Hydrate Formation Conditions in Production and Surface Facilities,<br />

MS 2005, Barrufet.<br />

» Bolen, Matthew; A New Methodology for Analyzing and Predicting U.S. Liquefied Natural Gas Imports Using<br />

Neural Networks, MS 2005, Startzman.<br />

» Chakravarthy, Deepak; Application <strong>of</strong> X-Ray CT for Investigating Fluid Flow and Conformance Control<br />

During CO2 Injection in Highly Heterogeneous Media, MS 2005, Schechter.<br />

» Chandra, Suandy; Improved Steamflood Analytical Model, MS 2005, Mamora/Wattenbarger.<br />

» Cheng, Hao; Fast History Matching Using Streamline Derived Sensitivities for Field Scale Applications, PhD<br />

2005, Datta-Gupta.<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

87


» Diyashev, Ildar; Problems <strong>of</strong> Fluid Flow in a Deformable Reservoir, PhD 2005, Holditch.<br />

» Furrow, Brendan; Analysis <strong>of</strong> Hydrocarbon Removal Methods for the Management <strong>of</strong> Oilfield Brines and<br />

Produced Waters, MS 2005, Barrufet.<br />

» Gao, Hui; Rapid Assessment <strong>of</strong> Infill Drilling Potential Using a Simulation-Based Inversion Approach, PhD<br />

2005, McVay.<br />

» Garcia Quijada, Marylena; Optimization <strong>of</strong> a CO2 Flood Design: Wasson Field, West Texas, MS 2005,<br />

Schechter.<br />

» Gasimov, Rustam; Modification <strong>of</strong> the Dykstra-Parsons Method to Incorporate Buckley-Leverett Displacement<br />

Theory for Waterfloods, MS 2005, Mamora.<br />

» Gaviria Garcia, Ricardo; Reservoir Simulation <strong>of</strong> CO2 Sequestration and Enhanced Oil Recovery in the<br />

Tensleep Formation, Teapot Dome Field, MS 2005, Schechter.<br />

» Kulchanyavivat, Sawin; The Effective Approach for Predicting Viscosity <strong>of</strong> Saturated and Undersaturated<br />

Reservoir Oil, PhD 2005, McCain.<br />

» Liu, Jin; Investigation <strong>of</strong> Trace Amounts <strong>of</strong> Gas on Microwave Water-Cut Measurement. MS 2005, Scott.<br />

» Nogueira, Marjorie; Effect <strong>of</strong> Flue Gas Impurities on the Process <strong>of</strong> Injection and Storage <strong>of</strong> Carbon Dioxide<br />

in Depleted Gas Reservoirs, MS 2005, Mamora.<br />

» Ogele, Chile; Integration and Quantification <strong>of</strong> Uncertainty <strong>of</strong> Volumetric and Material Balance Analyses<br />

Using a Bayesian Framework, MS 2005, McVay.<br />

» Okeke, Amarachukwu; Sensitivity Analysis <strong>of</strong> Modeling Parameters that Affect the Dual Peaking Behaviour<br />

in Coalbed Methane Reservoirs, MS 2005, Wattenbarger.<br />

» Paknejad, Amir; Foam Drilling Simulator, MS 2005, Schubert.<br />

» Perez Garcia, Laura; Integration <strong>of</strong> Well Test Analysis into a Naturally Fractured Reservoir Simulation, MS<br />

2005, Schechter.<br />

» Romero Lugo, Analis A.; Temperature Behavior in the Build Section <strong>of</strong> Multilateral Wells, MS 2005, Hill.<br />

» Shahri, Mehdi Abbaszadeh; Detecting and Modeling Cement Failure in High Pressure/High Temperature<br />

Wells, using Finite-Element Method, MS 2005, Schubert.<br />

» Simangunsong, Roly; Experimental and Analytical Modeling Studies <strong>of</strong> Steam Injection with Hydrocarbon<br />

Additives to Enhance Recovery <strong>of</strong> San Ardo Heavy Oil, MS 2005, Mamora.<br />

» Tschirhart, Nicholas R.; The Evaluation <strong>of</strong> Waterfrac Technology in Low-Permeability Gas Sands in the East<br />

Texas Basin, MS 2005, Holditch.<br />

» Wang, Wenxin; Methodologies and New User Interfaces to Optimize Hydraulic Fracturing Design and<br />

Evaluate Fracturing Performance for Gas Wells, MS 2005, Valko.<br />

» Yuan, Chengwu; An Efficient Bayesian Approach to History Matching, MS 2005, Datta-Gupta.<br />

» Zhakupov, Mansur; Application <strong>of</strong> Convolution and Average Pressure Approximation for Solving Non-Linear<br />

Flow Problems. Constant Pressure Inner Boundary Condition for Gas Flow, MS 2005, Blasingame.<br />

2004<br />

» Al-Meshari, Ali; New Strategic Method to Tune Equation-<strong>of</strong>-State to Match Experimental Data for<br />

Compositional Simulation, PhD 2004, McCain.<br />

» Sandoval, Jorge; A Simulation Study <strong>of</strong> Steam and Steam-Propane Injection using a Novel Smart Horizontal<br />

Producer to Enhance Oil Production, MS 2004, Mamora.<br />

88<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


List <strong>of</strong> Articles/Papers/<strong>Report</strong>s<br />

2010<br />

» Awoleke, O.O., Lane, R.H. Analysis <strong>of</strong> Data from the Barnett Shale Using Conventional Statistical and<br />

Virtual Intelligence Techniques. SPE Paper 127919 presented at the 2010 SPE International Symposium<br />

and Exhibition on Formation Damage Control, Lafayette, Louisiana, 10–12 February.<br />

» Bello, R. and Wattenbarger, R.A. Multi-stage Hydraulically Fractured Shale Gas Rate Transient Analysis.<br />

Paper SPE 126754, presented at the 2010 SPE North Africa Technical Conference and Exhibition, Cairo,<br />

Egypt, 14–17 February.<br />

» Currie, S.M., Ilk, D., Blasingame, T.A. Continuous Estimation <strong>of</strong> Ultimate Recovery. Paper SPE 132352<br />

presented at the 2010 SPE Unconventional Gas Conference, Pittsburgh, Pennsylvania, 23-25 February.<br />

» Freeman, C.M., Ilk, D., Blasingame, T.A., and Moridis, G.J. A Numerical Study <strong>of</strong> Tight Gas/Shale Gas<br />

Reservoirs - Effects <strong>of</strong> Transport and Storage Mechanisms on Well Performance. Paper SPE 131583 to be<br />

presented at the 2010 IOGCEC International Oil & Gas Conference and Exhibition, Beijing, China, 8-10<br />

June.<br />

» Gomaa, A.M., and Nasr-El-Din, H.A. Rheological Properties <strong>of</strong> Polymer-Based In-Situ Gelled Acids:<br />

Experimental and Theoretical Studies. Paper SPE 128057 presented at the 2010 Oil and Gas India<br />

Conference and Exhibition, Mumbai, India, 20–22 January.<br />

» Li, L., Nasr-El-Din, H.A., Crews, J.B., and Cawiezel, K.E. 2010. Impact <strong>of</strong> Organic Acids/Chelating Agents<br />

on Rheological Properties <strong>of</strong> Amidoamine Oxide Surfactant. Paper SPE 128091 presented at the 2010 SPE<br />

International Symposium on Formation Damage Control, Lafayette, Louisiana, 10-12 February.<br />

» Mou, J., Zhu, D. and Hill, A.D. A New Acid-Fracture Conductivity Model Based on the Spatial Distributions<br />

<strong>of</strong> Formation Properties. Paper SPE-127935 presented at the 2010 SPE International Symposium on<br />

Formation Damage Control, Lafayette, Louisiana, 10-12 February.<br />

» Rawal C. and Ghassemi A. A 3-D Analysis <strong>of</strong> Solute Transport in a Fracture in Hot- and Poro-elastic Rock.<br />

Paper to be presented at the 2010 44th U.S. Rock Mechanics Symposium, ARMA, Salt Lake City, Utah,<br />

27-30 June.<br />

» Rawal C. and Ghassemi A. Reactive Flow in a Natural Fracture in Poro-thermoelastic Rock. Paper presented<br />

at the 2010 35th Stanford Geothermal Workshop. Stanford, California, 1-3 February.<br />

<strong>2009</strong><br />

» Anchliya, A., and Ehlig-Economides, C.A. Aquifer Management to Accelerate CO2 Dissolution and Trapping.<br />

Paper SPE 126688, presented at the <strong>2009</strong> SPE International Conference on CO2 Capture, Storage, and<br />

Utilization, San Diego, California, 2-4 November.<br />

» Bello, R., and Wattenbarger, R.A. Modeling and Analysis <strong>of</strong> Shale Gas Production with a Skin Effect. Paper<br />

CIPC <strong>2009</strong>-082, presented at the <strong>2009</strong> Canadian International Petroleum Conference, Calgary, Alberta,<br />

16–18 June.<br />

» Boulis, A., Ilk, D., and Blasingame, T.A. A New Series <strong>of</strong> Rate Decline Relations Based on the Diagnosis<br />

<strong>of</strong> Rate-Time Data. Paper CIM <strong>2009</strong>-202 presented at the <strong>2009</strong> 60th <strong>Annual</strong> Technical Meeting <strong>of</strong> the<br />

Petroleum Society, Calgary, Alberta, 16-18 June.<br />

» Davani, E., Ling, K., Teodoriu, C., McCain, W.D., Falcone, G. More Accurate Gas Viscosity Correlation for<br />

Use at HP/HT Conditions Ensures Better Reserves Estimation. Paper SPE 124734, presented at the <strong>2009</strong><br />

SPE <strong>Annual</strong> Technical Conference and Exhibition, New Orleans, Louisiana, 4-7 October.<br />

» Deng, J., Hill, A.D. and Zhu, D. A Theoretical Study <strong>of</strong> Acid Fracture Conductivity Under Closure Stress.<br />

Paper SPE-124755, presented at the <strong>2009</strong> SPE <strong>Annual</strong> Technical Conference and Exhibition, New Orleans,<br />

Louisiana, 4-7 October.<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

89


» Freeman, C.M., Ilk, D., Moridis, G.J., and Blasingame, T.A. A Numerical Study <strong>of</strong> Performance for Tight<br />

Gas and Shale Gas Reservoir Systems. Paper SPE 124961 presented at the <strong>2009</strong> SPE <strong>Annual</strong> Technical<br />

Conference and Exhibition, New Orleans, Louisiana, 4–7 October <strong>2009</strong>.<br />

» Freeman, C.M., Moridis, G.J., and Blasingame, T.A. A Numerical Study <strong>of</strong> Microscale Flow Behavior in<br />

Tight Gas and Shale Gas Reservoir Systems. Paper presented at the <strong>2009</strong> TOUGH Symposium, Berkeley,<br />

California, 14–16 September.<br />

» Gomaa, A.M., Mahmoud, M., and Nasr-El-Din, H.A. When Polymer-based Acids can be used? A Core Flood<br />

Study. Paper TPTC 13739 presented at the <strong>2009</strong> SPE International Petroleum Technology Conference,<br />

Doha, Qatar, 7–9 December.<br />

» Gomaa, A.M., Nasr-El-Din, H.A. New Insights into the Viscosity <strong>of</strong> Polymer-Based In-Situ Gelled Acids. Paper<br />

SPE 121728, presented at the <strong>2009</strong> SPE International Symposium on Oilfield Chemistry, The Woodlands,<br />

Texas, 20–22 April.<br />

» Gomaa, A.M., Nasr-El-Din, H.A. Acid Fracturing: The Effect <strong>of</strong> Formation Strength on Fracture Conductivity.<br />

Paper SPE 119623 presented at the <strong>2009</strong> SPE Hydraulic Fracturing Technology Conference, The Woodlands,<br />

Texas, 19–21 January.<br />

» Ilk, D., Rushing, J.A., and Blasingame, T.A. Decline-Curve Analysis for HP/HT Gas Wells: Theory and<br />

Applications. Paper SPE 125031 presented at the <strong>2009</strong> SPE <strong>Annual</strong> Technical Conference and Exhibition,<br />

New Orleans, Louisiana, 4–7 October.<br />

» Johnson, N.L., Currie, S.M., Ilk, D., Blasingame, T.A. A Simple Methodology for Direct Estimation <strong>of</strong> Gas-inplace<br />

and Reserves Using Rate-Time Data. Paper SPE 123298 presented at the <strong>2009</strong> SPE Rocky Mountain<br />

Technology Conference, Denver, Colorado, 14-16 April.<br />

» Li, L., Nasr-El-Din, H.A., and Cawiezel, K.E. <strong>2009</strong>. Rheological Properties <strong>of</strong> a New Class <strong>of</strong> Viscoelastic<br />

Surfactant. Paper SPE 121716 presented at the <strong>2009</strong> SPE International Symposium on Oilfield Chemistry,<br />

The Woodlands, Texas, 20-22 April.<br />

» Li, W., Jensen, J.L., Ayers, W.B., Hubbard, S.M., and Heidari, M.R. <strong>2009</strong>, Comparison <strong>of</strong> Interwell Connectivity<br />

Predictions using Percolation, Geometrical, and Monte Carlo Models. Journal <strong>of</strong> Petroleum Science and<br />

Engineering. (<strong>2009</strong>) 180-186.<br />

» Li, Z. and Zhu, D. Predicting Flow Pr<strong>of</strong>ile <strong>of</strong> Horizontal Well by Downhole Pressure and DTS Data for<br />

Water-Drive Reservoir. Paper SPE 124873, presented at the <strong>2009</strong> SPE <strong>Annual</strong> Technical Conference and<br />

Exhibition, New Orleans, Louisiana, 4-7 October. DOI: 10.2118/124873-MS.<br />

» Ling, K., Teodoriu, C., Davani, E., Falcone, G. Measurement <strong>of</strong> Gas Viscosity at High Pressures and High<br />

Temperatures. Poster 13528, presented at the <strong>2009</strong> International Petroleum Technology Conference,<br />

Doha, Qatar, 7-9 December.<br />

» Liu, C., and McVay, D.A. Continuous Reservoir Simulation Model Updating and Forecasting Using a Markov<br />

Chain Monte Carlo Method. Paper SPE 119197, presented at the <strong>2009</strong> SPE Reservoir Simulation Symposium,<br />

The Woodlands, Texas, 2-4 February.<br />

» Mou, J., Zhu, D. and Hill, A.D. Acid-Etched Channels in Heterogeneous Carbonates—A Newly Discovered<br />

Mechanism for Creating Acid Fracture Conductivity. Paper SPE-119619 presented at the <strong>2009</strong> SPE Hydraulic<br />

Fracturing Technology Conference, The Woodlands, Texas, 19-21 January.<br />

» Nauduri, S., Medley, G.H., and Schubert, J.J. MPD: Beyond Narrow Pressure Windows. IADC/SPE Paper<br />

Number 122276-PP, presented at the <strong>2009</strong> IADC/SPE, Managed Pressure Drilling and Underbalanced<br />

Operations Conference and Exhibition, San Antonio, Texas, 12-13 February.<br />

» Park, H.Y., Falcone, G., Teodoriu, C. <strong>2009</strong>. Decision Matrix for Liquid Loading in Gas Wells for Cost/Benefit<br />

Analyses <strong>of</strong> Lifting Options. Journal <strong>of</strong> Natural Gas Science and Engineering 1 (3): 72-83.<br />

» Rawal C. and Ghassemi A. A 3-D Thermoelastic Analysis <strong>of</strong> Reactive Flow in a Natural Fracture. Paper<br />

90<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


presented at the 43rd U.S. Rock Mechanics Symposium, <strong>2009</strong>, Asheville, North Carolina, 28 June-1 July.<br />

» Surendra, M., Falcone, G., Teodoriu, C. <strong>2009</strong>. Investigation <strong>of</strong> Swirl Flows Applied to the Oil and Gas<br />

Industry. SPE Projects, Facilities & Construction Journal 4 (1): 1-6.<br />

» Tian, Y. and Ayers, W. Regional Stratigraphic and Sedimentary Facies Analyses, Barnett Shale, Fort<br />

Worth Basin, Texas. Paper 0919 presented at the <strong>2009</strong> International Coalbed and Shale Gas Symposium,<br />

Tuscaloosa, Alabama, 18-22 May.<br />

» Wang, Y., Holditch, S.A., and McVay, D.A. Modeling Fracture Fluid Cleanup in Tight Gas Wells. Paper SPE<br />

119624, presented at the <strong>2009</strong> SPE Hydraulic Fracturing Technology Conference held in Woodlands, Texas,<br />

19-21 January.<br />

» Wei, Y., Holditch, S.A. Computing Estimated Values <strong>of</strong> Optimal Fracture Half Length in the Tight Gas Sand<br />

Advisor Program. Paper SPE 119374 (<strong>2009</strong>).<br />

» Xue, W., Ghassemi, A. Poroelastic Analysis <strong>of</strong> Hydraulic Fracture Propagation. Paper 129, presented at the<br />

Asheville Rocks <strong>2009</strong>, 43rd US Rock Mechanics Symposium, Asheville, North Carolina, 28 June–1 July.<br />

» Yang, D., Kim J., Silva, P., Barrufet, M., Moreira, R., and Sosa, J. Laboratory Investigation <strong>of</strong> E-Beam Heavy<br />

Oil Upgrading. Paper SPE 121911, presented at the <strong>2009</strong> SPE Latin American and Caribbean Petroleum<br />

Engineering Conference, Cartagena, Columbia, 31 May-3 June.<br />

» Yu, M. and Nasr-El-Din, H. Quantitative Analysis <strong>of</strong> an Amphoteric Surfactant in Acidizing Fluids and<br />

Coreflood Effluent. Paper SPE 121715 presented at the <strong>2009</strong> SPE Symposium on Oilfield Chemistry,<br />

Woodlands, Texas, 20-22 April.<br />

» Zhang, Y., Marongiu-Porcu, M., Ehlig-Economides, C.A., Tosic, S., and Economides, M.J. Comprehensive<br />

Model for Flow Behavior <strong>of</strong> High-Performance Fracture Completions. Paper SPE 124431, presented at the<br />

ATCE <strong>2009</strong> SPE <strong>Annual</strong> Technical Conference and Exhibition, New Orleans, Louisiana, 4-7 October.<br />

2008<br />

» Bello, R.O. and Wattenbarger, R.A. Rate Transient Analysis in Naturally Fractured Reservoirs. Paper SPE<br />

114591 presented at the 2008 CIPC/SPE Gas Technology Symposium, Calgary, Canada, 16-19 June.<br />

» Catalin Teodoriu, Schubert, J., Vivek G., Ibeh C. Investigations to Determine the Drilling Fluid Rheology<br />

Using Constant Shear Rate Conditions. Presented at the 2008 IADC World Drilling Conference & Exhibition,<br />

Berlin, Germany, 11-12-June.<br />

» Chava, G., Falcone, G., and Teodoriu, C. Development <strong>of</strong> a New Plunger-Lift Model Using Smart Plunger (*)<br />

Data. Paper SPE 115934 presented at the 2008 SPE <strong>Annual</strong> Technical Conference and Exhibition, Denver,<br />

Colorado, 24-26 September.<br />

» Grover, T., Moridis, G., and Holditch, S.A. Analysis <strong>of</strong> Reservoir Performance <strong>of</strong> the Messoyahka Gas Hydrate<br />

Reservoir. Proceedings <strong>of</strong> the 2008 SPE ATCE, Denver, Colorado, 21-24 September.<br />

» Haut, R.C., Burnett, D. B., Rogers, J. L., Williams, T. E. Determining Environmental Trade<strong>of</strong>fs Associated<br />

with Low Impact Drilling Systems. Paper SPE 114592, presented at the 2008 <strong>Annual</strong> Technical Conference<br />

and Exhibit, Denver, Colorado, 21-24 September.<br />

» Ibeh, C, Schubert, J.J., Teodoriu, C. Methodology for Testing Drilling Fluids under Extreme HP/HT Conditions.<br />

Paper No. AADE-08-DF-HO-14, presented at the 2008 AADE Fluids Technical Conference and Exhibit,<br />

Houston, Texas, 8-9 April.<br />

» Ibeh, C., Schubert, J., Teodoriu, C., Gusler, W., and Harvey, F. Investigation on the Effects <strong>of</strong> Ultra-High<br />

Pressure and Temperature on the Rheological Properties <strong>of</strong> Oil-based Drilling Fluids. Paper No. AADE-08-<br />

DF-HO-13, Presented at the 2008 AADE Fluids Technical Conference and Exhibit, held in Houston, Texas,<br />

8-9 April.<br />

» Mohammad, A. A. and Mamora, D. D. In Situ Upgrading <strong>of</strong> Heavy Oil Under Steam Injection with Tetralin<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

91


and Catalyst. Paper presented at the 2008 International Thermal Operations and Heavy Oil Symposiums,<br />

Calgary, Alberta, 20-23 October.<br />

» Oluwaseun, O., Burnett, D., Hann, R. and Haut, R. HARC.Application <strong>of</strong> Membrane Filtration Technologies<br />

to Drilling Wastes. SPE 115587.<br />

» Rutqvist, J., Moridis, G., Grover, T., and Holditch, S. Coupled Hydrological, Thermal and Geomechanical<br />

Analysis <strong>of</strong> Wellbore Stability in Hydrate-Bearing Sediments. Paper OTC-19572 presented at the 2008<br />

Offshore Technology Conference held in Houston, Texas, 4-8 May.<br />

» Surendra, M., Falcone, G., Teodoriu, C. Investigation <strong>of</strong> Swirl Flows Applied to the Oil and Gas Industry.<br />

Paper SPE 115938 presented at the 2008 SPE <strong>Annual</strong> Technical Conference and Exhibition held in Denver,<br />

Colorado, USA, 21–24 September.<br />

» Verma, A., Burnett, D. Alternate Power and Energy Storage/Reuse for Drilling Rigs: Reduced Cost and<br />

Lower Emissions Provide Lower Footprint for Drilling Operations. SPE 122885<br />

» Wang,T., Holditch, S. A., McVay, D. Simulation <strong>of</strong> Gel Damage on Fracture Fluid Cleanup and Long-term<br />

Recovery in Tight Gas Reservoirs. Paper SPE 117444, presented at the 2008 SPE Eastern Regional/AAPG<br />

Eastern Section Joint Meeting held in Pittsburgh, Pennsylvania, 11-15 October.<br />

» Yu, O.-Y., Guikema, S. D., Bickel, J. E., Briaud, J.-L. and Burnett, D. Systems Approach and Quantitative<br />

Decision Tools for Technology Selection in Environmentally Friendly Drilling. SPE 120848.<br />

2007<br />

» Badicioiu, M., Teodoriu, C. Sealing Capacity <strong>of</strong> API Connections - Theoretical and Experimental Results.<br />

Paper SPE 106849 presented at the 2007 SPE Productions and Operations Symposium, Oklahoma City,<br />

Oklahoma, 31 March-3 April.<br />

» Chandra, S. and Mamora, D. D. Improved Steamflood Analytical Model. SPE 97870 accepted for publication<br />

in SPE Reservoir Evaluation & Engineering (December 2007).<br />

» Cheng, Y. Lee, J., and McVay, D. Improving Reserve Estimates from Decline Curve Analysis <strong>of</strong> Tight and<br />

Multilayer Gas Wells. Paper SPE 108176, presented at the 2007 SPE Hydrocarbon Economics and Evaluation<br />

Symposium, Dallas, Texas, 1-3 April.<br />

» Haghshenas, A., Schubert, J., Paknejad, A., and Rehm, B. Pressure Transient Lag Time Analysis During<br />

Aerated Mud Drilling. Paper presented at the 2007 AADE National Technical Conference & Exhibition held<br />

in Houston, Texas, 10-12 April.<br />

» Holditch, S., Hill, A. D., and Zhu, D. Advanced Hydraulic Fracturing Technology for Unconventional Tight<br />

Gas Reservoirs. Final research report to DOE DE-FC26-06NT42817, August, 2007.<br />

» Holmes, J.C., McVay, D.A. and Senel, O. A System for Continuous Reservoir Simulation Model Updating<br />

and Forecasting. Paper SPE 107566, presented at the 2007 SPE Digital Energy Conference and Exhibition,<br />

Houston, Texas, 11-12 April.<br />

» Jaiswal, N. and Mamora, D.D. Distillation Effects in Heavy Oil Recovery under Steam Injection with<br />

Hydrocarbon Additives. Paper SPE 110712, presented at 2007 SPE <strong>Annual</strong> Technical Conference and<br />

Exhibition, Anaheim, California, 11-14 November.<br />

» Kamkom, R., Zhu, D., Bond, A. Predicting Undulating Well Performance. Paper SPE 109761, presented<br />

at the 2007 SPE <strong>Annual</strong> Technical Conference and Exhibition held in Anaheim, California, U.S.A., 11–14<br />

November 2007.<br />

» Magalhaes, F., Zhu, D., Amini, S., and Valko, P. Optimization <strong>of</strong> Fractured Well Performance <strong>of</strong> Horizontal<br />

Gas Wells. Paper SPE 108779, presented at the 2007 International Oil Conference and Exhibition in Mexico<br />

held in Veracruz, Mexico, 27–30 June 2007.<br />

» Melendez, M.G., Pournik, M., Zhu, D., and Hill, A. D. The Effects <strong>of</strong> Acid Contact Time and the Resulting<br />

92<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>


Weakening <strong>of</strong> the Rock Surfaces on Acid Fracture Conductivity. Paper SPE 107772, presented at 7th SPE<br />

European Formation Damage Conference in Scheveningen, The Netherlands, 2007, 30 May - 1 June.<br />

» Morlot, C. and Mamora, D. D. TINBOP Cyclic Steam Injection Enhances Oil Recovery in Mature Steamfloods.<br />

Paper CIPC 2007-158, presented at proceedings CIPC 58th Ann. Tech. Mtg., Calgary, 2007, 12-14 June.<br />

» Mou, J., Hill, A.D., and Zhu, D. The Velocity Field and Pressure Drop Behavior in a Rough-Walled Fracture.<br />

Paper SPE 105182 presented at the 2007 SPE Hydraulic Fracturing Technology Conference, College Station,<br />

Texas, 29–31 January.<br />

» Paknejad, A., Amani, M., and Schubert, J. Foam Drilling Simulator. Paper SPE 105338, presented at the<br />

2007 Latin American & Caribbean Petroleum Engineering Conference held in The Buenos Aires, Argentina,<br />

15-18 April.<br />

» Paknejad, A., Schubert, J., Amani, M., and Teodoriu, C. Sensitivity Analysis <strong>of</strong> Key Parameters in Foam<br />

Drilling Operations. SPE 150 Years <strong>of</strong> the Romanian Petroleum Industry, held in Bucharest, Romania, 14-<br />

17 October, 2007.<br />

» Paknejad, A., Schubert, J., and Haghshenas, A. A New and Simplified Method for Determination <strong>of</strong><br />

Conductor/Surface Casing Setting Depths in Shallow Marine Sediments (SMS). Paper presented at the<br />

2007 AADE National Technical Conference & Exhibition held in Houston, TX., 10-12 April.<br />

» Paknejad, A., Schubert, J., and Amani, M. A New Method to Evaluate Leak-Off Tests in Shallow Marine<br />

Sediments. Paper SPE 110953 presented at the 2007 SPE Technical Symposium held in Dhahran, Saudi<br />

Arabia, 7-8 May.<br />

» Pournik, M., Zuo, C., Malagon Nieto, C., Melendez, M., Zhu, D., Hill, A. D. and Weng, X. Small-Scale<br />

Fracture Conductivity Created by Modern Acid Fracture Fluids. Paper presented at 2007 Hydraulic Fracturing<br />

Technology Conference, in College Station, TX, SPE 106272, 29-31 January.<br />

» Rivero, J.A., and Mamora, D.D. Oil Production Gains for Mature Steamflooded Oil Fields Using Propane as<br />

a Steam Additive and a Novel Smart Horizontal Producer. Paper SPE 110538, presented 2007 SPE-ATCE,<br />

Anaheim, California, 11-14 November.<br />

» Teodoriu, C., Falcone, G., Espinel, A. Letting Off Steam and Getting Into Hot Water – Harnessing the<br />

Geothermal Energy Potential <strong>of</strong> Heavy Oil Reservoirs. Paper presented at the 20th World Energy Congress<br />

- Rome 2007, Rome, Italy, 11-15 November.<br />

» Valko, P.P., and Amini, S. Method <strong>of</strong> Distributed Volumetric Sources for Calculating the Transient and<br />

Pseudosteady-State Productivity <strong>of</strong> Complex Well-Fracture Configurations. Paper SPE 106279 presented at<br />

the 2007 SPE Hydraulic Fracturing Technology Conference, College Station, 29-31 January.<br />

» Yoshioka, K., Dawkrajai, P., Romero, A., Zhu, D., Hill, A. D., and Lake, L. W. A Comprehensive Statistically-<br />

Based Method To Interpret Real-Time Flowing Well Measurements. Final research report to DOE DE-FC26-<br />

03NT15402, January, 2007.<br />

» Yoshioka, K., Zhu, D., and Hill, A. D. A New Inversion Method to Interpret Flow Pr<strong>of</strong>iles from Distributed<br />

Temperature and Pressure Measurements in Horizontal Wells. Paper SPE 109749, presented at the 2007<br />

SPE <strong>Annual</strong> Technical Conference and Exhibition held in Anaheim, California, U.S.A., 11–14 November.<br />

» Zhu, D., Magalhaes, F., and Valko, P. Predicting the Productivity <strong>of</strong> Multiple-Fractured Horizontal Gas Wells.<br />

Paper SPE 106280, presented at 2007 Hydraulic Fracturing Technology Conference, in College Station,<br />

Texas, 29-31 January.<br />

2006<br />

» Bond, A., Zhu, D., and Kamkom, R. The Effect <strong>of</strong> Well Trajectory on Horizontal Well Performance. Paper<br />

SPE 104183, presented at the 2006 International Oil Conference and Exhibition in Beijing, China, 5-7<br />

December.<br />

» Izgec, B., Kabir, C.S., Zhu, D. and Hasan, A.R. Transient Fluid and Heat Flow Modeling in Coupled Wellbore/<br />

Reservoir Systems. Paper SPE 102070, presented at the 2006 SPE <strong>Annual</strong> Technical Conference and<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong><br />

93


Exhibition, San Antonio, Texas, 24-27 September.<br />

» Kamkom, R. and Zhu, D. Generalized Horizontal Well Inflow Relationships for Liquid, Gas or Two-Phase<br />

Flow. Paper SPE 99712 presented at the 2006 SPE/DOE Symposium on Improved Oil Recovery held in<br />

Tulsa, Oklahoma, 22–26 April.<br />

» Malagon Nieto, M., Pournik, M., and Hill, A. D. The Texture <strong>of</strong> Acidized Fracture Surfaces – Implications for<br />

Acid Fracture Conductivity. Paper SPE 102167, presented at 2006 SPE <strong>Annual</strong> Technical Conference and<br />

Exhibition, San Antonio, Texas, 24-27 September.<br />

» Simangunsong, R., Jaiswal, N. and Mamora, D.D. Improved Analytical Model and Experimentally Calibrated<br />

Studies <strong>of</strong> Steam Injection with Hydrocarbon Additives to Enhance Heavy Oil Recovery. Paper SPE 100703,<br />

presented at 2006 SPE <strong>Annual</strong> Technical Conference and Exhibition, San Antonio, 24-27 September.<br />

» Yoshioka, K., Zhu, D., Hill, A. D., Dawkrajai, P., and Lake, L. W. Detection <strong>of</strong> Water or Gas Entries in<br />

Horizontal Wells from Temperature Pr<strong>of</strong>iles. Paper SPE 100209, presented at the 2006 SPE Europec/EAGE<br />

<strong>Annual</strong> Conference and Exhibition held in Vienna, Austria, 12-15 June.<br />

» Zhu, D. and Furui, K. Optimizing Oil and Gas Production by Intelligent Technology. Paper SPE 102104,<br />

presented at 2006 SPE <strong>Annual</strong> Technical Conference and Exhibition, San Antonio, Texas, 24-27 September.<br />

2005<br />

» Mamora, D. and Sandoval, J. Investigation <strong>of</strong> a Smart Steamflood Pattern to Enhance Production from<br />

San Ardo Field, California. Paper SPE 95491, presented at the 2005 SPE <strong>Annual</strong> Technical Conference and<br />

Exhibition, Dallas, Texas, 9-12 October.<br />

» Yoshioka, K., Zhu, D., Hill, A. D., and Lake, L. W. Interpretation <strong>of</strong> Temperature and Pressure Pr<strong>of</strong>iles<br />

Measured in Multilateral Wells Equipped with Intelligent Completions. Paper SPE 94097, presented at the<br />

2005 14th Europec Piennial Conference, Madrid, Spain, 13-16 June.<br />

» Yoshioka, K., Zhu, D., Hill, A. D., Dawkrajai, P., and Lake, L. W. A Comprehensive Model <strong>of</strong> Temperature<br />

Behavior in a Horizontal Well. Paper SPE 95656, presented at the 2005 SPE <strong>Annual</strong> Technical Conference<br />

and Exhibition, Dallas, Texas, 9-12 October.<br />

94<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!