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<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 />

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» 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 />

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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 />

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» 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 />

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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 />

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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 />

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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 />

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