Town Center South
Session Chairpersons: Craig Cipolla, Hess; Kent Perry, RPSEA; Javad Paktinat, Anadarko Petroleum
This session focuses on the latest technology for optimizing well completions in unconventional resource systems. Topics include a Marcellus shale case study, a 'time-delayed' fracturing concept, design optimization for shallow shale reservoirs, and modeling of created fractures in a shale oil play. Both horizontal and vertical well completions will be discussed.
0800 |
Keynote |
George King • Apache Corporation, Changing the Rules in Physics-of-Flow: A View of What Will It Take to Drive Significant Recovery of In-Place Oil From Liquid-Rich Shales and Tight Oil Reservoirs |
0830 |
164524 |
Controlled Hydraulic Fracturing of Naturally Fractured Shales. A Case Study in the Marcellus Shale: Examining How To Identify and Exploit Natural Fractures • J. Ciezobka, I.A. Salehi, Gas Technology Institute |
0900 |
164526 |
Application of Stress Shadow Effect in Completion Optimization Using a Reservoir-Centric Stimulation Design Tool • K.T. Kanneganti, D. Grant, D. Oussoltsev, Schlumberger; N. Ball, R.M. Offenberger, Pioneer Natural Resources |
Break |
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1030 |
164534 |
Time Dependent Fracture Interference Effects in Pad Wells • R. Manchanda, M.M. Sharma, University of Texas; S. Holzhauser, Shell |
1100 |
164547 |
Evaluation of Well Performance for the Slot-Drill Completion in Low and Ultra-Low Permeability Oil and Gas Reservoirs • T.O. Odunowo, DeGolyer and MacNaughton/Texas A&M University; G. Moridis, Lawrence Berkeley National Laboratory/Texas A&M University; T. Blasingame, Texas A&M University; O. Olorode, Afren Resources/Texas A&M University; C. Freeman, Texas A&M University |
1130 |
164537 |
Modeling Vertical Multifractured Wells in Vaca Muerta Shale Oil Play, Argentina • L.J. Monti, M. Suarez, A.R. Thompson, YPF SA; L. Vega, W.D. Von Gonten |
Knowledge Sharing ePosters |
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164535 |
Innovative Friction Reducer Provides Improved Performance and Greater Flexibility in Recycling Highly Mineralized Produced Brines • M.L. Ferguson, Nalco; C. Anderson, Cudd; P. Eichelberger, Nalco; J.K. Hallock, Cudd; X. Qiu, R.L. Roell, Shell |
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164527 |
How Much Can You Extend the Reach of Coiled Tubing in Horizontal Wells Using Pressure-Hammer/Pulsing Tools • B. Guo, Y. Feng, University of Louisiana; J. Li, China University of Petroleum Beijing |
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Town Center South
Session Chairpersons: Christopher Clarkson, University of Calgary; Thomas Juranek, ExxonMobil; Dwayne Purvis, The Strickland Group; John Thompson, Fekete
Formation evaluation in unconventional reservoirs requires measurements and interpretations from pore-scale to multi-well scale in order to provide a complete assessment of reservoir quality. This session covers the latest advances in pore-scale and adsorption analysis at the microscale, as well as microseismic and well-completion analysis at the macroscale.
1330 |
Keynote |
Erdal Ozkan • Colorado School of Mines |
1400 |
164554 |
NMR T2 Distributions in the Eagle Ford Shale: Reflections on Pore Size • E. Rylander, T. Jiang, P. Singer, R. Lewis, B. Dean, Schlumberger; S. Sinclair, Matador Resources |
1430 |
164552 |
A Pore-Scale Study Describing the Dynamics of Slickwater Distribution in Shale Gas Formations Following Hydraulic Fracturing • Y. Hu, D. Devegowda, A. Striolo, T.A. Ho, A. Phan, F. Civan, University of Oklahoma; R.F. Sigal, Consultant |
Break |
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1600 |
164540 |
Relationship Between Organic Shale Microstructure and Hydrocarbon Generation • M.E. Curtis, C.H. Sondergeld, C.S. Rai, University of Oklahoma |
1630 |
164531 |
Understanding Unconventionals by Multidisciplinary Integration A Microseismic-Based Tale of the Haynesville Shale • A.K. Gangopadhyay, A.M. Malayalam, J. Lucas, T. Gillham, S. Liu, I. Faz, F. Wirnkar, BP |
1700 |
164532 |
Modeling of Supercritical Fluid Adsorption on Organic-Rich Shales • C.R. Clarkson, B. Haghshenas, University of Calgary |
Knowledge Sharing ePosters |
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164551 |
Geomechanical Considerations in Seismicity Based-Reservoir Characterization • M. Hosseini, University of Texas; M. Tarrahi, Texas A&M University |
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164542 |
Forecasting Well Performance in a Discontinuous Tight Oil Reservoir Using Artificial Neural Networks • Y. Bansal, T. Ertekin, Z. Karpyn, L.F. Ayala, A. Nejad, Pennsylvania State University; F. Suleen, O. Balogun, D. Liebmann, Q. Sun, Chevron |
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