Technical Program

Tuesday, 24 February

0830-1200

Legends I-III Ballroom

05 Compositional Simulation

Session Chairpersons:

Jeroen C. Vink, Shell International E&P Co.; Bret Beckner, ExxonMobil Upstream Research Co.

This session addresses computation of phase equilibrium for compositional simulations with three or more phases. New phase identification and equilibrium algorithms are presented and compared. In addition, methodologies for solving large-scale compositional systems and modeling compositional processes at the field scale will be discussed.

Time	Paper #	Presentation
0830-0900	173202	Numerical Simulation of Three-Hydrocarbon-Phase Flow with Robust Phase Identification Z. Xu, R. Okuno, University of Alberta
0900-0930	173322	A Four-Phase Flow Model to Simulate Chemical EOR With Gas M. Lotfollahi, A. Varavei, M. Delshad, University of Texas At Austin; R. Farajzadeh, Shell Global Solutions International BV; G.A. Pope, University of Texas At Austin
0930-1000		Invited Presenter - "Efficient Compositional Simulation Using Locally Lumped EOS Characterization", Graham Fleming, Halliburton
1030-1100	173199	A Multi-stage Linear Solution Method for Implicit Compositional Simulation Q. Wang, Z. Gu, G. Fleming, Halliburton
1100-1130	173296	Three-Dimensional Coarse-Scale Simulation of Enhanced Oil Recovery Processes in Highly Heterogeneous Reservoirs M. Evazi, California Resources Corporation; K. Jessen, University of Southern California
1130-1200	173221	Consistent Extrapolation of Black and Volatile Oil Fluid Properties Above Original Saturation Pressure for Tight and Conventional Reservoirs B. Nojabaei, R.T. Johns, Pennsylvania State University

Tuesday, 24 February

0830-1200

Founders II-IV Ballroom

06 High Performance Computing

Session Chairpersons:

Gareth Shaw, Schlumberger; Mary Wheeler, University of Texas At Austin

Recent advances in computer hardware have motivated new strategies for reservoir simulation and led to a revival of some older ideas. The talks in this session describe a variety of algorithms and implementations that have been specifically designed to take advantage of modern parallel computing architectures. The applications range from solvers to geomechanics, unconventional workflows, and surface couplings.

Time	Paper #	Presentation
0830-0900	173276	A Massively Parallel Coupled Reservoir and Surface Facilities Simulator G.R. Bowen, T.R. Miller, B. Zineddin, Ridgeway Kite Software
0900-0930	173259	Parallel Multiscale Linear Solver for Highly Detailed Reservoir Models A.M. Manea, Stanford University; J. Sewall, Intel Corporation; H.A. Tchelepi, Stanford University
0930-1000	173241	Status of System-AMG for Reservoir Simulation Applications S. Gries, H. Plum, Fraunhofer Institute SCAI
1030-1100	173246	Accelerating Tight Reservoir Workflows with GPUs K. Mukundakrishnan, K. Esler, D. Dembeck, V. Natoli, J. Shumway, Y. Zhang, Stone Ridge Technology; J.R. Gilman, H. Meng, iReservoir.com, Inc.
1100-1130	173223	Will GPGPUs be Finally a Credible Solution for Industrial Reservoir Simulators? A. Anciaux-Sedrakian, IFP Energies Nouvelles; J. Eaton, NVIDIA; J. Gratien, T. Guignon, P. Have, C. Preux, O. Ricois, IFP Energies Nouvelles
1130-1200	173244	GPU Acceleration for Geomechanical Simulations P. Woodhams, T. Jonsthovel, D. Walsh, A. Pearce, D. Preisser, Schlumberger Information Solutions
Alternate	173281	A Dynamic Mesh Approach for Simulation of Immiscible Viscous Fingering P. Mostaghimi, F. Kamali, The University of New South Wales; M.D. Jackson, A.H. Muggeridge, C.C. Pain, Imperial College
Alternate	173280	Massively Distributed Simulation and Optimization on Commercial Compute Clouds P. Sarma, J. Owens, W.H. Chen, X. Wen, B. Velusamy, Chevron Corporation

Tuesday, 24 February

1400-1730

Legends I-III Ballroom

07 Reliable Forecasting and Reservoir Management

Session Chairpersons:

Long X. Nghiem, Computer Modelling Group; Bo Lu, BP

This session investigates methodologies for using simulation to positively impact reservoir management. Talks describe comprehensive physical-based and data-driven workflows for making probabilistic forecasts and optimal decisions. In addition, specific strategies will be presented for analyzing model sensitivities and quantifying differences between models.

Time	Paper #	Presentation
1400-1430	173219	Closed-loop Field Development Optimization under Uncertainty M. Gharib Shirangi, L.J. Durlofsky, Stanford University
1430-1500	173216	Multiobjective Optimization for Maximizing Expectation and Minimizing Uncertainty or Risk with Application to Optimal Well Control X. Liu, A.C. Reynolds, University of Tulsa
1500-1530	173254	Identification of “Big Hitters” with Global Sensitivity Analysis for Improved Decision Making Under Uncertainty P. Sarma, W.H. Chen, X. Wen, J. Xie, Chevron Corporation
1600-1630	173213	INSIM: A Data-Driven Model for History Matching and Prediction for Waterflooding Monitoring and Management with a Field Application H. Zhao, Yangtze University; Z. Kang, China Petroleum and Chemical Corporation; X. Zhang, CNOOC Research Center; H. Sun, L. Cao, Yangtze University; A.C. Reynolds, University of Tulsa
1630-1700	173206	Physics-Based and Data-Driven Surrogates for Production Forecasting H.M. Klie, ConocoPhillips Co
1700-1730	173238	Spatial-Temporal Tensor Decompositions for Characterizing Control-Relevant Flow Profiles in Reservoir Models E. Insuasty, P. Van den Hof, S. Weiland, Eindhoven University of Technology; J. Jansen, Delft University of Technology
Alternate	173285	Model and Economic Uncertainties in Balancing Short-Term and Long-Term Objectives in Water-Flooding Optimization M. Siraj, P. Van den Hof, Eindhoven University of Technology; J. Jansen, Delft University of Technology

Tuesday, 24 February

1400-1730

Founders II-IV Ballroom

08 Upscaling and Multiscale Methods

Session Chairpersons:

Didier-Yu Ding, IFP Energies Nouvelles; William J. Milliken, Chevron ETC

Upscaling and multiscale methods play a fundamental role in describing and solving for flow and transport in heterogeneous reservoirs. A few talks in this session focus on nonlinear effects in compositional upscaling and multiphase simulations while others describe new unstructured, algebraic approaches for the pressure equation.

Time	Paper #	Presentation
1400-1430	173277	Accurate Coarse-Scale AMG-Based Reservoir Simulations in Highly Heterogeneous Media A.T. Barker, Lawrence Livermore National Laboratory; D.Z. Kalchev, University of Colorado; I.D. Mishev, ExxonMobil Upstream Research Co.; P.S. Vassilevski, Lawrence Livermore National Laboratory; Y. Yang, ExxonMobil Upstream Research Co.
1430-1500	173265	A Multiscale Method Based on Restriction-Smoothed Basis Functions Suitable for General Grids in High Contrast Media O. Moyner, Sintef Applied Mathematics; K. Lie, SINTEF
1500-1530	173212	Upscaling for Compositional Reservoir Simulation H. Li, L.J. Durlofsky, Stanford University
1600-1630	173200	Algebraic Multiscale Solver for Flow in Heterogeneous Fractured Porous Media M. Tene, Delft University of Technology; M. Al Kobaisi, Petroleum Institute; H. Hajibeygi, Delft University of Technology
1630-1700	173257	Multilevel Techniques Lead to Accurate Numerical Upscaling and Scalable Robust Solvers for Reservoir Simulation M. Christensen, Technical University of Denmark; U. Villa, P. Vassilevski, Lawrence Livermore National Laboratory
1700-1730	173226	A Real-Field Multiscale Black-Oil Reservoir Simulator A. Kozlova, Z. Li, J.R. Natvig, S. Watanabe, Schlumberger; Y. Zhou, Chevron ETC; K. Bratvedt, Schlumberger; S.H. Lee, Chevron ETC
Alternate	173242	An Effective Two-stage Quasiglobal Multiphase Scale-up Technique for Laminated Clastic Reservoirs G. Xue, Shell Oil Co.; F.O. Alpak, Shell International E&P Co.
Alternate	173293	Novel Diffuse Source Pressure Transient Upscaling K.C. Nunna, P. Zhou, M.J. King, Texas A&M University

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