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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 icon:RDD Numerical Simulation of Three-Hydrocarbon-Phase Flow with Robust Phase Identification
Z. Xu, R. Okuno, University of Alberta
0900-0930 173322 icon:RDD 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 icon:RDD A Multi-stage Linear Solution Method for Implicit Compositional Simulation
Q. Wang, Z. Gu, G. Fleming, Halliburton
1100-1130 173296 icon:RDD 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 icon:RDD 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 icon:RDD A Massively Parallel Coupled Reservoir and Surface Facilities Simulator
G.R. Bowen, T.R. Miller, B. Zineddin, Ridgeway Kite Software
0900-0930 173259 icon:RDD 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 icon:RDD Status of System-AMG for Reservoir Simulation Applications
S. Gries, H. Plum, Fraunhofer Institute SCAI
1030-1100 173246 icon:RDD 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 icon:RDD 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 icon:RDD GPU Acceleration for Geomechanical Simulations
P. Woodhams, T. Jonsthovel, D. Walsh, A. Pearce, D. Preisser, Schlumberger Information Solutions
Alternate 173281 icon:RDD 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 icon:RDD 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 icon:RDD Closed-loop Field Development Optimization under Uncertainty
M. Gharib Shirangi, L.J. Durlofsky, Stanford University
1430-1500 173216 icon:PO 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 icon:RDD 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 icon:RDD 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 icon:RDD Physics-Based and Data-Driven Surrogates for Production Forecasting
H.M. Klie, ConocoPhillips Co
1700-1730 173238 icon:RDD 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 icon:RDD 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 icon:RDD 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 icon:RDD 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 icon:RDD Upscaling for Compositional Reservoir Simulation
H. Li, L.J. Durlofsky, Stanford University
1600-1630 173200 icon:RDD 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 icon:RDD 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 icon:RDD 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 icon:RDD 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 icon:RDD Novel Diffuse Source Pressure Transient Upscaling
K.C. Nunna, P. Zhou, M.J. King, Texas A&M University