0830–1200

Plenary Session

Session Chairpersons: Mary Wheeler, University of Texas at Austin; Jan Dirk Jansen, Delft University of Technology

This session contains presentations of high general interest from different topics. The papers present new research results within optimization, history matching, discretization, gridding, nonlinear solvers and parallel computing. The practical implication for reservoir simulation is also highlighted.

0830–0900

163638

Estimation of Mutual Information and Conditional Entropy for Surveillance Optimization
D.H. Le, A.C. Reynolds, University of Tulsa

0900–0930

163600

Trust-Region Newton Solver for Multiphase Flow and Transport in Heterogeneous Porous Media
X. Wang, H. Tchelepi, Stanford University

0930–1000

163581

Errors in the Upstream Mobility Scheme for Counter-Current Two-Phase Flow
T.S. Mykkeltvedt, University of Bergen; I. Aavatsmark, Centre for Integrated Petroleum Research; S. Tveit, University of Bergen

1030–1100

163675

History-Matching Production and Seismic Data in a Real Field Case Using the Ensemble Smoother With Multiple Data Assimilation
A.A. Emerick, Petrobras; A.C. Reynolds, The University of Tulsa

1100–1130

163633

Reservoir Modeling for Flow Simulation Using Surfaces, Adaptive Unstructured Meshes, and Control-Volume-Finite-Element Methods
M.D. Jackson, J.L. Gomes, P. Mostaghimi, J.R. Percival, Imperial College; B.S. Tollitt, AMEC; D. Pavlidis, C.C. Pain, Imperial College; A.H. El-Sheikh, University of Texas at Austin; A.H. Muggeridge, M.J. Blunt, Imperial College

1130–1200

163591

Multiparadigm Parallel Acceleration for Reservoir Simulation
L.S. Fung, M.O. Sindi, Saudi Aramco

1330–1700

History Matching and Optimization I

Session Chairpersons: Lou Durlofsky, Stanford University; Don Zhang, Peking University

Several papers in this session focus on structural history matching and uncertainty quantification. Other papers discuss numerical and mathematical difficulties in the optimization methods for history matching.

1330–1400

163586

Adjoint-Based History Matching of Structural Models Using Production and Time-Lapse Seismic Data
S. Kahrobaei, Delft University of Technology; G. van Essen, J. Van Doren, Shell; P. Van den Hof, Delft University of Technology and Eindhoven University of Technology; J. Jansen, Delft University of Technology

1400–1430

163606

Structural Uncertainty Quantification With Immersed Interface Methods
M. Ahmadi, M.A. Christie, Heriot-Watt University; M.G. Gerritsen, Stanford University

1430–1500

163623

Handling Conflicting Multiple Objectives Using Pareto-Based Evolutionary Algorithm for History Matching of Reservoir Performance
H. Park, A. Datta-Gupta, , M.J. King, Texas A&M University

1530–1600

163613

An Optimization Algorithm Based on Combining Finite-Difference Approximations and Stochastic Gradients
X. Yan, China University of Petroleum; A.C. Reynolds, University of Tulsa

1600–1630

163604

Preventing Ensemble Collapse and Honoring Multipoint Geostatistics With the Subspace Kernel EnKF
P. Sarma, W.H. Chen, Chevron

1630–1700

163635

4D Seismic History Matching with Ensemble Kalman Filter – Assimilation on Hausdorff Distance to Saturation Front
A. Abadpour, P. Bergey, R. Piasecki, Total

Upscaling and Multiscale Methods

Session Chairpersons: Bradley Mallison, Chevron ETC; Ilya Mishev, ExxonMobil

This session deals with model reduction based on upscaling and multiscale methods. Some papers focus on nonlinear effects in compositional and multiphase simulation while other papers focus on solvers for the pressure equation. Structured and unstructured grids are considered.

1330–1400

163664

Compositional Multiscale Finite-Volume Formulation
H. Hajibeygi, H. Tchelepi, Stanford University

1400–1430

163649

The Multiscale Finite Volume Method on Unstructured Grids
O. Moyner, K. Lie, SINTEF

1430–1500

163618

Nonlinear Complexity Reduction for Fast Simulation of Flow in Heterogeneous Porous Media
E. Gildin, H. Shamshiri, A. Romanovskay, M. Ghasemi, Texas A&M University

1530–1600

163576

Thermodynamically Consistent Transport Coefficients for Upscaling of Compositional Processes
A. Salehi, D. Voskov, H. Tchelepi, Stanford University

1600–1630

163655

Multiphase Upscaling Using Global Flow Solutions
Y. Yang, ExxonMobil; X. Wang, Stanford University; X. Wu, L. Bi, ExxonMobil

1630–1700

163590

Numerical Modeling of a Low-Permeability, Highly Compactible Waterflooded Reservoir
N. Akhimiona, Devon Energy; P.W.M. Corbett, S. Geiger, Heriot Watt University