Louis Durlofsky
Louis Durlofsky
Professor of Energy Science and Engineering, Stanford University
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Zitiert von
Zitiert von
An efficient discrete fracture model applicable for general purpose reservoir simulators
M Karimi-Fard, LJ Durlofsky, K Aziz
SPE JOURNAL 9 (2), 227-236, 2004
Numerical calculation of equivalent grid block permeability tensors for heterogeneous porous media
LJ Durlofsky
Water Resources Research 27 (5), 699-708, 1991
Dynamic simulation of hydrodynamically interacting particles
L Durlofsky, JF Brady, G Bossis
Journal of fluid mechanics 180, 21-49, 1987
Optimization of nonconventional well type, location, and trajectory
B Yeten, LJ Durlofsky, K Aziz
SPE Journal 8 (3), 200-210, 2003
Application of a particle swarm optimization algorithm for determining optimum well location and type
JE Onwunalu, LJ Durlofsky
Computational Geosciences 14, 183-198, 2010
A coupled local–global upscaling approach for simulating flow in highly heterogeneous formations
Y Chen, LJ Durlofsky, M Gerritsen, XH Wen
Advances in water resources 26 (10), 1041-1060, 2003
Analysis of the Brinkman equation as a model for flow in porous media
L Durlofsky, JF Brady
Physics of Fluids 30 (11), 3329, 1987
Efficient real-time reservoir management using adjoint-based optimal control and model updating
P Sarma, LJ Durlofsky, K Aziz, WH Chen
Computational Geosciences 10, 3-36, 2006
Experimental study of two and three phase flows in large diameter inclined pipes
G Oddie, H Shi, LJ Durlofsky, K Aziz, B Pfeffer, JA Holmes
International journal of multiphase flow 29 (4), 527-558, 2003
Drift-flux modeling of two-phase flow in wellbores
H Shi, JA Holmes, LJ Durlofsky, K Aziz, LR Diaz, B Alkaya, G Oddie
Spe Journal 10 (01), 24-33, 2005
Upscaling and gridding of fine scale geological models for flow simulation
LJ Durlofsky
8th International forum on reservoir simulation Iles Borromees, Stresa …, 2005
Modeling fluid flow in oil reservoirs
MG Gerritsen, LJ Durlofsky
Annu. Rev. Fluid Mech. 37, 211-238, 2005
Kernel principal component analysis for efficient, differentiable parameterization of multipoint geostatistics
P Sarma, LJ Durlofsky, K Aziz
Mathematical Geosciences 40, 3-32, 2008
Implementation of adjoint solution for optimal control of smart wells
P Sarma, K Aziz, LJ Durlofsky
SPE Reservoir Simulation Conference?, SPE-92864-MS, 2005
A triangle based mixed finite element—finite volume technique for modeling two phase flow through porous media
LJ Durlofsky
Journal of Computational physics 105 (2), 252-266, 1993
Accuracy of mixed and control volume finite element approximations to Darcy velocity and related quantities
LJ Durlofsky
Water Resources Research 30 (4), 965-973, 1994
A nonuniform coarsening approach for the scale-up of displacement processes in heterogeneous porous media
LJ Durlofsky, RC Jones, WJ Milliken
Advances in Water Resources 20 (5-6), 335-347, 1997
Development and application of reduced‐order modeling procedures for subsurface flow simulation
MA Cardoso, LJ Durlofsky, P Sarma
International journal for numerical methods in engineering 77 (9), 1322-1350, 2009
Adaptive local–global upscaling for general flow scenarios in heterogeneous formations
Y Chen, LJ Durlofsky
Transport in porous Media 62, 157-185, 2006
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems
M Tang, Y Liu, LJ Durlofsky
Journal of Computational Physics 413, 109456, 2020
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