Hector Klie
Hector Klie
CEO at DeepCast.ai, Adjunct Professor at CAAM, Rice University
Verified email at rice.edu - Homepage
Cited by
Cited by
On optimization algorithms for the reservoir oil well placement problem
W Bangerth, H Klie, MF Wheeler, PL Stoffa, MK Sen
Computational Geosciences 10 (3), 303-319, 2006
A parallel, implicit, cell‐centered method for two‐phase flow with a preconditioned Newton–Krylov solver
CN Dawson, H Klíe, MF Wheeler, CS Woodward
Computational Geosciences 1 (3), 215-249, 1997
Algebraic multigrid methods (AMG) for the efficient solution of fully implicit formulations in reservoir simulation
K Stüben, T Clees, H Klie, B Lu, MF Wheeler
SPE Reservoir Simulation Symposium, 2007
Stochastic collocation and mixed finite elements for flow in porous media
B Ganis, H Klie, MF Wheeler, T Wildey, I Yotov, D Zhang
Computer methods in applied mechanics and engineering 197 (43-44), 3547-3559, 2008
A new acoustic wave equation for modeling in anisotropic media
H Klíe, W Toro
SEG Technical Program Expanded Abstracts 2001, 1171-1174, 2001
An autonomic reservoir framework for the stochastic optimization of well placement
W Bangerth, H Klie, V Matossian, M Parashar, MF Wheeler
Cluster Computing 8 (4), 255-269, 2005
Exploiting capabilities of many core platforms in reservoir simulation
HM Klie, HH Sudan, R Li, Y Saad
SPE Reservoir Simulation Symposium, 2011
Studies of robust two stage preconditioners for the solution of fully implicit multiphase flow problems
TM Al-Shaalan, HM Klie, AH Dogru, MF Wheeler
SPE Reservoir Simulation Symposium, 2009
Solving sparse linear systems on NVIDIA Tesla GPUs
M Wang, H Klie, M Parashar, H Sudan
International Conference on Computational Science, 864-873, 2009
Towards a rigorously justified algebraic preconditioner for high-contrast diffusion problems
B Aksoylu, IG Graham, H Klie, R Scheichl
Computing and Visualization in Science 11 (4-6), 319-331, 2008
A time-stepping scheme for coupled reservoir flow and geomechanics
X Gai, S Sun, MF Wheeler, H Klie
SPE Annual Technical Conference and Exhibition, 2005
Krylov-secant methods for solving large-scale systems of coupled nonlinear parabolic equations
HM Klie
Towards dynamic data-driven management of the ruby gulch waste repository
M Parashar, V Matossian, H Klie, SG Thomas, MF Wheeler, T Kurc, J Saltz, ...
International Conference on Computational Science, 384-392, 2006
Application of grid-enabled technologies for solving optimization problems in data-driven reservoir studies
M Parashar, H Klie, U Catalyurek, T Kurc, W Bangerth, V Matossian, ...
Future Generation Computer Systems 21 (1), 19-26, 2005
Models, methods and middleware for grid-enabled multiphysics oil reservoir management
H Klie, W Bangerth, X Gai, MF Wheeler, PL Stoffa, M Sen, M Parashar, ...
Engineering with Computers 22 (3-4), 349-370, 2006
Unlocking fast reservoir predictions via nonintrusive reduced-order models
H Klie
SPE Reservoir Simulation Symposium, 2013
Deflation AMG solvers for highly ill-conditioned reservoir simulation problems
H Klie, MF Wheeler, K Stueben, T Clees
SPE Reservoir Simulation Symposium, 2007
Physics-based and data-driven surrogates for production forecasting
H Klie
SPE Reservoir Simulation Symposium, 2015
Reduced-order modeling for thermal recovery processes
MAH Rousset, CK Huang, H Klie, LJ Durlofsky
Computational Geosciences 18 (3), 401-415, 2014
Two-stage preconditions for inexact Newton methods in multi-phase reservoir simulation
H Klie, M Rame, M Wheeler
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