Albert C. Reynolds
Albert C. Reynolds
Professor of Petroleum Engineering and Mathematics, U. of Tulsa
Verified email at
Cited by
Cited by
REYNOLDS, Numerical Analysis
R Burden, JD Faire, AC Reynolds
Prindle, Weber and Schmidt, 1978
Inverse theory for petroleum reservoir characterization and history matching
DS Oliver, AC Reynolds, N Liu
Inverse Theory for Petroleum Reservoir Characterization and History Matching, 2008
The ensemble Kalman filter in reservoir engineering—a review
SI Aanonsen, G Nœvdal, DS Oliver, AC Reynolds, B Vallès
Spe Journal 14 (03), 393-412, 2009
Ensemble smoother with multiple data assimilation
AA Emerick, AC Reynolds
Computers & Geosciences 55, 3-15, 2013
Boundary conditions for the numerical solution of wave propagation problems
AC Reynolds
Geophysics 43 (6), 1099-1110, 1978
Results of the Brugge benchmark study for flooding optimization and history matching
E Peters, RJ Arts, GK Brouwer, CR Geel, S Cullick, RJ Lorentzen, Y Chen, ...
SPE Reservoir Evaluation & Engineering 13 (03), 391-405, 2010
Markov chain Monte Carlo methods for conditioning a permeability field to pressure data
DS Oliver, LB Cunha, AC Reynolds
Mathematical geology 29, 61-91, 1997
History matching of three-phase flow production data
R Li, AC Reynolds, DS Oliver
SPE Journal 8 (04), 328-340, 2003
Production optimization in closed-loop reservoir management
C Wang, G Li, AC Reynolds
SPE journal 14 (03), 506-523, 2009
Conditioning permeability fields to pressure data
DS Oliver, N He, AC Reynolds
ECMOR V-5th European conference on the mathematics of oil recovery, cp-101-00023, 1996
History matching time-lapse seismic data using the ensemble Kalman filter with multiple data assimilations
AA Emerick, AC Reynolds
Computational Geosciences 16, 639-659, 2012
New pressure transient analysis methods for naturally fractured reservoirs
K Serra, AC Reynolds, R Raghavan
J. Pet. Technol.;(United States) 35 (12), 2,271 - 2,283, 1983
Assessing the uncertainty in reservoir description and performance predictions with the ensemble Kalman filter
M Zafari, AC Reynolds
SPE Annual Technical Conference and Exhibition?, SPE-95750-MS, 2005
Quantifying uncertainty for the PUNQ-S3 problem in a Bayesian setting with RML and EnKF
G Gao, M Zafari, AC Reynolds
SPE Reservoir Simulation Conference?, SPE-93324-MS, 2005
An Iterative Ensemble Kalman Filter for Data Assimlaton
G Li, AC Reynolds
SPE Journal, 2009
An improved implementation of the LBFGS algorithm for automatic history matching
G Gao, AC Reynolds
SPE Journal 11 (01), 5-17, 2006
Conditioning geostatistical models to two-phase production data
Z Wu, AC Reynolds, DS Oliver
SPE journal 4 (02), 142-155, 1999
Reparameterization techniques for generating reservoir descriptions conditioned to variograms and well-test pressure data
AC Reynolds, N He, L Chu, DS Oliver
SPE Journal 1 (04), 413-426, 1996
A stochastic simplex approximate gradient (StoSAG) for optimization under uncertainty
RRM Fonseca, B Chen, JD Jansen, A Reynolds
International Journal for Numerical Methods in Engineering 109 (13), 1756-1776, 2017
Investigation of the sampling performance of ensemble-based methods with a simple reservoir model
AA Emerick, AC Reynolds
Computational Geosciences 17, 325-350, 2013
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