Albert C. Reynolds
Albert C. Reynolds
Professor of Petroleum Engineering and Mathematics, U. of Tulsa
Verified email at utulsa.edu
TitleCited byYear
REYNOLDS, Numerical Analysis
R Burden, JD Faire, AC Reynolds
Prindle, Weber and Schmidt, 1978
771*1978
Inverse theory for petroleum reservoir characterization and history matching
DS Oliver, AC Reynolds, N Liu
Cambridge University Press, 2008
6592008
The ensemble Kalman filter in reservoir engineering--a review
SI Aanonsen, G Nævdal, DS Oliver, AC Reynolds, B Vallès
Spe Journal 14 (03), 393-412, 2009
5952009
Boundary conditions for the numerical solution of wave propagation problems
AC Reynolds
Geophysics 43 (6), 1099-1110, 1978
3971978
Results of the Brugge benchmark study for flooding optimization and history matching
L Peters, R Arts, G Brouwer, C Geel, S Cullick, RJ Lorentzen, Y Chen, ...
SPE Reservoir Evaluation & Engineering 13 (03), 391-405, 2010
2782010
Markov chain Monte Carlo methods for conditioning a permeability field to pressure data
DS Oliver, LB Cunha, AC Reynolds
Mathematical Geology 29 (1), 61-91, 1997
2711997
Ensemble smoother with multiple data assimilation
AA Emerick, AC Reynolds
Computers & Geosciences 55, 3-15, 2013
2412013
History matching of three-phase flow production data
R Li, AC Reynolds, DS Oliver
SPE reservoir simulation symposium, 2001
2302001
Conditioning permeability fields to pressure data
DS Oliver, N He, AC Reynolds
ECMOR V-5th European Conference on the Mathematics of Oil Recovery, 1996
2281996
Production optimization in closed-loop reservoir management
C Wang, G Li, AC Reynolds
SPE journal 14 (03), 506-523, 2009
1972009
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
1741983
Quantifying uncertainty for the PUNQ-S3 problem in a Bayesian setting with RML and EnKF
G Gao, M Zafari, AC Reynolds
SPE reservoir simulation symposium, 2005
1732005
Assessing the uncertainty in reservoir description and performance predictions with the ensemble Kalman filter
M Zafari, AC Reynolds
SPE Annual Technical Conference and Exhibition, 2005
1672005
Conditioning geostatistical models to two-phase production data
Z Wu, AC Reynolds, DS Oliver
SPE Annual Technical Conference and Exhibition, 1998
1661998
An improved implementation of the LBFGS algorithm for automatic history matching
G Gao, AC Reynolds
SPE Annual Technical Conference and Exhibition, 2004
1552004
An Iterative Ensemble Kalman Filter for Data Assimlaton
G Li, AC Reynolds
SPE Journal, 2009
1512009
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
1411996
Estimation of depths of fluid contacts by history matching using iterative ensemble-Kalman smoothers
Y Wang, G Li, AC Reynolds
SPE Journal 15 (02), 509-525, 2010
132*2010
Computation of sensitivity coefficients for conditioning the permeability field to well-test pressure data
L Chu, AC Reynolds, DS Oliver
In Situ 19 (2), 179-223, 1995
1141995
E48: Optimization algorithms for automatic history matching of production data
F Zhang, AC Reynolds
Proceedings of the 8th European Conference on the Mathematics of Oil Recovery, 2002
1122002
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