Jef Caers
Jef Caers
Stanford University, Professor of Geological Sciences
Verified email at - Homepage
Cited by
Cited by
Multiple-point geostatistics: a quantitative vehicle for integrating geologic analogs into multiple reservoir models
J Caers, T Zhang
AAPG Special Volumes, 2004
Modeling Uncertainty in the Earth Sciences
J Caers
Modeling Uncertainty in the Earth Sciences, 2011
Multiple-Point Geostatistics: Stochastic Modeling with Training Images
G Mariethoz, J Caers
John Wiley & Sons, Ltd, 2015
Stochastic simulation of patterns using distance-based pattern modeling
M Honarkhah, J Caers
Mathematical Geosciences 42 (5), 487-517, 2010
Petroleum geostatistics
J Caers
Society of Petroleum Engineers, 2005
Conditional simulation with patterns
GB Arpat, J Caers
Mathematical Geology 39 (2), 177-203, 2007
Representing spatial uncertainty using distances and kernels
C Scheidt, J Caers
Mathematical Geosciences 41 (4), 397, 2009
Geostatistical history matching under training-image based geological model constraints
J Caers
SPE Annual Technical Conference and Exhibition, 2002
The probability perturbation method: a new look at Bayesian inverse modeling
J Caers, T Hoffman
Mathematical geology 38 (1), 81-100, 2006
Geostatistical reservoir modelling using statistical pattern recognition
J Caers
Journal of Petroleum Science and Engineering 29 (3-4), 177-188, 2001
Uncertainty quantification in reservoir performance using distances and kernel methods--application to a west africa deepwater turbidite reservoir
C Scheidt, J Caers
SPE Journal 14 (04), 680-692, 2009
Modeling of a deepwater turbidite reservoir conditional to seismic data using multiple-point geostatistics
S Strebelle, K Payrazyan, J Caers
SPE Annual Technical Conference and Exhibition, 2002
Quantifying geological uncertainty for flow and transport modeling in multi-modal heterogeneous formations
L Feyen, J Caers
Advances in Water Resources 29 (6), 912-929, 2006
Dynamic data integration for structural modeling: model screening approach using a distance-based model parameterization
S Suzuki, G Caumon, J Caers
Computational Geosciences 12 (1), 105-119, 2008
Bayesian inverse problem and optimization with iterative spatial resampling
G Mariethoz, P Renard, J Caers
Water Resources Research 46 (11), 2010
Combining geologic‐process models and geostatistics for conditional simulation of 3‐D subsurface heterogeneity
HA Michael, H Li, A Boucher, T Sun, J Caers, SM Gorelick
Water Resources Research 46 (5), 2010
Identifying discrete geologic structures that produce anomalous hydraulic response: An inverse modeling approach
MJ Ronayne, SM Gorelick, J Caers
Water Resources Research 44 (8), 2008
A distance-based prior model parameterization for constraining solutions of spatial inverse problems
S Suzuki, J Caers
Mathematical geosciences 40 (4), 445-469, 2008
Regional probability perturbations for history matching
BT Hoffman, J Caers
Journal of Petroleum Science and Engineering 46 (1-2), 53-71, 2005
Stress–strain characteristics of tin-based solder alloys for drop-impact modeling
EH Wong, CS Selvanayagam, SKW Seah, WD Van Driel, J Caers, ...
Journal of Electronic Materials 37 (6), 829-836, 2008
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