Jef Caers
Jef Caers
Stanford University, Professor of Geological Sciences
Adresse e-mail validée de - Page d'accueil
Citée par
Citée par
Multiple-Point Geostatistics: Stochastic Modeling with Training Images
G Mariethoz, J Caers
John Wiley & Sons, Ltd, 2015
Modeling Uncertainty in the Earth Sciences
J Caers
Modeling Uncertainty in the Earth Sciences, 2011
Multiple-point geostatistics: a quantitative vehicle for integrating geologic analogs into multiple reservoir models
J Caers, T Zhang
AAPG Special Volumes, 2004
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), 397-419, 2009
History matching under training-image-based geological model constraints
J Caers
SPE journal 8 (03), 218-226, 2003
The probability perturbation method: a new look at Bayesian inverse modeling
J Caers, T Hoffman
Mathematical geology 38 (1), 81-100, 2006
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
Geostatistical reservoir modelling using statistical pattern recognition
J Caers
Journal of Petroleum Science and Engineering 29 (3-4), 177-188, 2001
Modeling of a deepwater turbidite reservoir conditional to seismic data using principal component analysis and multiple-point geostatistics
S Strebelle, K Payrazyan, J Caers
Spe Journal 8 (03), 227-235, 2003
Geological realism in hydrogeological and geophysical inverse modeling: A review
N Linde, P Renard, T Mukerji, J Caers
Advances in Water Resources 86, 86-101, 2015
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
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
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
Quantifying uncertainty in subsurface systems
C Scheidt, L Li, J Caers
Wiley, June 2018, American Geophysical Union, 2018
History matching and uncertainty quantification of facies models with multiple geological interpretations
H Park, C Scheidt, D Fenwick, A Boucher, J Caers
Computational Geosciences 17 (4), 609-621, 2013
Simulation of Earth textures by conditional image quilting
K Mahmud, G Mariethoz, J Caers, P Tahmasebi, A Baker
Water Resources Research 50 (4), 3088-3107, 2014
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20