Jef Caers

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Celine ScheidtSanford UniversityVerified email at stanford.edu
Gregoire MariethozUniversity of Lausanne, Faculty of Geosciences and Environment, Institute of Earth Surface DynamicsVerified email at unil.ch
B. Todd HoffmanProfessor, Montana TechVerified email at mtech.edu
Sebastien StrebelleHalliburtonVerified email at halliburton.com
Frédéric NguyenProfessor of Applied Geophysics, Liège UniversityVerified email at ulg.ac.be
Philippe RenardUniversité de NeuchâtelVerified email at unine.ch
Kwangwon ParkSchlumbergerVerified email at slb.com
Guillaume CaumonENSG Professor in Geomodeling, Univ LorraineVerified email at univ-lorraine.fr
Orhun AydinESRIVerified email at jh.edu
Sanjay SrinivasanUT AustinVerified email at mail.utexas.edu
Antoine BertoncelloTotalVerified email at total.com
H. A. TchelepiProfessor of Energy Resources Engineering, Stanford UniversityVerified email at stanford.edu
Bruno LevyDirecteur de Recherche INRIAVerified email at inria.fr
Maria KlepikovaUniversity of Rennes 1Verified email at univ-rennes1.fr
Michael RonayneColorado State UniversityVerified email at colostate.edu
Anthony KovscekEnergy Resources Engineering, Stanford UniversityVerified email at stanford.edu
Niklas LindeProfessor of Environmental Geophysics, Institute of Earth Sciences, University of LausanneVerified email at unil.ch
Cheolkyun JeongArtificial Intelligence Engineer, SchlumbergerVerified email at slb.com
Louis DurlofskyProfessor of Energy Resources Engineering, Stanford UniversityVerified email at stanford.edu
Alain DassarguesHydrogeology and Geological Environmental Engineering, University of LiegeVerified email at uliege.be

Jef Caers

Stanford University, Professor of Geological Sciences

Verified email at stanford.edu - Homepage

geostatistics inverse problems uncertainty quantification geology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Multiple-Point Geostatistics: Stochastic Modeling with Training Images G Mariethoz, J Caers John Wiley & Sons, Ltd, 2015	464	2015
Modeling Uncertainty in the Earth Sciences J Caers Modeling Uncertainty in the Earth Sciences, 2011	413	2011
Multiple-point geostatistics: a quantitative vehicle for integrating geologic analogs into multiple reservoir models J Caers, T Zhang AAPG Special Volumes, 2004	390	2004
Stochastic simulation of patterns using distance-based pattern modeling M Honarkhah, J Caers Mathematical Geosciences 42 (5), 487-517, 2010	349	2010
Petroleum geostatistics J Caers Society of Petroleum Engineers, 2005	332	2005
Conditional simulation with patterns GB Arpat, J Caers Mathematical Geology 39 (2), 177-203, 2007	320	2007
Representing spatial uncertainty using distances and kernels C Scheidt, J Caers Mathematical Geosciences 41 (4), 397-419, 2009	291	2009
History matching under training-image-based geological model constraints J Caers SPE journal 8 (03), 218-226, 2003	249	2003
The probability perturbation method: a new look at Bayesian inverse modeling J Caers, T Hoffman Mathematical geology 38 (1), 81-100, 2006	193	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	187	2009
Geostatistical reservoir modelling using statistical pattern recognition J Caers Journal of Petroleum Science and Engineering 29 (3-4), 177-188, 2001	186	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	153	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	151	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	139	2006
Bayesian inverse problem and optimization with iterative spatial resampling G Mariethoz, P Renard, J Caers Water Resources Research 46 (11), 2010	137	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	132	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	131	2008
Quantifying uncertainty in subsurface systems C Scheidt, L Li, J Caers Wiley, June 2018, American Geophysical Union, 2018	125	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	110	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	103	2014

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