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
Guillaume CaumonENSG Professor in Numerical Geology, Univ Lorraine and IUFVerified email at univ-lorraine.fr
Kwangwon ParkSchlumbergerVerified email at slb.com
Ognjen GrujicHead of ML @ Zanskar Geothermal and Minerals, Former Data Scientist @ Square, formerly a Postdoc andVerified email at zanskar.us
Orhun AydinSaint Louis UniversityVerified email at slu.edu
Sanjay SrinivasanUT AustinVerified email at mail.utexas.edu
Maria KlepikovaUniversity of Rennes 1Verified email at univ-rennes1.fr
Antoine BertoncelloTotalEnergiesVerified email at totalenergies.com
Hamdi TchelepiProfessor of Energy Science and Engineering, Stanford UniversityVerified email at stanford.edu
Niklas LindeProfessor of Environmental Geophysics, Institute of Earth Sciences, University of LausanneVerified email at unil.ch
Bruno LevyDirecteur de Recherche INRIAVerified email at inria.fr
Anthony R. KovscekEnergy Science & Engineering, Stanford UniversityVerified email at stanford.edu
Michael RonayneColorado State UniversityVerified email at colostate.edu
Alain DassarguesProfessor Emeritus Hydrogeology and Geological Environmental Engineering, University of LiegeVerified email at uliege.be
Cheolkyun JeongArtificial Intelligence Engineer, SchlumbergerVerified email at slb.com

Jef Caers

Stanford University, Professor of Geological Sciences

Verified email at stanford.edu - Homepage

data science for geoscience uncertainty quantification mineral exploration decision making


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	626	2015
Modeling Uncertainty in the Earth Sciences J Caers Modeling Uncertainty in the Earth Sciences, 2011	504	2011
Multiple-point geostatistics: a quantitative vehicle for integrating geologic analogs into multiple reservoir models J Caers, T Zhang AAPG Special Volumes, 2004	433	2004
Stochastic simulation of patterns using distance-based pattern modeling M Honarkhah, J Caers Mathematical Geosciences 42, 487-517, 2010	412	2010
Petroleum geostatistics J Caers (No Title), 2005	371	2005
Conditional simulation with patterns GB Arpat, J Caers Mathematical Geology 39, 177-203, 2007	365	2007
Representing spatial uncertainty using distances and kernels C Scheidt, J Caers Mathematical Geosciences 41, 397-419, 2009	318	2009
History matching under training-image-based geological model constraints J Caers SPE journal 8 (03), 218-226, 2003	269	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	226	2015
The probability perturbation method: a new look at Bayesian inverse modeling J Caers, T Hoffman Mathematical geology 38 (1), 81-100, 2006	212	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	207	2009
Geostatistical reservoir modelling using statistical pattern recognition J Caers Journal of Petroleum Science and Engineering 29 (3-4), 177-188, 2001	199	2001
Quantifying uncertainty in subsurface systems C Scheidt, L Li, J Caers Wiley, June 2018, American Geophysical Union, 2018	192	2018
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	174	2003
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	161	2006
Bayesian inverse problem and optimization with iterative spatial resampling G Mariethoz, P Renard, J Caers Water Resources Research 46 (11), 2010	160	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	158	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, 105-119, 2008	138	2008
Quantifying asymmetric parameter interactions in sensitivity analysis: application to reservoir modeling D Fenwick, C Scheidt, J Caers Mathematical Geosciences 46, 493-511, 2014	134	2014
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, 609-621, 2013	134	2013

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