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Application of Bayesian Generative Adversarial Networks to Geological Facies Modeling
Authors:Feng  Runhai  Grana  Dario  Mukerji  Tapan  Mosegaard  Klaus
Affiliation:1.Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
;2.School of Energy Resources, University of Wyoming, Laramie, WY, USA
;3.Department of Energy Resources Engineering, Stanford University, Stanford, CA, USA
;
Abstract:Mathematical Geosciences - Geological facies modeling is a key component in exploration and characterization of subsurface reservoirs. While traditional geostatistical approaches are still commonly...
Keywords:
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