Automated geological uncertainty quantification with borehole data using Bayesian Evidential Learning

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ADS bibcode
2019AGUFM.H43J2152Y
year
2019
Listed Authors
Yin, D. Z.
Amaru, M. L.
Caers, J.
Listed Institutions
Department of Geological Sciences, Stanford University, Stanford, CA, United States
Chevron Corporation Houston, Houston, TX, United States
Department of Geological Sciences, Stanford University, Stanford, CA, United States

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