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cs.LG2021
Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications
Lukas Mosser, Ehsan Zabihi Naeini
Deep neural networks offer numerous potential applications across geoscience, for example, one could argue that they are the state-of-the-art method for predicting faults in seismi…
cs.LG2019★ 25 cited
DeepFlow: History Matching in the Space of Deep Generative Models
Lukas Mosser, Olivier Dubrule, Martin J. Blunt
The calibration of a reservoir model with observed transient data of fluid pressures and rates is a key task in obtaining a predictive model of the flow and transport behaviour of…