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05/25/2021
Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications
Deep neural networks offer numerous potential applications across geosci...
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02/17/2020
Stochastic reconstruction of periodic, three-dimensional multi-phase electrode microstructures using generative adversarial networks
The generation of multiphase porous electrode microstructures is a criti...
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05/14/2019
DeepFlow: History Matching in the Space of Deep Generative Models
The calibration of a reservoir model with observed transient data of flu...
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06/10/2018
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
We present an application of deep generative models in the context of pa...
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05/22/2018
Rapid seismic domain transfer: Seismic velocity inversion and modeling using deep generative neural networks
Traditional physics-based approaches to infer sub-surface properties suc...
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02/15/2018
Conditioning of three-dimensional generative adversarial networks for pore and reservoir-scale models
Geostatistical modeling of petrophysical properties is a key step in mod...
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12/07/2017
Stochastic reconstruction of an oolitic limestone by generative adversarial networks
Stochastic image reconstruction is a key part of modern digital rock phy...
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04/11/2017