Lukas Mosser | DeepAI

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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...

10 Lukas Mosser, et al. ∙

∙ 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...

0 Andrea Gayon-Lombardo, et al. ∙

∙ 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...

10 Lukas Mosser, et al. ∙

∙ 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...

0 Lukas Mosser, et al. ∙

∙ 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...

2 Lukas Mosser, et al. ∙

∙ 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...

0 Lukas Mosser, et al. ∙

∙ 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...

0 Lukas Mosser, et al. ∙

∙ 04/11/2017

Reconstruction of three-dimensional porous media using generative adversarial neural networks

To evaluate the variability of multi-phase flow properties of porous med...

0 Lukas Mosser, et al. ∙

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