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09/05/2023
Generating Infinite-Resolution Texture using GANs with Patch-by-Patch Paradigm
In this paper, we introduce a novel approach for generating texture imag...
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05/03/2023
Gym-preCICE: Reinforcement Learning Environments for Active Flow Control
Active flow control (AFC) involves manipulating fluid flow over time to ...
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07/07/2022
Stochastic optimal well control in subsurface reservoirs using reinforcement learning
We present a case study of model-free reinforcement learning (RL) framew...
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07/07/2022
Robust optimal well control using an adaptive multi-grid reinforcement learning framework
Reinforcement learning (RL) is a promising tool to solve robust optimal ...
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07/04/2022
Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network
Quantitative workflows utilizing real-time data to constrain ahead-of-bi...
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05/25/2022
Probabilistic model-error assessment of deep learning proxies: an application to real-time inversion of borehole electromagnetic measurements
The advent of fast sensing technologies allows for real-time model updat...
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05/11/2022
Generation of non-stationary stochastic fields using Generative Adversarial Networks with limited training data
In the context of generating geological facies conditioned on observed d...
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03/17/2022
Generating unrepresented proportions of geological facies using Generative Adversarial Networks
In this work, we investigate the capacity of Generative Adversarial Netw...
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08/10/2020
Optimal Bayesian experimental design for subsurface flow problems
Optimal Bayesian design techniques provide an estimate for the best para...
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09/04/2019
Regression-based sparse polynomial chaos for uncertainty quantification of subsurface flow models
Surrogate-modelling techniques including Polynomial Chaos Expansion (PCE...
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04/07/2019
Parametrization of stochastic inputs using generative adversarial networks with application in geology
We investigate artificial neural networks as a parametrization tool for ...
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10/24/2018
Reduced order modeling of subsurface multiphase flow models using deep residual recurrent neural networks
We present a reduced order modeling (ROM) technique for subsurface multi...
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09/20/2018
Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks
We propose a framework for synthesis of geological images based on an ex...
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07/13/2018
Parametric generation of conditional geological realizations using generative neural networks
We introduce a method for parametric generation of conditional geologica...
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11/12/2017
A machine learning approach for efficient uncertainty quantification using multiscale methods
Several multiscale methods account for sub-grid scale features using coa...
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09/04/2017
DR-RNN: A deep residual recurrent neural network for model reduction
We introduce a deep residual recurrent neural network (DR-RNN) as an eff...
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08/05/2017