most citedOptimization of Pressure Management Strategies for Geological CO2 Sequestration Using Surrogate Model-based Reinforcement Learning

37 citations · 48 across the 3 of their papers we have counts for

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cs.LG2024★ 1 cited

Multi-Step Embed to Control: A Novel Deep Learning-based Approach for Surrogate Modelling in Reservoir Simulation

Jungang Chen, Eduardo Gildin, John Killough

Reduced-order models, also known as proxy model or surrogate model, are approximate models that are less computational expensive as opposed to fully descriptive models. With the in…

cs.LG2023★ 10 cited

Transfer learning-based physics-informed convolutional neural network for simulating flow in porous media with time-varying controls

Jungang Chen, Eduardo Gildin, John E. Killough

A physics-informed convolutional neural network is proposed to simulate two phase flow in porous media with time-varying well controls. While most of PICNNs in existing literatures…