3 papers
cs.LG2024
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.CE2024
Optimization of Pressure Management Strategies for Geological CO2 Sequestration Using Surrogate Model-based Reinforcement Learning
Jungang Chen, Eduardo Gildin, Georgy Kompantsev
Injecting greenhouse gas into deep underground reservoirs for permanent storage can inadvertently lead to fault reactivation, caprock fracturing and greenhouse gas leakage when the…
cs.LG2023
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…