most citedA Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods

15 citations · 16 across the 3 of their papers we have counts for

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physics.geo-ph2021

A Physics-Constrained Deep Learning Model for Simulating Multiphase Flow in 3D Heterogeneous Porous Media

Bicheng Yan, Dylan Robert Harp, Bailian Chen +1

In this work, an efficient physics-constrained deep learning model is developed for solving multiphase flow in 3D heterogeneous porous media. The model fully leverages the spatial…

physics.geo-ph2020

Great SCO2T! Rapid tool for carbon sequestration science, engineering, and economics

Richard S. Middleton, Jeffrey M. Bielicki, Bailian Chen +12

CO2 capture and storage (CCS) technology is likely to be widely deployed in coming decades in response to major climate and economics drivers: CCS is part of every clean energy pat…