CO2 water-alternating-gas injection for enhanced oil recovery: Optimal well controls and half-cycle lengths. - Bailian Chen; Albert C. Reynolds (Comput. Chem. Eng., 2018)

Improving Deep Learning Performance for Predicting Large-Scale Porous-Media Flow through Feature Coarsening. - Bicheng Yan; Dylan Robert Harp; Bailian Chen; Rajesh J. Pawar (CoRR, 2021)

A Physics-Constrained Deep Learning Model for Simulating Multiphase Flow in 3D Heterogeneous Porous Media. - Bicheng Yan; Dylan Robert Harp; Bailian Chen; Rajesh J. Pawar (CoRR, 2021)

A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods. - Bicheng Yan; Bailian Chen; Dylan Robert Harp; Rajesh J. Pawar (CoRR, 2021)

Dynamic Risk Assessment for Geologic CO2 Sequestration. - Bailian Chen; Dylan Robert Harp; Yingqi Zhang; Curtis M. Oldenburg; Rajesh J. Pawar (CoRR, 2021)

NRAP-open-IAM: A flexible open-source integrated-assessment-model for geologic carbon storage risk assessment and management. - Veronika Vasylkivska; Robert Dilmore; Greg Lackey; Yingqi Zhang; Seth King; Diana H. Bacon; Bailian Chen; Kayyum Mansoor; Dylan Robert Harp (Environ. Model. Softw., 2021)

A gradient-based deep neural network model for simulating multiphase flow in porous media. - Bicheng Yan; Dylan Robert Harp; Bailian Chen; Hussein Hoteit; Rajesh J. Pawar (J. Comput. Phys., 2022)