A dynamic model for optimally phasing in CO2 capture and storage infrastructure. - Richard S. Middleton; Michael J. Kuby; Ran Wei; Gordon N. Keating; Rajesh J. Pawar (Environ. Model. Softw., 2012)

Physics-Informed Machine Learning for Real-time Reservoir Management. - Maruti Kumar Mudunuru; Daniel O'Malley; Shriram Srinivasan; Jeffrey D. Hyman; Matthew R. Sweeney; Luke Frash; Bill Carey; Michael R. Gross; Nathan J. Welch; Satish Karra; Velimir V. Vesselinov; Qinjun Kang; et al. (AAAI Spring Symposium: MLPS, 2020)

A Gradient-based Deep Neural Network Model for Simulating Multiphase Flow in Porous Media. - Bicheng Yan; Dylan Robert Harp; Rajesh J. Pawar (CoRR, 2021)

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)

On the feasibility of using physics-informed machine learning for underground reservoir pressure management. - Dylan Robert Harp; Dan O'Malley; Bicheng Yan; Rajesh J. Pawar (Expert Syst. Appl., 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)