15 citations · 15 across the 1 of their papers we have counts for
3 papers
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 +1
This paper contributes to the development and evaluation of a deep learning workflow that accurately and efficiently predicts the temporal-spatial evolution of pressure and CO2 plu…
Improving Deep Learning Performance for Predicting Large-Scale Porous-Media Flow through Feature Coarsening
Bicheng Yan, Dylan Robert Harp, Bailian Chen +1
Physics-based simulation for fluid flow in porous media is a computational technology to predict the temporal-spatial evolution of state variables (e.g. pressure) in porous media,…
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…