research
∙
06/16/2023
Learning CO_2 plume migration in faulted reservoirs with Graph Neural Networks
Deep-learning-based surrogate models provide an efficient complement to ...
share
research
∙
05/12/2022
Comparison of nonlinear field-split preconditioners for two-phase flow in heterogeneous porous media
This work focuses on the development of a two-step field-split nonlinear...
research
∙
06/07/2021
Smooth Implicit Hybrid Upwinding for Compositional Multiphase Flow in Porous Media
In subsurface multiphase flow simulations, poor nonlinear solver perform...
research
∙
05/09/2021
Probabilistic forecast of multiphase transport under viscous and buoyancy forces in heterogeneous porous media
In this study, we develop a probabilistic approach to map the parametric...
research
∙
05/01/2020
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework
We propose MeshfreeFlowNet, a novel deep learning-based super-resolution...
research
∙
01/29/2020
Algebraic stabilization of a Q_1-P_0 Lagrangian formulation for frictional contact mechanics with hydraulically active fractures
Accurate numerical simulation of coupled fracture/fault deformation and ...
research
∙
08/10/2017
