A Gradient-based Deep Neural Network Model for Simulating Multiphase Flow in Porous Media

30 April 2021

Papers citing "A Gradient-based Deep Neural Network Model for Simulating Multiphase Flow in Porous Media"

6 / 6 papers shown

Title
Transfer learning-based physics-informed convolutional neural network for simulating flow in porous media with time-varying controls Jungang Chen Eduardo Gildin John E. Killough OOD AI4CE 13 7 0 10 Oct 2023
A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems Abdeldjalil Latrach M. L. Malki Misael Morales Mohamed Mehana M. Rabiei PINN AI4CE 19 28 0 06 Aug 2023
Graph Convolutional Networks for Simulating Multi-phase Flow and Transport in Porous Media Jiamin Jiang B. Guo GNN AI4CE 14 0 0 10 Jul 2023
Physics-Informed Graph Neural Network for Spatial-temporal Production Forecasting Wendi Liu Michael J. Pyrcz AI4CE 29 20 0 23 Sep 2022
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management Aleksandra Pachalieva Daniel O’Malley D. Harp Hari S. Viswanathan AI4CE 6 20 0 21 Jun 2022
A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods B. Yan Bailian Chen D. Harp R. Pawar AI4CE 23 89 0 15 Jul 2021