A gradient-based deep neural network model for simulating multiphase flow in porous media

DOI10.1016/j.jcp.2022.111277OpenAlexW3158866033MaRDI QIDQ2671397

Hussein Hoteit, Bailian Chen, Bicheng Yan, Dylan R. Harp, Rajesh J. Pawar

Publication date: 3 June 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2105.02652

zbMATH Keywords

partial differential equationmultiphase flow in porous mediageological carbon sequestrationgradient-based deep neural network

Mathematics Subject Classification ID

Basic methods in fluid mechanics (76Mxx) Artificial intelligence (68Txx) Flows in porous media; filtration; seepage (76Sxx)

Related Items (1)

A surrogate model for the prediction of permeabilities and flow through porous media: a machine learning approach based on stochastic Brownian motion

Uses Software

• Petrel
• DiffSharp
• PyTorch
• Adam

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