Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training (2021-10-06T00:00:00.000000Z)

TL;DR

This work presents a PINN approach to solving the equations of coupled flow and deformation in porous media for both single-phase and multiphase flow, and proposes a sequential training approach based on the stress-split algorithms of poromechanics.

Authors

E. Haghighat

2 papers

Daniel Amini

1 papers

R. Juanes

1 papers

TL;DR

Authors

References77 items

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MIT Open Access

8: Barry-Mercer’s analytical solution for pore pressure (top), horizontal (middle) and vertical (bottom) displacements, respectively. Each column represents a different time