S. Kamrava

Flow physics-informed learning of relative permeability in porous media

A permeability-field physics-informed neural network (PF-PINN) is introduced, a coupled deep learning surrogate that maps a 3D binary rock image, through its local thickness transform, to drainage kr curves for both wetting and non-wetting phases, suggesting that embedding Darcy mass conservation enables an effective t...