4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CE2024★ 1 cited
History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs)
Jassem Abbasi, Ben Moseley, Takeshi Kurotori +4
We propose a workflow based on physics-informed neural networks (PINNs) to model multiphase fluid flow in fractured porous media. After validating the workflow in forward and inver…
physics.geo-ph2023★ 4 cited
Scaling up FluidFlower results for carbon dioxide storage in geological media
Anthony R. Kovscek, Jan Martin Nordbotten, Martin A. Ferno
The partial differential equations describing immiscible, but soluble, carbon dioxide (CO2) displacement of brine are developed including local mass-transfer effects. Scaling relat…