2 papers
physics.geo-ph2026
Learning and Inferring Multiphase Flow Dynamics in Porous Media using Scientific Machine Learning: Application to the "FluidFlower" CO2 Injection Experiment
Hannah Lu, Lluis Salo-Salgado, Yun-Ting Chou +2
Accurate prediction and parameter identification of multiphase flow in porous media remain central challenges in geological carbon dioxide storage due to strong nonlinearities, hig…
cs.LG2025
STONet: A neural operator for modeling solute transport in micro-cracked reservoirs
Ehsan Haghighat, Mohammad Hesan Adeli, S Mohammad Mousavi +1
In this work, we introduce a novel neural operator, the Solute Transport Operator Network (STONet), to efficiently model contaminant transport in micro-cracked porous media. STONet…