Learnable coarsening for two-phase flow in porous media
Abstract Hydrodynamic simulations of multi-phase flow in porous media are essential for oil production forecasting but require significant computational resources. Traditional approaches lead to high memory and time demands, restricting multi- scenario analysis. We propose a learnable coarsening algorithm based on grap...
Viacheslav Naumov, Nikolay B. Yavich, Alexander A. Ryabov et al.
· Machine Learning Science and... · 0 citations