most citedLearning CO plume migration in faulted reservoirs with Graph Neural Networks

11 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MS2024

Matrix-Free Finite Volume Kernels on a Dataflow Architecture

Ryuichi Sai, Francois P. Hamon, John Mellor-Crummey +1

Fast and accurate numerical simulations are crucial for designing large-scale geological carbon storage projects ensuring safe long-term CO2 containment as a climate change mitigat…

math.NA2024

Pressure-stabilized fixed-stress iterative solutions of compositional poromechanics

Ryan M. Aronson, Nicola Castelletto, François P. Hamon +2

We consider the numerical behavior of the fixed-stress splitting method for coupled poromechanics as undrained regimes are approached. We explain that pressure stability is related…

math.NA2023

Multilevel well modeling in aggregation-based nonlinear multigrid for multiphase flow in porous media

Chak Shing Lee, François P. Hamon, Nicola Castelletto +2

A full approximation scheme (FAS) nonlinear multigrid solver for two-phase flow and transport problems driven by wells with multiple perforations is developed. It is an extension t…

cs.LG2023★ 11 cited

Learning CO plume migration in faulted reservoirs with Graph Neural Networks

Xin Ju, François P. Hamon, Gege Wen +3

Deep-learning-based surrogate models provide an efficient complement to numerical simulations for subsurface flow problems such as CO geological storage. Accurately capturing t…

cs.MS2023

Massively Distributed Finite-Volume Flux Computation

Ryuichi Sai, Mathias Jacquelin, François P. Hamon +2

Designing large-scale geological carbon capture and storage projects and ensuring safe long-term CO2 containment - as a climate change mitigation strategy - requires fast and accur…