X. Ju

activity

20212026

_{2}

plume migration in faulted reservoirs with Graph Neural Networks

11 citations · 22 across the 4 of their papers we have counts for

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cs.LG2026

Learning Pore-scale Multiphase Flow from 4D Velocimetry

Chunyang Wang, Linqi Zhu, Yuxuan Gu +9

Multiphase flow in porous media underpins subsurface energy and environmental technologies, including geological CO $_{2}$ storage and underground hydrogen storage, yet pore-scale dyn…

cs.LG2023★ 11 cited

Learning CO $_{2}$ 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 $_{2}$ geological storage. Accurately capturing t…

cs.LG2021★ 2 cited

Deep-learning-based coupled flow-geomechanics surrogate model for CO $_{2}$ sequestration

Meng Tang, Xin Ju, Louis J. Durlofsky

A deep-learning-based surrogate model capable of predicting flow and geomechanical responses in CO2 storage operations is presented and applied. The 3D recurrent R-U-Net model comb…

Learning Pore-scale Multiphase Flow from 4D Velocimetry

Learning CO2​ plume migration in faulted reservoirs with Graph Neural Networks

Deep-learning-based coupled flow-geomechanics surrogate model for CO2​ sequestration

Learning CO $_{2}$ plume migration in faulted reservoirs with Graph Neural Networks

Deep-learning-based coupled flow-geomechanics surrogate model for CO $_{2}$ sequestration