45 citations · 203 across the 10 of their papers we have counts for
3 papers · 1 filter
Investigating Steady Unconfined Groundwater Flow using Physics Informed Neural Networks
Mohammad Afzal Shadab, DingCheng Luo, Yiran Shen +2
A novel deep learning technique called Physics Informed Neural Networks (PINNs) is adapted to study steady groundwater flow in unconfined aquifers. This technique utilizes informat…
Convective carbon dioxide dissolution in a closed porous medium at high-pressure real-gas conditions
Baole Wen, Zhuofan Shi, Kristian Jessen +2
We combine modeling and measurements to investigate the dynamics of convective carbon dioxide (CO) dissolution in a pressure-volume-temperature cell, extending a recent study b…
Bayesian Poroelastic Aquifer Characterization from InSAR Surface Deformation Data Part II: Quantifying the Uncertainty
Amal Alghamdi, Marc Hesse, Jingyi Chen +2
Uncertainty quantification of groundwater (GW) aquifer parameters is critical for efficient management and sustainable extraction of GW resources. These uncertainties are introduce…