most citedA Computationally Efficient Hybrid Neural Network Architecture for Porous Media: Integrating Convolutional and Graph Neural Networks for Improved Property Predictions

23 citations · 23 across the 2 of their papers we have counts for

collaborators

2 papers

physics.geo-ph2025

Pore-scale insights into the role of micro fractures on permeability of fractured porous media

Ruichang Guo, Hongsheng Wang, Reza Ershadnia +1

Fractures play a critical role in governing fluid flow within subsurface energy systems, including oil and gas production, geologic carbon sequestration, and underground hydrogen s…

physics.geo-ph2023★ 23 cited

A Computationally Efficient Hybrid Neural Network Architecture for Porous Media: Integrating Convolutional and Graph Neural Networks for Improved Property Predictions

Qingqi Zhao, Xiaoxue Han, Ruichang Guo +1

Porous media is widely distributed in nature, found in environments such as soil, rock formations, and plant tissues, and is crucial in applications like subsurface oil and gas ext…