8 citations · 17 across the 8 of their papers we have counts for
8 papers
A locally mass-conservative enriched Petrov-Galerkin method without penalty for the Darcy flow in porous media
Huangxin Chen, Piaopiao Dong, Shuyu Sun +1
In this work we present an enriched Petrov-Galerkin (EPG) method for the simulation of the Darcy flow in porous media. The new method enriches the approximation trial space of the…
Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment Anything Model
Zhaoyang Ma, Xupeng He, Shuyu Sun +3
Accurate image segmentation is crucial in reservoir modelling and material characterization, enhancing oil and gas extraction efficiency through detailed reservoir models. This pre…
A well-balanced lattice Boltzmann model for binary fluids based on the incompressible phase-field theory
Long Ju, Peiyao Liu, Bicheng Yan +3
Spurious velocities arising from the imperfect offset of the undesired term at the discrete level are frequently observed in numerical simulations of equilibrium multiphase flow sy…
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks
Zhaoyang Ma, Xupeng He, Hyung Kwak +3
In digital rock physics, analysing microstructures from CT and SEM scans is crucial for estimating properties like porosity and pore connectivity. Traditional segmentation methods…
Absorption of Carbon Dioxide in Kerogen Nanopores: A Mechanism Study using the Molecular Dynamics Monte Carlo Method
Jie Liu, Tao Zhang, Shuyu Sun
Carbon capture and storage (CCS) technology has been applied successfully in recent decades to reduce carbon emissions and alleviate global warming. In this regard, shale reservoir…
Flashlight Search Medial Axis: A Pixel-Free Pore-Network Extraction Algorithm
Jie Liu, Tao Zhang, Shuyu Sun
Pore-network models (PNMs) have become an important tool in the study of fluid flow in porous media over the last few decades, and the accuracy of their results highly depends on t…