B. He

Simulation-Driven Machine Learning for Rapid Prediction of Shale-Gas Apparent Permeability Based on Lattice Boltzmann Pore-Scale Simulations

Accurate and efficient prediction of shale-gas apparent permeability is essential for pore-scale flow analysis and reservoir evaluation. This study develops a simulation-driven machine learning framework combining controllable pore reconstruction, pore-scale lattice Boltzmann method (LBM) simulations, and neural networ...