Modeling Dynamic Gas Desorption in Coal Reservoir Rehabilitation: Molecular Simulation and Neural Network Approach.

A thorough understanding of the control mechanisms of coal reservoir modification on methane adsorption and desorption is essential as this is a key technique for increasing the effectiveness of gas extraction. In this study, molecular dynamics simulations and neural networks were used to evaluate the effects of several coal reservoir alteration factors on gas desorption, from both microscopic and macroscopic perspectives. The findings demonstrated a direct correlation between coal pore size and the amount of methane adsorbed, as well as an inverse relationship between coal pore size and methane adsorption capacity and energy.