It is a challenging task to predict and analyse the transient flow physics in unconventional
complex geological formations such as coal seams. This is due to the multi-scale multi …

This paper presents a hybrid deep learning framework that combines graph neural networks
with convolutional neural networks to predict porous media properties. This approach …

This paper presents a novel technique for upscaling multiphase fluid flow in complex porous
materials that combines asymptotic homogenization approach with hydrodynamicand …

The hydraulic conductivity of rock joints is an important parameter controlling fluid flow in
various rock engineering applications. The shearing and normal loading have significant …

Multiphase flow through fractures has great significance in subsurface energy recovery and
gas storage applications. Different fracture and flow properties affect flow through a fracture …

Tight subsurface geosystems provide significant prospects for the recovery and storage of
mass and energy. Because of the tightness of these systems, natural and engineered …

Surfactants are widely used in the fracturing fluid to enhance the imbibition and thus the oil
recovery rate. However, current numerical models cannot capture the physics behind …

The development of a novel method for modelling fluid flow and heat transfer in naturally
fractured geothermal reservoirs represents a significant advancement in geothermal energy …

The accurate prediction of the equivalent hydraulic aperture (EHA) in a single fracture is of
paramount importance for the investigation of fracture flow capacity. Previous studies …

Shale gas reservoir fluid flow is characterized by complex interactions between a number of
variables, including stress sensitivity, matrix shrinkage, and critical desorption pressure. The …