In the last few decades, deep learning (DL) has afforded solutions to macroscopic problems
in petroleum engineering, but mechanistic problems at the microscale have not benefited …

CO 2 injection for subsurface hydrocarbon development not only enhances oil and gas
recovery but also enables CO 2 sequestration in the subsurface. It is essential to develop …

This paper applies the meshless generalized finite difference method (GFDM) to analyze the
subsurface flow problem in anisotropic formations for the first time, and develops the …

This paper makes the first attempt to apply newly developed upwind GFDM for the meshless
solution of two-phase porous flow equations. In the presented method, node cloud is used to …

Reservoir history matching refers to the process of continuously adjusting the parameters of
the reservoir model, so that its dynamic response will match the historical observation data …

The in situ efficient exploitation of low-mature organic-rich shale resources is critical for
alleviating the current oil shortage. Convection heating is the most critical and feasible …

In this paper, an upwind GFDM is developed for coupled heat and mass transfer problems in
porous media. GFDM is a meshless method that can obtain the difference schemes of …

Over the last two decades, unconventional natural gas resources from tight sandstone and
shale reservoirs have garnered substantial interest and have become a focal point for the oil …

This paper applies generalized finite difference method (GFDM) to a compressible two-
phase flow in anisotropic porous media with the aim of further extending the wider …

The physics-based data-driven flow-network models with high computational efficiency have
received great attention as the promising surrogate models for reservoir numerical …