Machine learning techniques have garnered significant attention in various engineering
disciplines due to their potential and benefits. Specifically, in reservoir numerical …

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 efficient development of shale reservoirs relies on multi-stage hydraulic fracturing
technology in horizontal wells involving the difficulty of multi-scale flow for either gas or …

In traditional reservoir simulation methods, the computational domain is often discretized
into a grid system (FDM, FVM, FEM, etc.) or a mesh reduction system (point source solution …

In this work, a hybrid localized meshless method is developed for solving transient
groundwater flow in two dimensions by combining the Crank–Nicolson scheme and the …

Background and objectives: In virtual surgery, the resolution of bleeding surface has a
significant impact on the realism. The computational complexity of internal particles reduces …

This paper proposes a novel meshless numerical simulation method for fractured-vuggy
reservoirs. Initially, model discretization involves extracting fracture and vug feature nodes …

Shale gas reservoirs, as representative reservoirs in the Sichuan Basin, have attracted
widespread attention regarding development. Using gas reservoir numerical simulation to …

Reservoir simulation faces challenges in computational efficiency and uncertainty
management for large-scale assets. This study presents an integrated framework combining …