Diesel particulate filter (DPF) made from cordierite with a porous filter media structure has
become an essential component in diesel engines to meet the increasingly the strict …

Permeability is a vital parameter for the design and construction of structures involving
ocean engineering. Based on the steady-state heat transfer theory and Darcy's law, a novel …

A physics-informed machine learning model is developed that can replace the numerical
simulations of porous media. By learning the communications among grid cells in the …

Well logging fluid prediction is of great significance in oil and gas exploration. Based on data
mining technology, this paper proposes an adaptive boosting random forest (Adaboost-RF) …

Accurately estimating reservoir rock properties is paramount for modeling the storage and
flow of fluids (hydrocarbon, carbon dioxide, and groundwater) in porous media. However …

The determination of the physico-mechanical characteristics of rocks is very essential for the
planning and implementation of engineering structures as well as for the classification of the …

Dynamic three‐dimensional computed tomography (CT) imaging of liquid transport in
porous media has primarily been conducted at high brilliance synchrotrons thus allowing …

Approximating the three‐dimensional structure of a fault network at depth in the subsurface
is key for robust estimates of fluid flow. However, only observations of two‐dimensional …

Permeability is the most important petrophysical characteristic for determining how fluids
pass through reservoir rocks. This study aims to develop and assess intelligent computer …

Petroleum reservoirs are often influenced by various flow behaviours including the mixture
of gas, water and oil. The gas relative permeability is used to estimate how much of the gas …