This article develops a Bayesian framework to quantify the absolute permeability of water in
a porous structure from the geometry and clustering parameters of its underlying pore-throat …

Abstract Triply-Periodic Minimal Surfaces (TPMS) analytical formulation does not provide a
direct correlation between the input parameters (analytical) and the mechanical and …

In recent years, convolutional neural networks (CNNs) have experienced an increasing
interest in their ability to perform a fast approximation of effective hydrodynamic parameters …

The characterization of capillary transition zone (TZ), which contains large amount of oil, is
challenging, because of the rock types in it affecting the fluid flow behavior. The thickness of …

The paper presents the results of comprehensive studies of filtration and capacitance
properties of highly porous reservoir rocks of the aquifer of an underground gas storage …

The performance of biomaterial scaffolds for bone tissue engineering, such as porous
titanium implants, is strongly dependent on their structural features; consequently, a reliable …

Digital rock physics (DRP) is an emerging technique that has rapidly become an
indispensable tool to estimate elastic properties. The success of DRP mainly depends on …

This paper considers the results of numerical simulation of fluid flow. The computational
domain represented the three-dimensional pore space obtained from processing digital …

Las tecnologías de fabricación aditiva son cada vez más relevantes en los sectores de
ingeniería y fabricación. Su uso se ha extendido en el desarrollo de nuevos productos …

Micro-macro models pose a powerful tool to mathematically describe reactive flow and trans-
port phenomena in porous media research. Honoring the inherent multiscale spatial …