Since their inception, computational homogenization methods based on the fast Fourier
transform (FFT) have grown in popularity, establishing themselves as a powerful tool …

Fracture pattern development has been a challenging area of research in the Earth sciences
for more than 100 years. Much has been learned about the spatial and temporal complexity …

Obtaining structural information from tomographic images of porous materials is a critical
component of porous media research. Extracting pore networks is particularly valuable since …

Fluid flow and mass transport in geological materials are crucial in diverse Earth science
applications. To fully understand the behavior of geological materials in this context, the …

This paper investigates the viability of CO 2 storage in geological formations, including
depleted hydrocarbon reservoirs applying 3-dimensional seismic and well data of the Niger …

It is critical to rigorously determine the mechanical properties of granitic rocks to effectively
analyze and manage subsurface engineering activities, such as geothermal energy …

We present a research study aimed at testing of applicability of machine learn-ing
techniques for permeability prediction. We prepare a training set containing. 3D scans of …

Permeability prediction is crucial in shale gas and CO 2 geological sequestration. However,
the intricate pore structure complicates the prediction of permeability. Machine learning (ML) …

Micro‐continuum models are versatile and powerful approaches for simulating coupled
processes in two‐scale porous systems. Initially oriented for modeling static single‐phase …

In this article, we propose to discretize the problem of linear elastic homogenization by finite
differences on a staggered grid and introduce fast and robust solvers. Our method shares …