Pore-scale imaging and modeling has advanced greatly through the integration of Deep
Learning into the workflow, from image processing to simulating physical processes. In …

Liquid invasion into a porous medium is a phenomenon of great importance in both nature
and technology. Despite its enormous importance, there is a surprisingly sparse …

Abstract In this paper, Convolutional Neural Networks (CNNs) are trained to rapidly estimate
several physical properties of porous media using micro-computed tomography (micro-CT) …

Many properties of complex porous media such as reservoir rocks are strongly affected by
heterogeneity at different scales. Complex depositional and diagenetic processes have a …

We generate a novel reference dataset to quantify the impact of numerical solvers, boundary
conditions, and simulation platforms. We consider a variety of microstructures ranging from …

This article provides an overview of the current state of digital rock technology, with
emphasis on industrial applications. We show how imaging and image analysis can be …

Segmentation of 3D micro-Computed Tomographic (μ CT) images of rock samples is
essential for further Digital Rock Physics (DRP) analysis, however, conventional methods …

Pore-scale images obtained from a synchrotron-based X-ray computed micro-tomography
(µCT) imbibition experiment in sandstone rock were used to conduct Navier–Stokes flow …

Pore‐scale digital images are usually obtained from microcomputed tomography data that
has been segmented into void and grain space. Image segmentation is a crucial step in the …

Fractures, vugs, and pores constitute the main pore space in carbonate reservoirs. The
associated pore structure—which is of key importance in terms of hydrocarbon production …