Correlation functions (CFs) are universal structural descriptors; surface-surface F ss and
surface-void F sv CFs are a subset containing additional information about the interface …

Fluid flow characteristics are important to assess reservoir performance. Unfortunately,
laboratory techniques are inadequate to know these characteristics, which is why numerical …

Surface correlation functions are extremely useful descriptors of interfaces and in this role
can be used in material science, rock and soil physics, food engineering and other …

Structures are abundant in both natural and human-made environments and usually studied
in the form of images or scattering patterns. To characterize structures a huge variety of …

Digital rock analysis (DRA) has exhibited strong ability and significant potential to help
people to image geological microstructures and understand transport mechanisms in rocks …

Correlation functions are becoming one of the major tools for quantification of structural
information that is usually represented as 2D or 3D images of porous material. In this paper …

Heterogeneity is the concept we encounter in numerous research areas and everyday life.
While “not mixing apples and oranges” is easy to grasp, a more quantitative approach to …

Non-Newtonian fluids may cause nonlinear seepage even for a single-phase flow. Through
digital rock technologies, the upscaling of this non-Darcy flow can be studied; however, the …

The influence of topological entropy (TS) on the effective transport coefficient (ETC) of a two-
phase material is analyzed. The proposed methodology studies a system of aligned bars …

Effective transport coefficient (ETC) of particulate composites is a crucial parameter in many
industrial applications. ETC is subject to many microstructural parameters of the system at …