The reliable identification of subsurface sedimentary structures (ie, geologic heterogeneity)
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …

Heterogeneity across a broad range of scales in geologic porous media often manifests in
observations of non-Fickian or anomalous transport. While traditional anomalous transport …

The stochastic models and deep‐learning models are the two most commonly used
methods for subsurface sedimentary structures identification. The results from the stochastic …

Realistic representation of subsurface heterogeneity is essential to better understand and
effectively predict the migration and trapping patterns of carbon dioxide (CO2) during …

With an extension of the geological entropy concept in porous media, the approach called
directional entrogram is applied to link hydraulic behavior to the anisotropy of the 3D fracture …

A systematic approach has been developed to estimate the relationship between the
permeability and connectivity of two‐dimensional fracture networks, in which the network …

To investigate the intrinsic association between geometrical properties and permeability of
anisotropic fractured media, a methodology of geological entropy is applied to anisotropic …

Dealing with complex and geologically realistic modeling of subsurface systems requires
detailed spatial data sets. Such a big data can be usually provided through an image …

We investigate the relative impact of topological, geometric, and hydraulic heterogeneity on
transport processes in three‐dimensional fracture networks. Focusing on the two largest …

Polluted drainage from weathering of sulfide-rich waste rock deposits can cause long-term
impairment to waterways and biodiversity near mining sites. Mechanistic models represent …