Subsurface sedimentary structure identification using deep learning: A review
The reliable identification of subsurface sedimentary structures (ie, geologic heterogeneity)
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …
A review of spatial Markov models for predicting pre-asymptotic and anomalous transport in porous and fractured media
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 …
observations of non-Fickian or anomalous transport. While traditional anomalous transport …
Stage‐wise stochastic deep learning inversion framework for subsurface sedimentary structure identification
The stochastic models and deep‐learning models are the two most commonly used
methods for subsurface sedimentary structures identification. The results from the stochastic …
methods for subsurface sedimentary structures identification. The results from the stochastic …
[HTML][HTML] Estimation of the anisotropy of hydraulic conductivity through 3D fracture networks using the directional geological entropy
C Zhou, Z Ye, C Yao, X Fan, F ** tests and numerical groundwater flow …
Aquifer connectivity could greatly affect groundwater flow and further control the contaminant
transport in fractured medium. However, assessing connectivity of fractured aquifer at …
transport in fractured medium. However, assessing connectivity of fractured aquifer at …