Universal stochastic multiscale image fusion: an example application for shale rock
Spatial data captured with sensors of different resolution would provide a maximum degree
of information if the data were to be merged into a single image representing all scales. We …
of information if the data were to be merged into a single image representing all scales. We …
Locality-based 3-D multiple-point statistics reconstruction using 2-D geological cross sections
Multiple-point statistics (MPS) has shown promise in representing complicated subsurface
structures. For a practical three-dimensional (3-D) application, however, one of the critical …
structures. For a practical three-dimensional (3-D) application, however, one of the critical …
Comparing regression-based digital soil map** and multiple-point geostatistics for the spatial extrapolation of soil data
In this study, two approaches for spatial data extrapolation are investigated. The intention
here is to predict at fine spatial resolution, total gamma radiometric counts across a large …
here is to predict at fine spatial resolution, total gamma radiometric counts across a large …
Patch‐based iterative conditional geostatistical simulation using graph cuts
Training image‐based geostatistical methods are increasingly popular in groundwater
hydrology even if existing algorithms present limitations that often make real‐world …
hydrology even if existing algorithms present limitations that often make real‐world …
Conditional multiple-point geostatistical simulation for unevenly distributed sample data
To expand the applicability/versatility of multiple-point geostatistical (MPS) methods to the
unevenly distributed sample data acquired from geological and environmental surveys, this …
unevenly distributed sample data acquired from geological and environmental surveys, this …
A MPS-based novel method of reconstructing 3D reservoir models from 2D images using seismic constraints
While multi-point geostatistics (MPS) be used to model complex underground reservoirs, this
method relies heavily on high-quality three-dimensional (3D) training images that may be …
method relies heavily on high-quality three-dimensional (3D) training images that may be …
A space and time scale‐dependent nonlinear geostatistical approach for downscaling daily precipitation and temperature
A geostatistical framework is proposed to downscale daily precipitation and temperature.
The methodology is based on multiple‐point geostatistics (MPS), where a multivariate …
The methodology is based on multiple‐point geostatistics (MPS), where a multivariate …
High resolution multi-facies realizations of sedimentary reservoir and aquifer analogs
Geological structures are by nature inaccessible to direct observation. This can cause
difficulties in applications where a spatially explicit representation of such structures is …
difficulties in applications where a spatially explicit representation of such structures is …
Conditional stochastic simulation of fluvial reservoirs using multi-scale concurrent generative adversarial networks
T Zhang, M Yin, H Bai, A Zhang, Y Du - Computational Geosciences, 2024 - Springer
To accurately grasp the comprehensive geological features of fluvial reservoirs, it is
necessary to exploit a robust modelling approach to visualize and reproduce the realistic …
necessary to exploit a robust modelling approach to visualize and reproduce the realistic …
Pattern-Based Multiple-point Geostatistics for 3D Automatic Geological Modeling of Borehole Data
J Guo, Y Zheng, Z Liu, X Wang, J Zhang… - Natural Resources …, 2025 - Springer
Urban 3D geological modeling is an essential approach for quickly understanding the
underground geological structure of a city and guiding underground engineering …
underground geological structure of a city and guiding underground engineering …