A rigorous random field-based framework for 3D stratigraphic uncertainty modelling
Sustainable development goals for site-specific and customized design have brought needs
to assess and quantify the stratigraphic uncertainty in three-dimensional (3D) modelling. The …
to assess and quantify the stratigraphic uncertainty in three-dimensional (3D) modelling. The …
[HTML][HTML] Geology-driven modeling: A new probabilistic approach for incorporating uncertain geological interpretations in 3D geological modeling
Combining different sources of information about the subsurface is an inherent challenge in
the process of making realistic geological and hydrostratigraphic models. Often the available …
the process of making realistic geological and hydrostratigraphic models. Often the available …
[HTML][HTML] A method to construct statistical prior models of geology for probabilistic inversion of geophysical data
In probabilistic inversion of geophysical data, one must describe the expected noise in the
system, and any prior information. In a geoscience context, prior information can provide a …
system, and any prior information. In a geoscience context, prior information can provide a …
[HTML][HTML] 3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures
Nitrate contamination of subsurface aquifers is an ongoing environmental challenge due to
nitrogen (N) leaching from intensive N fertilization and management on agricultural fields …
nitrogen (N) leaching from intensive N fertilization and management on agricultural fields …
Thermal kinetics of PFAS and precursors in soil: Experiment and surface simulation in temperature-time plane
Per-and polyfluoroalkyl substances (PFAS) are chemically and thermally stable due to the
presence of carbon-fluorine (C–F) bond in their molecular structures, hence have been …
presence of carbon-fluorine (C–F) bond in their molecular structures, hence have been …
[HTML][HTML] Enhancing estimation accuracy of nonstationary hydrogeological fields via geodesic kernel-based Gaussian process regression
In this study, the combined application of the geodesic kernel and Gaussian process
regression was explored to estimate nonstationary hydraulic conductivity fields in two …
regression was explored to estimate nonstationary hydraulic conductivity fields in two …
[HTML][HTML] Near surface sediments introduce low frequency noise into gravity models
GA Phelps, C Cronkite-Ratcliff - Applied Computing and Geosciences, 2023 - Elsevier
Abstract 3D geologic modeling and mapping often relies on gravity modeling to identify key
geologic structures, such as basin depth, fault offset, or fault dip. Such gravity models …
geologic structures, such as basin depth, fault offset, or fault dip. Such gravity models …
Introducing INPOX: a method for informed point extraction from geological 2D surfaces exemplified on the Danish national hydrostratigraphic model
This study presents a probabilistic method for extracting informed points from geological
surfaces, named INPOX. The method generates a probability map from the existing surface …
surfaces, named INPOX. The method generates a probability map from the existing surface …