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3-D Structural geological models: Concepts, methods, and uncertainties
The Earth below ground is the subject of interest for many geophysical as well as geological
investigations. Even though most practitioners would agree that all available information …
investigations. Even though most practitioners would agree that all available information …
Geology from aeromagnetic data
This review aims to bridge the knowledge gap between geological and geophysical
communities by elucidating the interpretation of aeromagnetic data. Aeromagnetic surveys …
communities by elucidating the interpretation of aeromagnetic data. Aeromagnetic surveys …
GIS-based 3D prospectivity map**: A case study of Jiama copper-polymetallic deposit in Tibet, China
This paper reports a deposit-scale GIS-based 3D mineral potential assessment of the Jiama
copper-polymetallic deposit in Tibet, China. The assessment was achieved through a …
copper-polymetallic deposit in Tibet, China. The assessment was achieved through a …
GemPy 1.0: open-source stochastic geological modeling and inversion
M De la Varga, A Schaaf… - Geoscientific Model …, 2019 - gmd.copernicus.org
The representation of subsurface structures is an essential aspect of a wide variety of
geoscientific investigations and applications, ranging from geofluid reservoir studies, over …
geoscientific investigations and applications, ranging from geofluid reservoir studies, over …
Uncertainties have a meaning: Information entropy as a quality measure for 3-D geological models
Analyzing, visualizing and communicating uncertainties are important issues as geological
models can never be fully determined. To date, there exists no general approach to quantify …
models can never be fully determined. To date, there exists no general approach to quantify …
Locating and quantifying geological uncertainty in three-dimensional models: Analysis of the Gippsland Basin, southeastern Australia
Geological three-dimensional (3D) models are constructed to reliably represent a given
geological target. The reliability of a model is heavily dependent on the input data and is …
geological target. The reliability of a model is heavily dependent on the input data and is …
[HTML][HTML] Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models
Traditional approaches to develop 3D geological models employ a mix of quantitative and
qualitative scientific techniques, which do not fully provide quantification of uncertainty in the …
qualitative scientific techniques, which do not fully provide quantification of uncertainty in the …
Next generation three-dimensional geologic modeling and inversion
Abstract Existing three-dimensional (3-D) geologic systems are well adapted to high data-
density environments, such as at the mine scale where abundant drill core exists, or in …
density environments, such as at the mine scale where abundant drill core exists, or in …
Three-dimensional structural geological modeling using graph neural networks
Three-dimensional structural geomodels are increasingly being used for a wide variety of
scientific and societal purposes. Most advanced methods for generating these models are …
scientific and societal purposes. Most advanced methods for generating these models are …
Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and …
Three-dimensional (3-D) geological structural modeling aims to determine geological
information in a 3-D space using structural data (foliations and interfaces) and topological …
information in a 3-D space using structural data (foliations and interfaces) and topological …