3-D Structural geological models: Concepts, methods, and uncertainties

F Wellmann, G Caumon - Advances in geophysics, 2018 - Elsevier
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 …

Geology from aeromagnetic data

PG Betts, D Moore, A Aitken, T Blaikie, M Jessell… - Earth-Science …, 2024 - Elsevier
This review aims to bridge the knowledge gap between geological and geophysical
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

K **ao, N Li, A Porwal, EJ Holden, L Bagas, Y Lu - Ore Geology Reviews, 2015 - Elsevier
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 …

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 …

Uncertainties have a meaning: Information entropy as a quality measure for 3-D geological models

JF Wellmann, K Regenauer-Lieb - Tectonophysics, 2012 - Elsevier
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 …

Locating and quantifying geological uncertainty in three-dimensional models: Analysis of the Gippsland Basin, southeastern Australia

MD Lindsay, L Aillères, MW Jessell, EA de Kemp… - Tectonophysics, 2012 - Elsevier
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 …

[HTML][HTML] Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models

HKH Olierook, R Scalzo, D Kohn, R Chandra… - Geoscience …, 2021 - Elsevier
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 …

Next generation three-dimensional geologic modeling and inversion

M Jessell, L Aillères, E De Kemp, M Lindsay… - 2014 - pubs.geoscienceworld.org
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 …

Three-dimensional structural geological modeling using graph neural networks

M Hillier, F Wellmann, B Brodaric, E de Kemp… - Mathematical …, 2021 - Springer
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 …

Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and …

E Pakyuz-Charrier, M Lindsay, V Ogarko, J Giraud… - Solid earth, 2018 - se.copernicus.org
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 …