Three-Dimensional Geological Modelling in Earth Science Research: An In-Depth Review and Perspective Analysis

X Cao, Z Liu, C Hu, X Song, JA Quaye, N Lu - Minerals, 2024 - mdpi.com
This study examines the development trajectory and current trends of three-dimensional
(3D) geological modelling. In recent years, due to the rising global energy demand and the …

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 …

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 …

Into the Noddyverse: A massive data store of 3D geological models for Machine Learning & inversion applications

M Jessell, J Guo, Y Li, M Lindsay… - Earth System …, 2021 - essd.copernicus.org
Unlike some other well-known challenges such as facial recognition, where Machine
Learning and Inversion algorithms are widely developed, the geosciences suffer from a lack …

Estimating the permeability of fractured rocks using topological characteristics of fracture network

K Xue, Z Zhang, Y Jiang, Y Luo - Computers and Geotechnics, 2023 - Elsevier
The variability and inter-influence of individual geometric parameters make permeability
evaluation of fractured rocks based on fracture geometric characteristics challenging …

Uncertainty assessment in 3-D geological models of increasing complexity

D Schweizer, P Blum, C Butscher - Solid Earth, 2017 - se.copernicus.org
The quality of a 3-D geological model strongly depends on the type of integrated geological
data, their interpretation and associated uncertainties. In order to improve an existing …

Quantification of uncertainty in 3-D seismic interpretation: implications for deterministic and stochastic geomodeling and machine learning

A Schaaf, CE Bond - Solid earth, 2019 - se.copernicus.org
In recent years, uncertainty has been widely recognized in geosciences, leading to an
increased need for its quantification. Predicting the subsurface is an especially uncertain …

[HTML][HTML] Integration of geoscientific uncertainty into geophysical inversion by means of local gradient regularization

J Giraud, M Lindsay, V Ogarko, M Jessell, R Martin… - Solid Earth, 2019 - se.copernicus.org
We introduce a workflow integrating geological modelling uncertainty information to
constrain gravity inversions. We test and apply this approach to the Yerrida Basin (Western …

Structural geology applied to the evaluation of hydrothermal gold deposits

TG Blenkinsop, NHS Oliver, P Dirks, M Nugus, G Tripp… - 2020 - pubs.geoscienceworld.org
The structural geology and tectonic setting of hydrothermal gold deposits are paramount for
understanding their genesis and for their exploration. Strong structural control on …

[HTML][HTML] Constraining stochastic 3-D structural geological models with topology information using approximate Bayesian computation in GemPy 2.1

A Schaaf, M de la Varga, F Wellmann… - Geoscientific Model …, 2021 - gmd.copernicus.org
Structural geomodeling is a key technology for the visualization and quantification of
subsurface systems. Given the limited data and the resulting necessity for geological …