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 …

[HTML][HTML] A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area …

B Zhang, K Xu, U Khan, X Li, L Du, Z Xu - Ore Geology Reviews, 2023 - Elsevier
With the continuous exploitation of surface and shallow mineral resources, the global
demand for concealed ore deposit exploration is increasing. However, concealed mineral …

An overview of multimethod imaging approaches in environmental geophysics

FM Wagner, S Uhlemann - Advances in Geophysics, 2021 - Elsevier
Quantitative characterization of subsurface properties is critical for many environmental
applications and serves as the basis to simulate and better understand dynamic subsurface …

Three-dimensional geological modeling and spatial analysis from geotechnical borehole data using an implicit surface and marching tetrahedra algorithm

J Guo, X Wang, J Wang, X Dai, L Wu, C Li, F Li, S Liu… - Engineering …, 2021 - Elsevier
Abstract Three-dimensional (3D) geological modeling based on borehole data usually
requires many manual operations, and the modeling process remains very complicated and …

[HTML][HTML] Regional-scale 3D modelling in metamorphic belts: An implicit model-driven workflow applied in the Pennine Alps

G Arienti, A Bistacchi, G Caumon, G Dal Piaz… - Journal of Structural …, 2024 - Elsevier
Leveraging a high resolution geological and structural dataset acquired over decades of
fieldwork, we build the 3D structural model of a portion of the highly deformed core of the …

[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 …

[HTML][HTML] A method to construct statistical prior models of geology for probabilistic inversion of geophysical data

RB Madsen, AS Høyer, PBE Sandersen, I Møller… - Engineering …, 2023 - Elsevier
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 …

The potential of machine learning for a more responsible sourcing of critical raw materials

P Ghamisi, KR Shahi, P Duan, B Rasti… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
The digitization and automation of the raw material sector is required to attain the targets set
by the Paris Agreements and support the sustainable development goals defined by the …

Implicit modelling and dynamic update of tunnel unfavourable geology based on multi-source data fusion using support vector machine

B Yang, Y Ding, Q Zhu, L Zhang, H Wu… - … and Management of …, 2024 - Taylor & Francis
Three-dimensional unfavourable geology models with complex structures and various
attributes have become crucial for optimal design and risk control during tunnel construction …

Integrated framework for geological modeling: integration of data, knowledge, and methods

H Li, B Wan, D Chu, R Wang, G Ma, C Lei… - Bulletin of Engineering …, 2024 - Springer
Abstract Three-dimensional (3D) geological modeling from limited and scattered information
is essential for engineering geological investigation and design. Previous studies have …