GIS-based 3D prospectivity mapping: A case study of Jiama copper-polymetallic deposit in Tibet, China

K Xiao, 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 …

[HTML][HTML] Three-dimensional mineral prospectivity modeling for targeting of concealed mineralization within the Zhonggu iron orefield, Ningwu Basin, China

X Li, F Yuan, M Zhang, C Jia, SM Jowitt, A Ord… - Ore Geology …, 2015 - Elsevier
The Zhonggu iron orefield is one of the most important iron orefields in China, and is located
in the south of the Ningwu volcanic basin, within the middle and lower Yangtze metallogenic …

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 …

Learning 3D mineral prospectivity from 3D geological models using convolutional neural networks: Application to a structure-controlled hydrothermal gold deposit

H Deng, Y Zheng, J Chen, S Yu, K Xiao… - Computers & Geosciences, 2022 - Elsevier
Abstract Three-dimensional (3D) geological models are typical data sources in 3D mineral
prospectivity modeling. However, identifying prospectivity-informative predictor variables …

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 …

The topology of geology 1: Topological analysis

ST Thiele, MW Jessell, M Lindsay, V Ogarko… - Journal of Structural …, 2016 - Elsevier
Topology has been used to characterise and quantify the properties of complex systems in a
diverse range of scientific domains. This study explores the concept and applications of …

[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 …

Uncertainty reduction through geologically conditioned petrophysical constraints in joint inversion

J Giraud, E Pakyuz-Charrier, M Jessell, M Lindsay… - Geophysics, 2017 - library.seg.org
We have developed a joint geophysical inversion workflow that aims to improve subsurface
imaging and decrease uncertainty by integrating petrophysical constraints and geologic …

Uncertainty estimation for a geological model of the Sandstone greenstone belt, Western Australia–insights from integrated geological and geophysical inversion in a …

JF Wellmann, M De La Varga, RE Murdie… - Geological Society …, 2018 - lyellcollection.org
The spatial relationship between different rock types and relevant structural features is an
important aspect in the characterization of ore-forming systems. Our knowledge about this …