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Regional dome evolution and its control on ore-grade distribution: Insights from 3D implicit modelling of the Navachab gold deposit, Namibia
We introduce a novel approach to analyse and assess the structural framework of ore
deposits that fully integrates 3D implicit modelling in data-rich environments with field …
deposits that fully integrates 3D implicit modelling in data-rich environments with field …
Map** folds and fractures in basement and cover rocks using UAV photogrammetry, Cape Liptrap and Cape Paterson, Victoria, Australia
Brittle and ductile deformation of alternating layers of Devonian sandstone and mudstone at
Cape Liptrap, Victoria, Australia, resulted in upright folds with associated fold …
Cape Liptrap, Victoria, Australia, resulted in upright folds with associated fold …
[HTML][HTML] Three-dimensional mineral prospectivity map** Considering structural restoration in the Dayingezhuang gold Deposit, eastern china
In the era of big data and the rapid advancements in machine learning, particularly deep
learning, three-dimensional mineral prospectivity map** (3D MPM) has emerged as a …
learning, three-dimensional mineral prospectivity map** (3D MPM) has emerged as a …
Three-dimensional implicit stratigraphic model building from remote sensing data on tetrahedral meshes: theory and application to a regional model of La Popa Basin …
Remote sensing data provide significant information to constrain the geometry of geological
structures at depth. However, the use of intraformational geomorphologic features such as …
structures at depth. However, the use of intraformational geomorphologic features such as …
3D geological suitability evaluation for urban underground space development–A case study of Qianjiang Newtown in Hangzhou, Eastern China
F Dou, X Li, H **ng, F Yuan, W Ge - Tunnelling and Underground Space …, 2021 - Elsevier
Geological suitability evaluation for urban underground space (UUS) is essential for
effective UUS utilisation and exploitation risk reduction. However, previous research was …
effective UUS utilisation and exploitation risk reduction. However, previous research was …
Deep multimodal fusion for 3D mineral prospectivity modeling: Integration of geological models and simulation data via canonical-correlated joint fusion networks
Y Zheng, H Deng, J Wu, S **e, X Li, Y Chen, N Li… - Computers & …, 2024 - Elsevier
Abstract Data-driven three-dimensional (3D) mineral prospectivity modeling (MPM) employs
diverse 3D exploration indicators to express geological architecture and associated …
diverse 3D exploration indicators to express geological architecture and associated …
Implicit modeling of folds and overprinting deformation
Three-dimensional structural modeling is gaining importance for a broad range of
quantitative geoscientific applications. However, existing approaches are still limited by the …
quantitative geoscientific applications. However, existing approaches are still limited by the …
[HTML][HTML] GeoINR 1.0: an implicit neural network approach to three-dimensional geological modelling
Implicit neural representation (INR) networks are emerging as a powerful framework for
learning three-dimensional shape representations of complex objects. These networks can …
learning three-dimensional shape representations of complex objects. These networks can …
A machine learning approach to the potential-field method for implicit modeling of geological structures
Implicit modeling has experienced a rise in popularity over the last decade due to its
advantages in terms of speed and reproducibility in comparison with manual digitization of …
advantages in terms of speed and reproducibility in comparison with manual digitization of …
[HTML][HTML] LoopStructural 1.0: time-aware geological modelling
In this contribution we introduce LoopStructural, a new open-source 3D geological
modelling Python package (http://www. github. com/Loop3d/LoopStructural, last access: 15 …
modelling Python package (http://www. github. com/Loop3d/LoopStructural, last access: 15 …