Integrate physics-driven dynamics simulation with data-driven machine learning to predict potential targets in maturely explored orefields: A case study in …

L Liu, F Zhou, W Cao - Journal of Geochemical Exploration, 2024 - Elsevier
The physics-driven dynamics simulation (DS) and data-driven machine learning (ML) are
two general approaches to predict complex systems whose complexity is a hardship …

Aspects of mineral exploration thinking

FT Graybeal - SEG Newsletter, 2022 - pubs.geoscienceworld.org
Editor's note: The aim of the Geology and Mining series is to introduce early career
professionals and students to various aspects of mineral exploration, development, and …

[图书][B] Mineral Systems, Earth Evolution, and Global Metallogeny

DI Groves, M Santosh - 2023 - books.google.com
Mineral Systems, Earth Evolution, and Global Metallogeny provides insights into the critical
parameters of Earth's evolution, particularly in terms of thermal state, tectonics, and the …

End-to-End Mineral Exploration with Artificial Intelligence and Ambient Noise Tomography

J Muir, G Olivier, A Reid - arXiv preprint arXiv:2403.15095, 2024 - arxiv.org
This paper presents an innovative end-to-end workflow for mineral exploration, integrating
ambient noise tomography (ANT) and artificial intelligence (AI) to enhance the discovery and …

Direct mineral content prediction from drill core images via transfer learning

R Boiger, SV Churakov, I Ballester Llagaria… - Swiss Journal of …, 2024 - Springer
Deep subsurface exploration is important for mining, oil and gas industries, as well as in the
assessment of geological units for the disposal of chemical or nuclear waste, or the viability …

Using machine learning and 3D geophysical modelling for mineral exploration

G Olivier - 1st Workshop on the Synergy of Scientific and Machine … - openreview.net
New and innovative methods are required to find critical mineral deposits to transition from
fossil fuels to renewable energy. Geophysical modelling and inversion has been crucial in …

[引用][C] The Geologic Model: A Subjective but Core Pillar of a Recoverable Resources Model

JB Novillo, ME Rossi, JA Bassan - SEG Newsletter, 2023 - pubs.geoscienceworld.org
Samples and geologic models are the basis of recoverable resources models. They are
pillars of mineral resources and reserves estimation. The geologic model, the most …