Predicting rock type and detecting hydrothermal alteration using machine learning and petrophysical properties of the Canadian Malartic ore and host rocks, Pontiac Subprovince, Québec, Canada

Ore Geology Reviews(2018)

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摘要
•Physical properties measurements of 819 samples from Canadian Malartic deposit.•Hydrothermal alteration is marked by formation of pyrite from Fe-bearing minerals.•Hydrothermal alteration mostly affect sedimentary rock magnetic properties.•Support vector machines can predict rock type and alteration from physical properties.•Conceptual petrophysical models are proposed to guide geophysical exploration.
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关键词
Petrophysical properties,Supervised machine learning,Support vector machines,Mineral exploration,Intrusion-related gold deposits
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