Application of multi-sensor and AI-based core logging for a reduction of decision-making time within mineral exploration field projects

The Australasian Institute of Mining and Metallurgy
C Garcia I Luna-Berbesi A Krishnan
Organization:
The Australasian Institute of Mining and Metallurgy
Pages:
4
File Size:
884 KB
Publication Date:
Sep 1, 2024

Abstract

The discovery and exploration of deposits are progressively shifting to extremely remote regions and greater depths. As a result, exploration costs and the economic risk of a bad investment increase. Current megatrends in the exploration and mining sector indicate a growing demand for the implementation of automation, digitalisation, and machine learning techniques. The implementation of a multi-sensor-based core logging device (DMT, 2024) was done on 400 m of drill cores to optimise interdisciplinary processes in terms of time and quality, by using interlinked and consistent data in real-time, to obtain reliable predictions that support and speed up decision-making. The results are consistent with the laboratory data previously obtained by the mining company, highlighting the benefits of introducing ANCORELOG into their core logging procedures.
Citation

APA: C Garcia I Luna-Berbesi A Krishnan  (2024)  Application of multi-sensor and AI-based core logging for a reduction of decision-making time within mineral exploration field projects

MLA: C Garcia I Luna-Berbesi A Krishnan Application of multi-sensor and AI-based core logging for a reduction of decision-making time within mineral exploration field projects. The Australasian Institute of Mining and Metallurgy, 2024.

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