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

- 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:
(2024) Application of multi-sensor and AI-based core logging for a reduction of decision-making time within mineral exploration field projectsMLA: 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.