Deployment of XRF Sensors Underground: An Opportunity for Grade Monitoring or Bulk Ore Sorting in Cave Mines

Author:

Cetin Mahir Can1,Klein Bern1,Li Genzhuang1,Futcher William12,Haest Maarten3,Welsh Andrew3

Affiliation:

1. Norman B. Keevil Institute of Mining Engineering, University of British Columbia, 517-6350 Stores Road, Vancouver, BC V6T 1Z4, Canada

2. Newcrest Mining Limited, Level 8, 600 St. Kilda Road, Melbourne, VIC 3004, Australia

3. MineSense Technologies Ltd., 100-8365 Ontario Street, Vancouver, BC V5X 3E8, Canada

Abstract

Ore grades are monitored regularly in cave mines through drawpoint sampling. Automating grade monitoring through deploying X-ray fluorescence (XRF) sensors on the buckets of production loaders has been proposed as an alternative approach to address the issues around the traditional practice of drawpoint sampling. Bucket-mounted sensors can also be employed for bulk ore sorting underground. This study is aimed at evaluating the deployment of XRF sensors on production loaders as an opportunity for grade monitoring or bulk ore sorting in caving operations. The mill feed grade prediction performances of the drawpoint sampling program and mine planning software were assessed for the Cadia East panel cave mine. The results showed that the drawpoint samples underestimated the mill feed quality during a 10-month investigation period. The cave portions with bulk ore sorting potential were linked to the extraction level layout to estimate the number of drawpoints where sensors could be situated for diverting ore and waste. Samples obtained from the mine were tested to evaluate the ability of a lab-scale proxy of a bucket-mounted XRF sensor system to measure copper and gold grades. R-squared values of 0.84 and 0.68 were achieved between the predicted and measured copper and gold grades of the samples, respectively. Sensor test results are promising in revealing the potential to utilize XRF sensors underground. Future test work is encouraged to further validate the applicability of XRF sensors in an underground mining environment.

Funder

Center for Innovation in Mineral Resource Engineering

International Caving Research Network

Mitacs

Publisher

MDPI AG

Subject

Geology,Geotechnical Engineering and Engineering Geology

Reference19 articles.

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2. Brown, E.T. (2003). Block Caving Geomechanics, Brisbane: Julius Kruttschnitt Mineral Research Centre, The University of Queensland.

3. Cave mining: 16 years after Laubscher’s 1994 paper ‘Cave mining–state of the art’;Chitombo;Min. Technol.,2010

4. Moss, A., Klein, B., and Nadolski, S. (2018, January 15–17). Cave to mill: Improving value of caving operations. Proceedings of the Caving 2018: Proceedings of the Fourth International symposium on Block and Sublevel Caving, Vancouver, BC, Canada.

5. Nadolski, S., Klein, B., Elmo, D., Scoble, M., Liu, Y., and Scholar, J. (2016, January 9–11). Investigation into the Implementation of Sensor-based Ore Sorting Systems at a Block Caving Operation. Proceedings of the Seventh International Conference & Exhibition on Mass Mining, Sydney, NSW, Australia.

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