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Conference Proceedings

12th International Mining Geology Conference 2022

Conference Proceedings

12th International Mining Geology Conference 2022

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SBRE – a simple, flexible and scalable framework to perform conditional simulations for uncertainty quantification

MineSense Technologies Ltd. is revolutionising grade control at mining operations by installing ShovelSense® sensors on buckets that measure the grade of every load before it is dumped in the truck. This allows the mine to exploit grade variations at a resolution that was not available before, reducing the amount of ore loss to the waste stream and removing waste from material destined for processing. These changes dramatically improve the profitability and sustainability of mining operations. ShovelSense relies on X-ray fluorescence analysis of the rocks as they flow in the bucket and is integrated with fleet management to direct the trucks to the right destination. Lab simulations of ShovelSense measurements on porphyry copper ores show correlations between predictions and lab measurements at 0.98 r-squared with a coefficient of variation of 10 per cent. Visualisation of copper grade predictions in three dimensions shows a reasonable match with the dig plan, but with local changes in the ore-waste contact due to more accurate contact identification, related to blast movement and other mining factors. Correct delineation of these contacts ensures ore trucks are not sent to the waste dump and waste trucks are diverted from the crusher, creating enormous value for the operation and the environment
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  • SBRE – a simple, flexible and scalable framework to perform conditional simulations for uncertainty quantification
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  • SBRE – a simple, flexible and scalable framework to perform conditional simulations for uncertainty quantification
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  • Published: 2022
  • Pages: 5
  • PDF Size: 0.427 Mb.
  • Unique ID: P-01895-M3K1N2

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