Abstract
Machine learning is a powerful tool that can be used to optimize mining operations by harnessing collected data to identify trends and forecast outcomes. This data-driven approach can be used in the full scope of mining from market analysis and orebody delineation to milling operations and stope design. The coupling of advanced survey techniques such as point cloud scans with geological/geotechnical block models and mining operational data produces better returns on investment, better grade control, more predictable mining outcomes, reduced environmental impact, and improved safety by reducing risk and increasing efficiency.