Prediction of dilution in sublevel stoping through machine learning algorithms
M Jorquera,
W Korzeniowski,
K Skrzypkowski
Abstract:One of the most used underground mining methods is open stope mining which involves extracting a large body of ore through drilling and blasting. The method offers plenty of advantages but it has some very important drawbacks, such as overbreak, wall instability and unplanned ore dilution. The research looks to test the efficiency of using machine learning algorithms to estimate the dilution in open stopes, some of the expected benefits are reduced time cost (compared to numerical analysis) and more accurate r… Show more
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