STOPE OPTIMIZER IN UNDERGROUND MINING

https://doi.org/10.48498/minmag.2026.251.3.012

The article presents a method for optimizing stopes in underground mineral extraction. Based on cluster analysis of the block model, the proposed algorithm forms extraction units by accounting for both quantitative and qualitative characteristics of raw materials. A new approach is introduced to calculate the partial inclusion of geological blocks in clusters, offering greater accuracy than centroid-based methods. To optimize slope angles, the method applies the least squares technique and Mahalanobis distance, which helps reduce ore loss and dilution. The algorithm increased ore recovery by 4.3% while maintaining the target cut-off grade. Its novelty lies in precise geometric modeling of intersections and the use of variable slope angles. The approach enables more accurate planning under diverse geological conditions and improves the efficiency and profitability of mining operations.

*A. Imashev, M. Ungitbayev, V. Vlasenko, E. Padurets