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

https://doi.org/10.48498/minmag.2026.251.3.011

This article talks about ways to use analytical methods in the study of the chemical composition of coal, which is the main source of energy for the developing countries of the world. It is known that coal production in the world has been developing very intensively in recent years. In this regard, the issue of using analytical methods in coal production is on the agenda. Also, it is said that with the help of analytical methods based on physical phenomena such as X-ray, gamma ray and neutron interaction, it is possible to evaluate the quality of coal before burning it. The article describes how to study and monitor the coal ash content in the mine before it is mined, using X-ray fl uorescence, one of the most suitable analytical methods.

*D. Baimolda, S. Lennik, N. Aytan, E.R. Khalikova