ESTIMATION OF COAL FIELD RESERVES WITH GRADING BY TECHNICAL CHARACTERISTICS OF COAL

Оцінка запасів вугільних родовищ з урахуванням класифікації вугілля за технічними характеристиками
Abdiev A.A. Shamganova L.S. Abdiev A.R. Orokov A.B. Ashymov A.Zh.
2025 Natsionalnyi Hirnychyi Universytet

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu
2025 Issue 2 5 - 12 pp.

Purpose. To improve the method of coal field reserve estimation with consideration of coal grading based on its technical characteristics. Methodology. The study employed modern approaches, including geophysical surveys and geochemical analysis and geological disturbances. Generalized linear regression and regression analysis methods were applied to account for the spatial heterogeneity of technical coal characteristics, such as moisture content, ash content, sulfur content, volatile matter, and calorific value. Findings. The analysis revealed significant variations in technical coal characteristics depending on seam depth. Ash content decreases with depth, while moisture content and volatile matter content exhibit substantial variability. Anomalies with elevated sulfur content were identified in deep seams, reaching maximum values at depths of 100‒140 m. The application of generalized linear regression enabled high-accuracy modeling of the spatial distribution of coal technical characteristics across the field. Originality. For the first time, a comprehensive analysis of the impact of geological disturbances on ash content, moisture content, and calorific value of coal was conducted in conditions of complex tectonic structure. An integrated approach to reserve estimation using modern statistical methods was proposed, improving the accuracy of estimates by 15 % compared to traditional methods. Practical value. The study’s results enable the optimization of coal resource forecasting processes. The proposed methods can be applied to mine planning under complex geological structure of deposits.

ash content , coal , moisture content , regression analysis , reserve estimation , volatile matter

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Kyrgyz State Technical University, Bishkek, Kyrgyzstan
Institute of Mining named after D. A. Kunaev, Almaty, Kazakhstan

Kyrgyz State Technical University
Institute of Mining named after D. A. Kunaev

10 лет помогаем публиковать статьи Международный издатель

Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026