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Estimation of coal field reserves with grading by technical characteristics of coal

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Category: Content №2 2025

Last Updated on 28 April 2025

Published on 28 April 2025

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Authors:

A.A.Abdiev, orcid.org/0000-0001-7253-6304, Kyrgyz State Technical University, Bishkek, the Kyrgyz Republic

L.S.Shamganova, orcid.org/0000-0001-5903-5118, Institute of Mining named after D. A. Kunaev, Almaty, the Republic of Kazakhstan

A.R.Abdiev, orcid.org/0000-0003-3409-5717, Kyrgyz State Technical University, Bishkek, the Kyrgyz Republic, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

A.B.Orokov, orcid.org/0009-0000-5398-0426, Kyrgyz State Technical University, Bishkek, the Kyrgyz Republic

A.Zh.Ashymov, orcid.org/0009-0008-1531-7146, Kyrgyz State Technical University, Bishkek, the Kyrgyz Republic

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2025, (2): 005 - 012

https://doi.org/10.33271/nvngu/2025-2/005

Abstract:

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.

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

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