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Estimation of coal reserves in lower horizons of operating mines to involve them into mining

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Parent Category: 2025

Category: Content №3 2025

Created on 25 June 2025

Last Updated on 25 June 2025

Published on 30 November -0001

Written by U. T. Kazatov, L. S. Shamganova, A. R. Abdiev, R. Sh. Mambetova, Sh. A. Abdiev

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Authors:

U.T.Kazatov, orcid.org/0009-0009-4951-361X, 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.

R.Sh.Mambetova, orcid.org/0000-0002-4308-6831, Kyrgyz State Technical University, Bishkek, the Kyrgyz Republic

Sh.A.Abdiev, orcid.org/0000-0002-7353-4738, 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, (3): 005 - 012

https://doi.org/10.33271/nvngu/2025-3/005

Abstract:

Purpose. To assess coal reserves using modern geoinformation technologies to improve the accuracy of quantitative analysis, optimize mining processes, and minimize losses.

Methodology. The study employs computer modeling and geostatistical methods. The research was carried out in several stages to prepare cartographic and factual materials for reserve estimation. All stages were implemented using specialized Micromine software, which is widely used for geological data analysis and field modeling. 3D models of the coal seam were created to analyze its geometric parameters, such as thickness, dip angle, and spatial distribution.

Findings. It was established that the balance coal reserves of the studied area amount to 585.2 thousand tons, of which 493.7 thousand tons are recoverable. Reserve assessment by categories revealed that 355 thousand tons belong to category A (first group of geological complexity), while 230.2 thousand tons fall under category B (second group of geological complexity). 3D models significantly improved the accuracy of coal seam parameter estimation and reduced potential industrial losses of the mineral resource.

Originality. An integrated approach to coal reserve estimation has been developed, considering spatial variations in seam geometry, ash content, and technological parameters. Zones with the highest industrial potential were identified, enabling increased coal extraction efficiency by prioritizing the development of blocks with the highest concentration of recoverable reserves.

Practical value. The proposed solutions reduce coal losses and enhance extraction efficiency through detailed area segmentation block-by-block coal quality forecasting and seam characteristics analysis. The results can be utilized to optimize mining planning, reduce industrial losses, and improve the economic efficiency of coal extraction.

Keywords: coal reserves, geoinformation technologies, 3D modeling, geostatistics, mining

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