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Prediction of coal seam occurrence using numerical methods and a three-dimensional geoinformation system

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Category: Content №5 2025

Last Updated on 25 October 2025

Published on 30 November -0001

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Authors:

D. S. Malashkevych*, orcid.org/0000-0002-8494-2489, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

V. V. Ruskykh, orcid.org/0000-0002-5615-2797, Dnipro University of Technology, Dnipro, Ukraine

V. Yu. Medianyk, orcid.org/0000-0001-5403-5338, Dnipro University of Technology, Dnipro, Ukraine

O. A. Haidai, orcid.org/0000-0003-0825-0023, Dnipro University of Technology, Dnipro, Ukraine

* 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, (5): 005 - 013

https://doi.org/10.33271/nvngu/2025-5/005

Abstract:

Purpose. Development and application of a methodology for predicting the occurrence of a coal seam using numerical interpolation methods and three-dimensional geoinformation modeling.

Methodology. The study is based on geological exploration data of the c ₄² coal seam at the “Samarska” mine. Numerical interpolation methods and three-dimensional modeling in AutoCAD 3D were used. Based on geological data, a digital terrain model of the seam’s floor was constructed, and its thickness and variations across the area were determined. Using mathematical methods, an analysis of thinning and thickening zones of the seam was carried out, allowing for the estimation of coal extraction volumes, waste rock yield, and the operational ash content of coal.

Findings. As a result of the study, a three-dimensional model of the c ₄² coal seam of the “Samarska” mine was developed and its geological thickness was determined. Areas of thinning and thickening of the seam were identified, which made it possible to optimize the location of extraction pillars and preparatory workings. Volumes of coal to be mined and waste rock to be cut were calculated. The estimated operational ash content of coal was determined to be 34.4 %, which is an important factor for controlling the quality of the extracted product. The data obtained made it possible to optimize the parameters of cleaning operations, adapting the technological process to the geological conditions of the coal seam.

Originality. The article proposes an improved approach to predicting coal seam occurrence using numerical interpolation and three-dimensional modeling, adapted to conditions with limited geological data. For the first time, a step-by-step construction with dynamic uprating of seam geometry is implemented, enhancing the accuracy of reserve estimation and the efficiency of mining design.

Practical value. The developed methodology makes it possible to minimize exploration costs, improve the reserve estimation accuracy, reduce risks, and optimize mining operations. The results can be used to design production technology for other mines in Western Donbas, contributing to increased mining efficiency.

Keywords: prediction, coal seam, three-dimensional modeling, interpolation, geological thickness, extraction

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