Issue |
E3S Web Conf.
Volume 526, 2024
Mineral Resources & Energy Congress (SEP 2024)
|
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Article Number | 01017 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/e3sconf/202452601017 | |
Published online | 20 May 2024 |
Territorial distribution of germanium in the c5 coal seam on the territory of the “Pavlohradska” mine
1 Dnipro University of Technology, Department of Geology and Mineral Prospecting, 19 Yavornytskoho Ave., 49005 Dnipro, Ukraine
2 M.S. Poliakov Institute of Geotechnical Mechanics of the NAS of Ukraine, 2а Simferopolska St., 49005 Dnipro, Ukraine
3 Dnipro University of Technology, Department of Ecology and Technologies of Environmental Protection, 19 Yavornytskoho Ave., 49005 Dnipro, Ukraine
4 Universidad Nacional de San Agustin de Arequipa, Scientific Research Institute of the Center of Renewable Energy and Energy Efficiency, San Agustin Street 107, 04000 Arequipa, Peru
* Corresponding author: ishwishw37@gmail.com
The actual issues of the distribution of germanium in the c5 coal seam in the territory of the “Pavlohradska” mine of Western Donbas were studied. Three zones with high germanium content were found on the territory of the c5 seam, and their spatial location was determined. It was established that the geological structure of the c5 coal seam in places with the highest germanium content has common features: minimal thickness, the presence of one or two partings, as well as the presence of at least two low-amplitude northeast-trending disturbances, which can be used as predictive criteria for determining zones with the largest germanium content. The increased variability of the thickness of the coal seam, its structure, the presence of discontinuities, and the lithologicalfacies variability of the immediate and main roof contribute to the increase in the gradients of the germanium content. The growth of the regional component of germanium content in the north-eastern direction was established. It has been proven that both syngenetic and epigenetic factors influence the content of germanium in the coal seam. The regression equation between these parameters is calculated, which allows you to predict the germanium content without conducting new tests and analytical studies.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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