Digital model for predicting spatial variability of physical and mechanical properties of coal massive

This paper focuses on building a digital model that reflects the variability of the physical and mechanical properties of the Elginskoye deposit. The initial data came from electronic databases compiled from geological and operational exploration reports. The Orange software package was used to create a geological model of the coal-bearing rock mass of the Elginskoye deposit. Block 3D models of the variability of physical and mechanical properties such as compressive strength, tensile strength, and density of carbon-bearing rocks in stratigraphic intervals at depths U6–U5, U5–U4, U4–H16, and H16–H15 were constructed. Modern computer technologies are able to visualize the values of physical and mechanical properties corresponding to each point of a twodimensional cross-section of a geological body. Rather than constructing a complete three-dimensional digital model to assess the structure and condition of the rock mass, an approximation can be constructed using twodimensional cross-sections, which clearly and informatively display the spatial variability of one of the physical and mechanical properties. An example is given of hypsometric plans for the distribution of rock strength under tension, compression, and bulk density at the depth of the surrounding rocks, in the interlayers U6–U5. Interlayer strength was measured at intervals ranging from 0.4 m to 1 m in depth, thereby identifying changes in the physical and mechanical properties of the rock both with depth and laterally. The presented plans demonstrate a significant variability in the strength and density properties of the rock. The strength limit of rocks under uniaxial compression, within the studied intervals, varies from 20.5 MPa to 129.9 MPa, the strength limit under uniaxial tension, from 2.64 MPa to 11.3 MPa, and the bulk density varies from 2.45 g/cm³ to 2.81 g/cm³ . The results of the research can be used to design and plan the development of the deposit, as well as to draw up specifications for drilling and blasting operations, taking into account the variability of the properties of carbon-bearing rocks.

1. Lukichev SV. The development of domestically produced software is not only about import substitution, but also securing the country’s technological independence. Russian Mining Industry. 2022;(2):12–14 (in Russian).

2. Madsen RB, Høyer A-S, Andersen LT, et al. Geology-driven modeling: A new probabilistic approach for incorporating uncertain geological interpretations in 3D geological modeling. Engineering Geology. 2022; 309:106833. DOI: 10.1016/j.enggeo.2022.106833. 3

3. . Anistratov KY, Nagovitsyn OV, Nagovitsyn GO, et al. Designing a digital model of a coal deposit in the MINEFRAME mining and geological information system. Russian Mining Industry. 2024;(3):64–69 (in Russian). DOI: 10.30686/1609-9192-2024-3-64-69.

4. Knoring LD, Dech VN. Mathematics for geologists: Practical application tips. Leningrad: Nedra; 1989.

5. Cao X, Liu Z, Hu C, Song X, et al. Three-dimensional geological modelling in earth science research: An in-depth review and perspective analysis. Minerals. 2024;14(7):686. DOI: 10.3390/min14070686.

6. Dyczko A. The geological modelling of deposits, production designing and scheduling in the JSW SA Mining Group. Gospodarka Surowcami Mineralnymi – Mineral Resources Management. 2023;39(1):35–62. DOI: 10.24425/gsm.2023.144628.

7. Coal resources of Russia. Vol. 5, Book 2: Coal basins and deposits of the Russian Far East (Republic of Sakha, Northeast, Sakhalin Island, Kamchatka Peninsula). Moscow: Geoinform-Mark; 2024:640.

8. Malinin YuA, Grib NN. Data on the physical and mechanical properties and lithological differences of overburden rocks at the Elginskoye deposit [Database]. Certificate of state registration of the database No. 2018621148 Russian Federation. Published on 25 July 2018. Bulletin No. 8.

9. Høyer AS, Sandersen PBE, Andersen LT, et al. Evaluating the chain of uncertainties in the 3D geological modelling workflow. Engineering Geology. 2024;343:107792. DOI: 10.1016/j.enggeo.2024.107792.

10. Grib NN, Kuznetsov PYu, Tereshchenko MV, et al. Modeling spatial variability of physical and mechanical properties of rock mass. Tendentsii razvitiya nauki i obrazovaniya. 2018;(44–5):90–96 (in Russian). DOI: 10.18411/lj-11-2018-139.

11. Skomoroshko YuN, Grib NN, Kuznetsov PYu. Classification of coal-bearing rocks at the Elginskoye deposit according to a comprehensive stability parameter. Uspekhi sovremennogo estestvoznaniya. 2017;(6):90– 95. (in Russian).

12. Grib NN, Samokhin AV. Physical and Mechanical Properties of Carbon-Bearing Rocks in the South Yakutsk Basin. Novosibirsk: Nauka; 1999 (in Russian).