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ArticleName Methodology of geomechanical block modeling of rock mass in Taimyrsky Mine field
DOI 10.17580/gzh.2022.10.06
ArticleAuthor Marysyuk V. P., Sabyanin G. V., Trofimov A. V., Kolganov A. V.

Norilsk Nickel’s Polar Division, Norilsk, Russia:

V. P. Marysyuk, Chief Geotechnical Engineer – Director of Center for Geodynamic Safety, Candidate of Engineering Sciences,

Norilsk Nickel, Moscow, Russia:
G. V. Sabyanin, Head of Mining and Processing Management at Production and Engineering Department, Candidate of Engineering Sciences


Gipronickel Institute, Saint-Petersburg, Russia:
A. V. Trofimov, Head of Geotechnique Laboratory, Candidate of Engineering Sciences


Saint-Petersburg Mining University, Saint-Petersburg, Russia:
A. V. Kolganov, Post-Graduate Student


High-quality geomechanics research counts for much regarding two critical factors in mineral mining—safety and efficiency. The Mining Geology Information Systems enable detecting structural features in rock mass to be taken into account in mine planning and operation, which minimizes risks and, as a consequence, enhances efficiency of mining. The article describes a methodology of constructing a geomechanical block model of the Taimyrsky Mine field, Norilsk Nickel’s Polar Division. The block modeling was implemented in MGIS software Micromine. The source data analyses used the empirical, statistical and analytical methods of verification, the structural domains were determined using the CUSUM method, the data were geostatistically interpolated to the geomechanical block model, and the results were verified. The geomechanical block modeling methodology for the Taimyrsky Mine field provides highly reliable processing of source data before modeling, localization of highly fractured zones in rock mass and detection of consistent areas. Ordinary kriging makes it possible to image the patterns of changes in rock mass parameters in the block model. In its turn, the geomechanical block model fosters the real-time assessment of the rock mass behavior, the prompt adjustment of location of underground excavations, as well as the choice and design of mine support systems for permanent, development and breakage headings based on the rock mass quality rating systems.

keywords Geomechanical block model, data base, statistical analysis, physical and mechanical properties, rating systems, jointing, validation, kriging, variogram

1. Fedyanin A. S. Production and technical risk assessment and management strategy in the mining industry. Gornyi Zhurnal. 2022. No. 1. pp. 11–15. DOI: 10.17580/gzh.2022.01.02
2. Jian-guo Li, Kai Zhan. Intelligent Mining Technology for an Underground Metal Mine Based on Unmanned Equipment. Engineering. 2018. Vol. 4, Iss. 3. pp. 381–391.
3. Fedotov G. S., Sapronova N. P. Geological and mining information systems as a tool for digital transformation of production processes in mining companies. Marksheyderiya i nedropolzovanie. 2021. No. 4(114). pp. 54–59.
4. Eremenko V. A., Aynbinder I. I., Patskevich P. G., Babkin E. A. Assessment of the state of rocks in underground mines at the Polar Division of Norilsk Nickel. GIAB. 2017. No. 1. pp. 5–17.
5. Sabyanin G. V., B alandin V. V., Trofimov A. V., Kuzmin S. V. Geomechanical survey procedure for Oktyabrsky mine. Gornyi Zhurnal. 2020. No. 6. pp. 11–16. DOI: 10.17580/gzh.2020.06.01
6. Rock Mass Quality Assessment Regulations for Mines of Norilsk Nickel’s Polar Division. Norilsk, 2018.
7. Ömer Aydan, Takashi Ito, Ugur Ö zbay, Kwasniewski M., Shariar K. et al. ISRM Suggested Methods for Determining the Creep Characteristics of Rock. The ISRM Suggested Methods for Rock Characterization, Testing and Monitoring: 2007–2014. Cham : Springer, 2013. pp. 115–130.
8. Barton N., Lien R., Lunde J. Engineering Classification of Rock Masses for the Design of Tunnel Support. Rock Mechanics. 1974. Vol. 6, Iss. 4. pp. 189–236.
9. Bieniawski Z. T. Classification of Rock Masses for Engineering: The RMR System and Future Trends. Comprehensive Rock Engineering: Principles, Pract ice and Projects. Oxford : Pergamon Press, 1993. Vol. 3. Rock Testing and Site Characterization. pp. 553–573.
10. Palmstrom A. Measurements of and correlations between block size and rock quality designation (RQD). Tunnelling and Underground Space Technology. 2005. Vol. 20, Iss. 4. pp. 362–377.
11. Read J., Stacey P. Guidelines for open pit slope design. Collingwood : CSIRO Publishing, 2009. 487 p.
12. Bewick R. P., Amann F., Kaiser P. K., Martin C. D. Interpretation of UCS Test Results for Engineering Design. The 13th ISRM International Congress of Rock Mechanics. Montreal, 2015.
13. Maroufpoor S., Bozorg- Haddad O., Xuefeng Chu. Geostatistics: principles and methods. Handbook of Probabilistic Models. Cambridge : Butterworth-Heinemann, 2020. pp. 229–242.
14. Kring K., Chatterjee S. Uncertainty quantification of structural and geotechnical parameter by geostatistical s imulations applied to a stability analysis case study with limited exploration data. International Journal of Rock Mechanics and Mining Sciences. 2020. Vol. 125. 104157. DOI: 10.1016/j.ijrmms.2019.104157
15. Kurtsev B. V., Fedotov G. S. MICROMINE-based geomechanical supervision of mining. Gornyi Zhurnal. 2022. No. 1. pp. 45–50. DOI: 10.17580/gzh.2022.01.08
16. Shurygin D. N., Kalinchenko V. M., Shutkova V. V. Interpolation error estimation considering geological space hetero geneity. GIAB. 2018. No. 5. pp. 113–121.
17. Zuev B. Yu., Zubov V. P., Fedorov A. S. Application prospects for models of equivalent materials in studies of geomechanical processe s in underground mining of solid minerals. Eurasian Mining. 2019. No. 1. pp. 8–12. DOI: 10.17580/em.2019.01.02
18. Zuev B. Yu., Zubov V. P., Smychnik A. D. Determination of static and dynamic stresses in physical models of layered and block rock masses. Gornyi Zhurnal. 2019. No. 7. pp. 61–66. DOI: 10.17580/gzh.2019.07.02
19. Quang Phuc Le, Tien Dung Le, Duc Thang Pham, Anh Tuan Nguyen. Strata movement when extracting thick and gently inclined coal seam from a physical modelling analysis: A case study of Khe Cham Basin, Vietnam. Ustoychivoe razvitie gornykh territoriy. 2019. Vol. 11, No. 4(42). pp. 561–567.

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