ООО «Майкромайн Рус», Москва, Россия:

Федотов Г. С., руководитель Департамента по работе с учебными заведениями и методическому обеспечению, канд. техн. наук, grigoriyfedotov.s@gmail.com
Курцев Б. В., генеральный директор

НИЦ «Прикладная геомеханика и конвергентные горные технологии» Горного института НИТУ «МИСиС», Москва, Россия:
Янбеков А. М., инженер научного проекта
Умаров А. Р., инженер научного проекта, аспирант

Рассмотрено создание геомеханической модели участка недр в месте заложения Северомуйского тоннеля в горно-геологической информационной системе Micromine Origin & Beyond. Представлены этапы моделирования и описание каждого из них. Приведена информация об исходных данных для построения модели, а также о процессе их импорта в программу. Описана методика расчета геомеханических показателей для построения модели.

1. Melnikova V. I., Gileva N. A., Seredkina A. I. New data on seismic activity in the North Muya Region in 2014–2016. Geodynamic Evolution of the Lithosphere in the Central Asia Mobile Belt (Ocean-to-Continent) : Conference Proceedings. Irkutsk : Institut zemnoy kory SO RAN, 2016. Vol. 14. pp. 196–198.
2. Leonov M. G. Consolidated crust tectonics : Geological Institute’s transaction. Moscow : Nauka, 2008. 457 p.
3. Bykova N. M. Severomuysky Tunnel and geodynamics in the Baikal Rift Zone. Uspekhi sovremennogo estestvoznaniya. 2005. No. 9. pp. 69–70.
4. Danilova M. A. Structure and hydrogeology analysis and physicomechanical modeling of formation of underground water in the region of Severomuysky Tunnel of the Baikal–Amur Mainline : Thesis of Dissertation of Candidate of Geologo-Mineralogical Sciences. Irkutsk, 2010. 17 p.
5. Reconstruction of track and drainage–transportation adit of Severomuysky Tunnel, Russian Railways, 2016. Available at: https://global.rzd.ru/projects/view?id=91 (accessed: 15.11.2022).
6. Fedotov G. S., Sapronova N. P. Geological and mining information systems as a tool for digital transformation of production processes in mining companies. Marksheyderya i nedropolzovanie. 2021. No. 4(114). pp. 54–59.
7. Trofimov A. V., Kirkin A. P., Rumyantsev A. E., Yavarov A. V. Use of numerical modelling to determine optimum overcoring parameters in rock stress–strain analysis. Tsvetnye Metally. 2020. No. 12. pp. 22–27. DOI: 10.17580/tsm.2020.12.03
8. Maroufpoor S., Bozorg-Haddad O., Xuefeng Chu. Geostatistics: Principles and methods. Handbook of Probabilistic Models. Cambridge : Butterworth-Heinemann, 2020. pp. 229–242.
9. Zuev B. Yu., Zubov V. P., Fedorov A. S. Application prospects for models of equivalent materials in studies of geomechanical processes in underground mining of solid minerals. Eurasian Mining. 2019. No. 1. pp. 8–12. DOI: 10.17580/em.2019.01.02
10. Sidorov D. V., Potapchuk M. I., Sidlyar A. V. Forecasting rock burst hazard of tectonically disturbed ore massif at the deep horizons of Nikolaevskoe polymetallic deposit. Journal of Mining Institute. 2018. Vol. 234. pp. 604–611.
11. Contreras L.-F., Brown E. T. Slope reliability and back analysis of failure with geotechnical parameters estimated using Bayesian inference. Journal of Rock Mechanics and Geotechnical Engineering. 2019. Vol. 11, Iss. 3. pp. 628–643.
12. Heriyadi B., Prengki I., Prabowo H. Analysis of Collapse Load and Open Hole Evaluation Based on Rock Mass Ratting (RMR) Method in Underground Mining. Journal of Physics: Conference Series. 2019. Vol. 1387. 012104. DOI: 10.1088/1742-6596/1387/1/012104
13. 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
14. Hoek E., Martin C. D. Fracture initiation and propagation in intact rock—A review. Journal of Rock Mechanics and Geotechnical Engineering. 2014. Vol. 6, Iss. 4. pp. 287–300.
15. Hoek E., Carter T. G., Diederichs M. S. Quantification of the Geological Strength Index chart. 47^th US Rock Mechanics / Geomechanics Symposium. San Francisco, 2013.
16. Bar N., Barton N. The Q-Slope Method for Rock Slope Engineering. Rock Mechanics and Rock Engineering. 2017. Vol. 50, Iss. 12. pp. 3307–3322.
17. Barton N., Quadros E. Most Rock Masses are likely to be Anisotropic. Rock Mechanics for Natural Resources and Infrastructure : SBMR 2014–ISRM Specialized Conference. Goiania, 2014.
18. Using the Q-system. Rock Mass classification and support design : Handbook. Revised and new edition. Oslo : NGI, 2022. 56 p.