MICROMINE Russia, Moscow, Russia:

B. V. Kurtsev, CEO, bkurtsev@micromine.com
G. S. Fedotov, Head of the Department for Cooperation with Educational Institutions and Methodical Support, Candidate of Engineering Sciences

Higher production performance in the mining industry increasingly stronger depends on the level of digitalization both at individual business units and at their holdings. That is why more and more solid mineral mining companies operating in the territory of the Russian Federation recently lay emphasis on introduction of the advanced information technologies such as mining and geological information systems (MGIS), database management systems, automated production control, etc. This article discusses feasibility of 3D geomechanical block modeling of solid mineral deposits in MGIS Micromine. The process of data preparation for the modeling and the functions of the data pre-analysis system using various statistical graphs to identify approaches and methods of modeling are described. The stages of construction of a geomechanical block model are listed. The results of each stage of modeling in Micromine are illustrated. In this manner, a flexible MGIS enables solving classic problems of mining practices and ensures geomechanical supervision of mining operations. Geomechanical modeling allows enhancement of mining safety and efficiency owing to reduction in geomechanical and geotechnical risks. Geomechanical models permit continuous updating as new data arrive, without total reconstruction, owing to application of various automation facilities implemented in MGIS (scripts and macros), which allows a mine to have a continuously actual block model.

1. 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 state analysis. Tsvetnye Metally. 2020. No. 12. pp. 22–27. DOI: 10.17580/tsm.2020.12.03
2. 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.
3. Sabyanin G. V., Balandin 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
4. Sergunin M. P., Darbinyan T. P. Identification of rock mass jointing parameters in geological models in modern geoinformation systems (in terms of Micromine). Gornyi Zhurnal. 2020. No. 1. pp. 39–42. DOI: 10.17580/gzh.2020.01.07
5. Biryuchev I. V., Makarov A. B., Usov A. A. Geomechanical model of underground mine. Part I. Creation. Gornyi Zhurnal. 2020. No. 1. pp. 42–48. DOI: 10.17580/gzh.2020.01.08
6. Hartwig M. E. Detection of mine slope motions in Brazil as revealed by satellite radar interferogr ams. Bulletin of Engineering Geology and the Environment. 2016. Vol. 75, Iss. 2. pp. 605–621.
7. Shan-chao Hu, Yun-liang Tan, Jian-guo Ning, Wei-Yao Guo, Xue-sheng Liu. Multiparameter Monitoring and Prevention of Fault-Slip Rock Burst. Shock and Vibration. 2017. Vol. 2017. ID 7580109. DOI: 10.1155/2017/7580109
8. Barton N., Lien R., Lunde J. Engineering classification of rock masses for the design of tunnel suppor. Rock Mechanics and Rock Engineering. 1974. Vol. 6, Iss. 4. pp. 189–236.
9. Barton N. Application of Q-system and index tests to estimate shear strength and deformability of rock masses. Workshop on Norwegian Method of Tunneling. New Delhi, 1993. pp. 66–84.
10. Laubscher D., Guest A., Jakubec J. Guidelines on Caving Mining Methods : The Underlying Concepts. Queensland : The University of Queensland, 2017. 282 p.
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. Using the Q-system. Rock Mass classification and support design : Handbook. Oslo : NGI, 2015. 54 p.
13. 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.
14. Laubscher D. H. A geomechanics classification system for the rating of rock mass in mine design. Journal of the South African Institute of Mining and Metallurgy. 1990. Vol. 90, No. 10. pp. 257–273.