Journals →  Gornyi Zhurnal →  2022 →  #6 →  Back

ArticleName Computer-aided tactical mine planning
DOI 10.17580/gzh.2022.06.03
ArticleAuthor Melnikov V. M., Cherkashin V. V., Lebedev A. G.

Lebedinsky GOK, Gubkin, Russia:

V. M. Melnikov, Chief Miner,
V. V. Cherkashin, Leading Tactical Planning Specialist


Dassault Systèmes, Moscow, Russia:
A. G. Lebedev, Leading Mining Engineer


The mining industry plays ‘first violin’ in the Russian economy. The software-managed mining and geology information systems enjoy wide-scale introduction and application these days. The technological innovations enable increased profitability and productivity in the mining industry, as well as the situation analysis and risk prediction over the whole service life of mines. This article discusses the experience of the mining and geology information system transformation at Lebedinsky GOK. The yearly and monthly mine planning procedures are described. The major value of GEOVIA products is the variability of mine planning scenarios toward the prompt managerial decisionmaking on open pit mining expansion. Furthermore, GEOVIA software products allow cutting-down the medium- and long-term mine planning time. Planning implementation requires both reliable and up-to-date data. The obligatory criterion of the decision-making promptness is the real-time information at all hours. To this effect, the either-direction integration of Modular Mining Systems, Automated Data Acquisition and Transfer System (ADAT) Kobus and GEOVIA Surpac has been accomplished, which enables using the actual data flow (locations of excavators, dump trucks and drill rigs, drilled and project boreholes) in the real-time mine planning and design process. Aimed to maintain competitive ability for a long time, a mining company should pursue continuous finding and introduction of technological innovations. Earlier the ‘manual and blind’ mine planning process took colossal labor costs and could run into a dead-end. For the avoidance of all these troubles, Metalloinvest has entered into an advanced software introduction contract with Dassault Systemes.

keywords Scheduling, software, mining scenario, extraction blocks, block model, fluent planning, target performance

1. Vasilev I. D., Kotov A. A. Introduction of mining and geology information systems GEOVIA in mines. Globus. 2016. No. 1(40). pp. 62–65.
2. Sultanova Zh. K., Shvets I. Ya., Fateev A. V. Flexibility governs success. Dassault Systèmes, 2020. Available at: (accessed: 15.04.2022).
3. Batalov V. A., Donichev A. V., Mitrofanov E. A. Application of geological mining computer technology for reserve estimation and mine planning. Gornyi Zhurnal. 2013. No. 8-2. pp. 61–63.
4. Cherednikov O. V., Bodalov V. E. The automated system of engineer support of mining works. Gornyi Zhurnal. 2010. No. 6. pp. 93–96.
5. Nagovitsin O. V., Lukichev S. V., Alisov A. Yu. Organization of automation means of engineering support in the conduct of open mining works. GIAB. 2012. No. 9. pp. 32–40.
6. Vasilev I. D., Shmonov A. M. Use of level-by-level plans in block modeling. Globus. 2014. No. 2(31). pp. 60–61.
7. Nazarenko N. V., Sholokh S. N. Open pit mining planning using geoinformation technologies. Metallurgical and Mining Industry. 2016. No. 4. pp. 87–92.
8. Digital Economy of the Russian Federation. Ministry of Digital Development, Communications and Mass Media of the Russian Federation, 2022. Available at: (accessed: 19.04.2022).
9. Zenkov I. V., Morin A. S., Vokin V. N., Kiryushina E. V. Remote sensing of mining and haulage equipment arrangement in Russia: A case-study of the coal and iron ore industry. Eurasian Mining. 2020. No. 2. pp. 46–49. DOI: 10.17580/em.2020.02.11
10. Kaizong Xia, Congxin Chen, Yangyang Deng, Guofeng Xiao, Yun Zheng et al. In situ monitoring and analysis of the mining-induced deep ground movement in a metal mine. International Journal of Rock Mechanics and Mining Sciences. 2018. Vol. 109. pp. 32–51.
11. Liming Lu. Iron Ore: Mineralogy, Processing and Environmental Sustainability. Woodhead Publishing Series in Metals and Surface Engineering. 2nd ed. Cambridge : Woodhead Publishing, 2022. 822 p.
12. Feng S., Ding E. Designing top layer in Internet of Things for underground mines. Mining Goes Digital : Proceedings of the 39th International Symposium on Application of Computers and Operations Research in the Mineral Industry. Proceedings in Earth and Geosciences Series. London : Taylor & Francis Group, 2019. Vol. 3. pp. 695–702.
13. Xia-Ting Feng, Jian po Liu, Bingrui Chen, Yaxun Xiao, Guangliang Feng et al. Monitoring, Warning, and Control of Rockburst in Deep Metal Mines. Engineering. 2017. Vol. 3, Iss. 4. pp. 538–545.
14. Shvets I. Ya. All roads lead to MineSched. Gornyi Zhurnal. 2012. No. 5. pp. 84–85.
15. Ignatov Yu. M. Geoinformation systems in mining : Tutorial. Kemerovo : KuzGTU, 2012. 205 p.
16. Lukichev S. V., Nagovitsyn O. V. Computer technology of engineering support of mining operations during development of deposits of hard mineral resources. Gornyi Zhurnal. 2010. No. 9. pp. 11–15.
17. Digital transformation in the mining industry. Dassault Systèmes Russia, 2021. Available at: (accessed: 15.04.2022).
18. Advanced software programs of MODULAR MINING for the mining equipment control in open pit mines. Gornaya promyshlennost. 1996. No. 4. p. 46.
19. ADAT KOBUS. Blast Maker. Available at: (accessed: 15.04.2022).

Language of full-text russian
Full content Buy