Application of digital geomechanical twins to predict and assess risks of reserve loss in ore mining projects

Читать на русскоя языкеD.V. Sidorov1, T.V. Ponomarenko2
1 Polygor LLC, Saint Petersburg, Russian Federation
2 Saint Petersburg Mining University, Saint Petersburg, Russian Federation

Russian Mining Industry №3 / 2022 р. 112-117

Abstract: Challenges in mining of ore deposits associated with great depths and increasing mining, geological and engineering risks make the design decisions significantly more complicated and reduce the efficiency of mining operations. The article provides a brief description of the research methods employed by specialists from the Polygore Company and Saint Petersburg Mining University. Results are presented of studying the tectonically stressed state and the geodynamically hazardous zones, or risk zones, in the mining of ore deposits. The stress-and-strain state of the natural stress field was determined using the PRESS 3D URAL dedicated software. Studies to ensure geodynamic safety were carried out based on a 3D geodynamic model and using three types of models, i.e. the block (geological and structural), geodynamic and mining-geodynamic model of the deposit (mine field or its segment). The results obtained allow making a conclusion about viability of applying analytical methods to calculate the stressed state of blocky rock mass and, in particular, application of the PRESS 3D URAL dedicated software as a digital geomechanical twin, as well as the need to continue and expand research activities in this direction to enhance safety of mining operations.

Keywords: risks, geodynamic safety, tectonically stressed state, digital twin, geomechanical twin, digital model

Acknowledgments: The research was financially supported by the Russian Foundation for Basic Research and the Ministry of Education, Culture, Science and Sports of Mongolia under Research Project No. 19-510-44013\21

For citation: Sidorov D.V., Ponomarenko T.V. Application of digital geomechanical twins to predict and assess risks of reserve loss in ore mining projects. Russian Mining Industry. 2022;(3):112–117.

Article info

Received: 29.05.2022

Revised: 18.06.2022

Accepted: 20.06.2022

Information about the authors

Dmitry V. Sidorov – Dr. Sci. (Eng.), Full-fledged member of the Russian Academy of Mining Sciences, Deputy Director General for Research, Polygor LLC, Saint Petersburg, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Tatyana V. Ponomarenko – Dr. Sci. (Econ.), Professor, Deputy Head of the Organization and Management Department, Saint Petersburg Mining University, Saint Petersburg, Russian Federation


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