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ArticleName Application of microseismic monitoring data in prediction of stoping influence zone size: A case-study of Oktyabrsky Mine
DOI 10.17580/gzh.2024.03.05
ArticleAuthor Marysyuk V. P., Trofimov A. V., Andreev A. A., Kolganov A. V.

NorNickel’s Polar Division, Norilsk, Russia

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


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


Empress Catherine II Saint-Petersburg Mining University, Saint-Petersburg, Russia
A. A. Andreev, Head of Projects of Research Center for Geomechanics and Mining Practice Problems
A. V. Kolganov, Post-Graduate Student


The problem connected with the determination of size of a stoping influence zone is highly relevant in mining if operating safety depends on integrity of overlying rock mass. For mining operations under water-bearing objects, where integrity of the impermeable strata is a key safety factor, as well as when ore bodies occur in the close vicinity to the ground infrastructure facilities and it is necessary to ensure safety of buildings and structures, the mentioned issue is also burning. There is an ample experience accumulated in the field of the influence zone size determination in coal mining with compete caving of mined-out space using the finite and discrete element methods and the empirical approaches. However, in the conditions of Oktyabrsky Mine, which uses the cut-and-backfill method, predictions based on the approaches and experience gained in the other geological conditions may yield irrational results. As an alternative for the prediction of the stoping influence zone size in Oktyabrsky Mine, the calculation method using the data of regional rockburst hazard prediction by microseismic monitoring is implemented, and the most representative characteristics of seismic activity above a mined-out area of cupriferous iron ore strata are selected. Using these data, the relationship of the stoping influence zone size and the ore body thickness is obtained.
The authors appreciate participation of E. V. Rodionova and M. V. Tereshchenko, staff members of NorNickel’s Polar Division in this study.

keywords Microseismic monitoring, fracturing, stoping influence zone, interpolation, geostatistics, kriging, minimum curvature method, Gaussian model

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