Norilsk Nickel’s Polar Division, Norilsk, Russia:

M. P. Sergunin, Head of Department for Geotechnical Engineering Supervision of Mining, Center for Geodynamic Safety, SerguninMP@nornik.ru
T. P. Darbinyan, Director of Mining Department
S. Yu. Shilenko, Director of Occupational Health and Safety Department
I. P. Grinchuk, Director of Komsomolsky mine

The article addresses comparatively new approaches in geotechnical enginee ring—DataMiner and Big Data. These approaches enjoy increasingly wide application in industry and will step up as they offer new methods of various problem solving. The authors present a case study of digital surface modeling for a vertical circul ar opening for determination of orientations of principal stresses. The digital surface modeling object is an ore pass in Oktyabrsky mine. The digital surface modeling outputs are the data sets enabling accurate determination of orientations and ratios of principal stresses. Furthermore, these outputs are compared with the available data on rock mass fracturing, stored as faulting frames from 3D geological model of the Oktyabrsky deposit, and with actual Q-index values from Barton’s classification implemented during additional surveying of the test ore pass area. The comparison shows an essential relationship between the final shape of the ore pass and and the 3D geological model data. The agreement is up to 74.4 %. Regarding the Q-system of rock mass quality classification by Barton, the correlation between the ore pass shape and the coefficients Jr, Jn and Ja is also essential and reaches 73.7 %. Such agreement points at a close relationship between the 3D model results and the data obtained in geotechnical boreholes.

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