The use of criteria of geodynamic prediction based on seismic monitoring data in coal mining

In this article, the seismic monitoring system GITS in operation in the Osinniki Mine, Raspadskaya PJSC, and the seismic information processing algorithms are described in brief. The energy characteristic of seismic activity in rock mass is an index F including seismic deformation and total seismic activity of rock mass during test time interval. The mathematical modeling of the stress–strain curves is depicted by the contour maps of the vertical stress concentration factor, and the vertical and horizontal displacements in Elbansky-5 coal seam and its roof. The comparison of the mathematical modeling and seismic monitoring results revealed a correlation between the vertical stress concentration factor in the seam roof and the integrated seismic parameter. In this case, it is the use of the integral parameters which improves the analysis information content by 1.5–2.5 times. In the capacity of the second geomechanical parameter as a characteristic of hazard of a dynamic event, it is proposed to use the distance from an exposed rock surface to a maximum point of an informative parameter. Based on the integrated experimental and analytical research results, the nomograms are developed for the geodynamic prediction using geophysical and geomechanical parameters. In terms of the Osinniki Mine, the hazard–nonhazard boundary is described by an exponential function, and the ranges of values involved are as follows: integrated seismic parameter—30–680 units; integral index of integrated seismic parameter—25–138 units; exposed surface–maximum point distance—5.0–37.0 m.

Razumov E. E., Prostov S. M., Petrova O. A. The use of criteria of geodynamic prediction based on seismic monitoring data in coal mining. MIAB. Mining Inf. Anal. Bull. 2024;(11):139-151. [In Russ]. DOI: 10.25018/0236_1493_2024_11_0_139.

E.E. Razumov¹, Graduate Student; Senior Researcher, e-mail: razumov@vnimi.ru, JSC Scientific Research Institute of Mining Geomechanics and Surveying — VNIMI Interdisciplinary Research Center, Saint-Petersburg, Russia,
S.M. Prostov¹, Dr. Sci. (Eng.), Professor, e-mail: psm.kem@mail.ru, 
O.A. Petrova, Cand. Sci. (Eng.), Assistant Professor, Siberian State Industrial University, 654007, Novokuznetsk, Russia, e-mail: ol_petrova@mail.ru,
¹ T. Gorbachev Kuzbass State Technical University, 650000, Kemerovo, Russia.

E.E. Razumov, e-mail: razumov@vnimi.ru.

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