Seismic information processing algorithms

The seismic information processing methods in mine geomonitoring systems are reviewed. Geomonitoring is effectively used in coal mines in USA, Canada, South Africa, Great Britain, Australia and many other countries. Implementation and operation of geomonitoring systems in mines in Kuzbass, Vorkuta, Norilsk and Tashtagol used equipment of Russian and foreign manufacture (GITS, RELLS, ISS, ASKM, Prognoz-ADS etc.). Processing and effective interpretation of seismic data can use: cluster analysis, neural networks, system-analysis and synthesis toward synergistic effect, multilevel hierarchy, complexing of seismic monitoring with deformation, geodetic and electrophysical observations and crossborehole tomography, spectral analysis of seismograms, tuning-out of background effects at weak signals and pendulum wave studies. The main characteristics of the geodynamic behavior of rock mass are the coordinates of a seismic signal source, the intensity of seismic activity and the energy of seismic event. The developed algorithms of the seismic event source location are based on the cyclic selection of the coordinates of a reference point by minimizing the value of difference between the actual and theoretical delays of seismic wave arrivals and by minimizing the objective function by the adaptive random search using the random number generator (Monte-Carlo method). The integrated characteristic of seismic activity in rock mass is proposed to be the index F which integrates the ratio of current and background energies of a seismic event and the total seismic activity in the estimated period of time. The factor analysis determines the F index as function of: the linear size of 3D analysis matrix representing real-life rock mass; the increment in this linear size; the time interval.

Keywords: seismic monitoring, source location, seismic event energy, seismic activity, geodynamic behavior of rock mass, cyclic algorithm, adaptive random search, objective function minimization, factor analysis.
For citation:

Razumov E. E., Prostov S. M., Mulev S. N., Rukavishnikov G. D. Seismic information processing algorithms. MIAB. Mining Inf. Anal. Bull. 2022;(2):17-29. [In Russ]. DOI: 10.25018/0236_1493_2022_2_0_17.

Issue number: 2
Year: 2022
Page number: 17-29
ISBN: 0236-1493
UDK: 550.34.01
DOI: 10.25018/0236_1493_2022_2_0_17
Article receipt date: 09.03.2021
Date of review receipt: 18.11.2021
Date of the editorial board′s decision on the article′s publishing: 10.01.2022
About authors:

E.E. Razumov1,2, Assistant, Researcher, e-mail:, ORCID ID: 0000-0002-3696-8553,
S.M. Prostov1, Dr. Sci. (Eng.), Professor, e-mail:, ORCID ID: 0000-0003-0780-2690,
S.N. Mulev2, Director of Science, e-mail:,
G.D. Rukavishnikov2, Head of Geodynamic Monitoring Center, e-mail:, ORCID ID: 0000-0001-8228-2870,
1 T. Gorbachev Kuzbass State Technical University, 650000, Kemerovo, Russia,
2 Research Institute of Mining Geomechanics & Mine Surveying (VNIMI), 199106, Saint-Petersburg, Russia.


For contacts:

E.E. Razumov, e-mail:


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