Dynamic phenomena prevention management in mines of SUEK-Kuzbass

Abstract

The article presents information on coal seams which are hazardous and susceptible to dynamic phenomena in mines of SUEK-Kuzbass. The current geomechanical and geophysical methods used to predict dynamic phenomena, the associated problems and the potential ways of their solutions are described. The geomechanical approach to rockburst prediction uses the analysis of yield of chippings. Coal and gas outbursts are predicted based on the initial gas emission rate in drilling. The geophysical method used to predict dynamic phenomena is based on the parameters of artificial acoustic signals from SAKSM stationary facilities. When no rockburst prediction is implemented based on the artificial acoustic signal parameters for some reasons, the forecast is carried out using portable equipment ANGEL–M. This study focuses on the improvement of the method of the artificial acoustic signal parameters in order to eliminate complications of the dynamic phenomenon hazard assessment. The first circumstance is the dependence of the hazard indicator on the spacing of the geophone and the acoustic signal source. The engineering and managerial decisions discussed in this article enable maintenance of the constant spacing at an allowable error. The second circumstance is that the hazard criterion is determined as a sum of averaged hazard indicator after not less than 30 cycles of heading and two–three values of standard deviations from the average. Such criterion fails to image actual hazard. For this reason, it is planned to check the hazard criterion procedure based on the discussed approach and on the geomechanical method which has a specified hazard criterion value from regulating documents. The third circumstance is the neglect of the gas criterion as the formation gas pressure has almost zero influence on the parameters of artificial acoustic signals. This circumstance can be avoided using the proposed algorithm of prediction with adjustment of the hazard criterion based on the control data on methane concentration in mine air and on the coal strength.The authors are grateful to SUEK-Kuzbass for the information provided under the cooperation agreement with Federal Research Center for Coal and Coal Chemistry, Siberian Branch, Russian Academy of Sciences.The study was supported by the Russian Science Foundation, Project No. 17-17-01143.