Spatiotemporal Analysis of Induced Seismicity at Rockburst-Hazardous Mineral Deposits
A. I. Konurin, D. V. Orlov
Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
Keywords: Rock bursts, large-scale blasts, seismic monitoring, cluster analysis, machine learning, geodynamic risks, blasting operations, stress-strain behavior
Abstract
The analysis of 10 years-long seismic monitoring data at the Sheregesh deposit revealed the spatiotemporal patterns in the blasting-induced seismicity. Response of rock mass to blasting features a high spatial nonuniformity conditioned by geological medium anisotropy and tectonic faulting. The use of the k-means algorithm enables segmenting rock mass into process zones and allows identifying stress concentration areas. The cluster-specific time patterns in seismic response are confirmed, and the median time of delay in activation of post-blasting shocks varies in different zones. It is proved that the correlation dependence between the blasting energy and the post-blasting shock parameters is statistically insignificant, which highlights prevalence of the local geomechanics influence over the external effect. It is found that each blast induces 9.4 aftershocks on the average, at a high standard deviation, which proves variability of rock mass response. The research findings are of current interest in mining practices at rockburst-hazardous deposits in the conditions of complex geology and high tectonics.
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