Журналы →  Eurasian Mining →  2020 →  №2 →  Назад

Название Seismic productivity of blasts: A case-study of the Khibiny Massif
DOI 10.17580/em.2020.02.04
Автор Baranov S. V., Zhukova S. A., Korchak P. A., Shebalin P. N.
Информация об авторе

Kola Branch, Geophysical Service of the Russian Academy of Sciences, Apatity, Russia:

Baranov S. V., Leading Researcher, Doctor of Physical and Mathematical Sciences, e-mail: bars.vl@gmail.com


Mining Institute, Kola Science Center, Russian Academy of Sciences, Apatity, Russia:
Zhukova S. A., Senior Researcher, Candidate of Engineering Sciences


Apatit’s Kirovsk Branch, Kirovsk, Russia:
Korchak P. A., Head of Rockburst Prediction and Prevention Service


Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Academy of Sciences, Moscow, Russia:
Shebalin P. N., Corresponding Member of the Russian Academy of Sciences, Doctor of Physical and Mathematical Sciences, Director


The authors study the property of production-scale blasts to induce seismic events classified as micro shocks, rock bursts and earthquakes caused by sudden slips along faults. The study area is the production performance zone of Apatit’s Kirovsk Branch. It is situated in the southeast of the Khibiny Massif on the Kola Peninsula and is subjected to continuous autonomous seismicity monitoring. The subject of the research is the production blasts and seismic events recorded by the seismic monitoring station of Apatit’s Kirovsk Branch between January 1996 and June 2019. Blasting-induced seismic events were identified using the nearest neighbor method and the seismicity-dependent proximity function of the space–time–magnitude (energy), calculated with respect to the blasts. The threshold of the proximity function to assume a seismic event as the blast-induced event was selected using the model-independent method of seismic catalog randomization. It is shown that the number of blasting-induced seismic events—blasting productivity—obeys an exponential distribution irrespective of magnitudes or occurrence depths of the studied events. The obtained result conforms with the earlier determined productivity law for natural earthquakes on a global and regional scale, as well as for mining-induced seismicity in the Khibiny Massif. Accordingly, the productivity distribution is governed by the properties of a medium and is independent of the source mechanism of a triggering event (explosion, seismicity).

The paper presents the research findings supported by the Russian Foundation for Basic Research, Project No. 19-05-00812, and in the framework of State Contract No. 007-00186-18-00 with the Kola Branch of the Geophysical Service of the Russian Academy of Sciences.

Ключевые слова Production blasts, triggers, seismic events, productivity, exponential distribution, Khibiny Massif
Библиографический список

1. Kozyrev A. A., Semenova I. E., Rybin V. V., Panin V. I., Fedotova Yu. V. Guidelines for safe mining in the conditions of rockburst hazard (Khibiny apatite–nepheline ore bodies). Apatity : Apatit-Media, 2016. 112 p.
2. Adushkin V. V. Blasting-induced seismicity in the European part of Russia. Izvestiya. Physics of the Solid Earth. 2013. Vol. 2. pp. 110–130.
3. Adushkin V. V., Kocharyan G. G., Sanina I. A. Contribution of blasting to regional seismicity and deformation. Doklady Akademii nauk. 2011. Vol. 441. No. 1. pp. 92–94.
4. Spivak A. A., Khazins V. M. Variation in fracture zone rigidity by dynamic effects. Doklady Earth Sciences. 2013. Vol. 449, Iss. 1, pp. 97–100.
5. Kurlenya M. V., Mirenkov V. E., Serdyukov S. V. An outlook for the stress–strain origin and induced dynamic events in the subsoil. GIAB. 2008. No. 8. pp. 5–20.
6. Plenkers K., Kwiatek G., Nakatani M., Dresen G. Observation of seismic events with frequencies F>25 kHz at Mponeng Deep Gold Mine, South Africa. Seismological Research Letters. 2010. Vol. 81, Iss 3. pp. 467–479.
7. Woodward K., Wesseloo J. Observed spatial and temporal behaviour of seismic rock mass response to blasting. Journal of the Southern African Institute of Mining and Metallurgy. 2015. Vol. 115, Iss. 11. pp. 1045–1056.
8. Kozyrev A. A., Semenova I. E., Zhuravleva O. G., Panteleev A. B. Hypothesis of strong seismic event origin in Rasvumchorr mine on January 9, 2018. Mining Informational and Analytical Bulletin. 2018. Vol. 12. pp. 74–83.
9. Caputa A., Rudziński L. Source analysis of post-blasting events recorded in deep copper mine, Poland. Pure and Applied Geophysics. 2019. Vol. 176, Iss. 8. pp. 3451–3466.
10. Vallejos J. A., McKinnon S. D. Omori’s law applied to mininginduced seismicity and re-entry protocol development. Pure and Applied Geophysics. 2009. Vol. 167, Iss. 1. pp. 91–106.
11. Vallejos J. A., McKinnon S. D. Seismic parameters of mininginduced aftershock sequences for re-entry protocol development. Pure and Applied Geophysics. 2018. Vol. 175, Iss. 3. pp. 793–811.
12. Shebalin P. N., Baranov S. V. Forecasting aftershock activity: 5. Estimating the duration of a hazardous period. Izvestiya, Physics of the solid Earth. 2019. Vol. 55, Iss. 5. pp. 719–732.
13. Baranov S. V., Shebalin P. N. Post-seismic processes and risk prediction of strong after-shocks. Moscow : RAN, 2019. 218 p.
14. Baranov S. V., Zhukova S. A., Korchak P. A., Shebalin P. N. Productivity of mining-induced seismicity. Izvestiya, Physics of the Solid Earth. 2020. Vol. 3. pp. 326–336.
15. Arzamastsev A. A., Arzamastseva L. V., Zhirova A. M., Glaznev V. N. Model of formation of the Khibiny–Lovozero orebearing volcanic-plutonic complex. Geology of Ore Deposits. 2013. Vol. 55, Iss. 5. pp. 341–356.
16. Rautian T. G. The energy of earthquakes. Methods of detailed study of seismicity. Moscow : AN SSSR, 1960. pp. 75–114.
17. Zaliapin I., Ben-Zion Y. A global classification and characterization of earthquake clusters. Geophysical Journal International. 2016. Vol. 207. pp. 608–634.
18. Baiesi M., Paczuski M. Scale-free networks of earthquakes and aftershocks. Physical Review. 2004. Vol. 69, Iss. 6. DOI: 10.1103/PhysRevE.69.066106
19. Bayliss K., Naylor M., Main I. G. Probabilistic identification of earthquake clusters using rescaled nearest neighbor distance networks. Geophysical Journal International. 2019. Vol. 217, Iss. 1. pp. 487–503.
20. Kagan Y. Y., Knopoff L. Stochastic synthesis of earthquake catalogs. Journal of Geophysical Research: Solid Earth. 1981. Vol. 86. DOI: 10.1029/JB086iB04p02853
21. Ogata Y. Statistical models for standard seismicity and detection of anomalies by residual analysis. Tectonophysics. 1989. Vol. 169. pp. 159–174.
22. Helmstetter A. Sornette D. Subcritical and supercritical regimes in epidemic models of earthquake aftershocks. Journal of Geophysical Research: Solid Earth. 2002. Vol. 107. DOI: 10.1029/2001JB001580
23. Melnikov N. N. (Ed.). Seismicity in mining. Apatity : KolNTS RAN, 2002. 325 p.
24. Shcherbakov R., Zhuang J., and Ogata Y. Constraining the magnitude of the largest event in a foreshock-main shockaftershock sequence. Geophysical Journal International. 2018. Vol. 212. DOI: 10.1093/gji/ggx407

Полный текст статьи Seismic productivity of blasts: A case-study of the Khibiny Massif