Mining Institute, Perm Federal Research Center, Ural Branch, Russian Academy of Sciences, Perm, Russia:

D. Yu. Shulakov, Head of Laboratory, Candidate of Engineering Sciences, shulakov@mi-perm.ru
P. G. Butyrin, Researcher, Candidate of Engineering Sciences
A. V. Verkholantsev, Leading Engineer

The article describes the system of seismological monitoring in the territory of the Upper Kama Potash Deposit. The structure of monitoring networks involved in the integrated observations in all operating mines is presented and their capabilities are assessed. The monitoring data are used to adjust both actual mining and backfill operations. The high efficiency of the detailed seismic monitoring systems in control over accidental and hazardous mine areas is demonstrated. The high-resolution monitoring enables prompt response to adverse processes and prediction of accident development. Hardware and software of monitoring networks deployed in mines and in local areas are presented. It is shown that the modern digital systems of data acquisition and transmission ensure high resolution, sustainable operation and reliable nearly real-time transmission of seismographic records to a data processing center. Considering the accumulated experience and growing requirements of the Upper Kama Deposit area monitoring, in 20111 it was decided to design a proprietary recorder to be completely meet the specificity of the local observations. Seismic recorder Ermak-5 was designed at the Natural and Induced Seismicity Laboratory of the Mining Institute, UB RAS in 2017. Have analyzed the seismology data on the Upper Kama Potash Deposit for more than 20 years, it is possible to state that the seismological monitoring is a highly informative method. It allows continuous observations (both in time and space) in vast areas, prompt detection of hazardous sites and tracking of geodynamic activity within their limits. The current reequipment of mine monitoring systems with the digital data acquisition and transmission will noticeably improve quality of recording and, consequently, information content of the method.

1. Baryakh A. A., Krasnoshtein A. E., Sanfirov I. A. Mining-caused accidents: Berezniki Potash Mine-1 flooding. Vestnik Permskogo nauchnogo tsentra. 2009. No. 2. pp. 40–49.
2. Dyagilev R. A., Shulakov D. Y., Verkholantsev A. V., Glebov S. V. Seismic monitoring in potash mines: observation results and development aspects. Eurasian Mining. 2013. No. 2. pp. 24–28.
3. Shulakov D. Yu. Algorithm of seismic event detection against the violent noise background. Modern Seismology Data Processing and Interpretation: XI International Seismology School Transactions. Obninsk : FITS EGS RAN. 2016. pp. 375–379.
4. Huang N. E., Shen S. P. Hilbert–Huang Transform and Its Applications. 2^nd ed. Singapore : World Scientific Publishing Co., 2014. 400 p.
5. Baer M., Kradolfer U. An automatic phase picker for local and teleseismic events. Bulletin of the Seismological Society of America. 1987. Vol. 77, No. 4. pp. 1437–1445.
6. Anokhin A. G., Kakoshina L. V., Nagovitsin Yu. N., Tyupkin V. M The 25^th anniversary of the Center for Geodynamic Safety, Norilsk Nickel: Initiation, growth, mission. Gornyi Zhurnal. 2015. No. 6. pp. 23–28. DOI: 10.17580/gzh.2015.06.05
7. Mendecki A. J., Lynch R. A., Malovichko D. A. Routine Seismic Monitoring in Mines. ISS International Ltd., 2007.
8. Rebuli D. B., Goldswain G., Lynch R. A. High quality microseismic monitoring in mines: accelerometers or geophones? 9^th International Symposium on Rockbursts and Seismicity in Mines. Chile, 2017. pp. 23–31.
9. Butyrin P. G. From Seisview to Ermak-5: Introduction experience and functional advantages. Strategies and Processes in Georesources Management : Collection of Scientific Papers. Perm : GI UrO RAN. 2017. Iss. 15. pp. 201–203.
10. Blanco J. R., Menéndez J., Ferrero F. J., Campo J. C., Valledor M. Design of an accurate wireless data logger for vibration analysis with Android interface. Review of Scientific Instruments. 2016. Vol. 87(12).
11. Wang W. D., Jiang S. F., Zhou H. F. Time synchronization for acceleration measurement data of Jiangyin Bridge subjected to a ship collision. Structural Control & Health Monitoring. 2018. Vol. 25, Iss. 1. pp. 1–18.
12. Bruscato L. T., Heimfarth T., de Freitas E. P. Enhancing time synchronization support in wireless sensor networks. Sensors. 2017. Vol. 17, Iss. 12. pp. 1–18.
13. Butyrin P. G., Kichigin M. V. Features of seismological monitoring development at the Upper Kama Potash Deposit. Modern Seismology Data Processing and Interpretation: XI International Seismology School Transactions. Obninsk : FITS EGS RAN. 2016. pp. 71–74.