Software package for data processing in microseismic monitoring in mineral mining

An important source of information on rock mass condition is seismic radiation of geodynamic events. One of the technologies to record and study seismic signals is microseismic monitoring (MM). It is possible to perform microseismic monitoring in operating mines but the data feature a high noise in this case. The noise affects the accuracy of parameters of seismic events and, as a consequence, the data interpretation quality. For this reason, it is required to create the noise-immune systems for the MM data processing. This article presents a software package meant to process MM data on geodynamic events in the course of mineral mining. The processing package uses the authorial methods of amplification of useful signals and suppression of noise waves. The article offers a brief description of functions of each module in the package and the numerical algorithms. The software package testing is described as a case-study of processing of the synthetic and field data. The developed software package allows the improved accuracy of the event identification in the problems connected with location of seismic sources with different focal mechanisms at a low signal/noise ratio. The capacity of the software package to identify events within an assigned geological medium while suppressing all signals from the sources outside this medium is illustrated.

Azarov A. V., Serdyukov A. S. Software package for data processing in microseismic monitoring in mineral mining. MIAB. Mining Inf. Anal. Bull. 2023;(2):58-71. [In Russ]. DOI: 10.25018/0236_1493_2023_2_0_58.

The study was supported by the Russian Science Foundation, Project No. 20-77-10023.

A.V. Azarov, Researcher, Chinakal Institute of Mining of Siberian Branch of Russian Academy of Sciences, 630091, Novosibirsk, Russia, e-mail: antonazv@mail.ru, ORCID ID: 0000-0001-6967-4239,
A.S. Serdyukov, Cand. Sci. (Phys. Mathem.), Senior Researcher, Trofimuk Institute of Petroleum Geology and Geophysics of Siberian, Siberian Branch of Russian Academy of Sciences, 630090, Novosibirsk, Russia, e-mail: aleksanderserdyukov@ya.ru, ORCID ID: 0000-0035-8563-5708.

A.S. Serdyukov, e-mail: aleksanderserdyukov@ya.ru.

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