DOI number:10.1007/s00603-021-02597-7
Journal:Rock Mechanics and Rock Engineering
Key Words:Detection probability, Seismic analysis, Seismic monitoring, Magnitude of completeness, Seismic data integrity
Abstract:Data integrity and reliability during seismic event detection are the main factors limiting the effectiveness of seismic monitoring systems in underground mines. As it is impossible for current seismic monitoring systems to record all mining-induced seismic events, the incomplete seismic dataset may cause significant bias during data analyses and interpretation processes. Evaluation of seismic data integrity in mine seismology and eliminate its impact on seismic analyses is a critical issue that needs to be addressed. Therefore, this paper presents the results of a study that investigated the characteristics of seismic data and its integrity by assessing the event detection probability of the seismic monitoring system in an underground coal mine. The wave picking capacities of individual geophones are first evaluated, and the detection probabilities for seismic events within a specific monitoring area are then calculated. The results showed that geophones presented different wave-picking capacities for seismic events at various locations and energy magnitudes: a larger event detection probability and a broader detection range are observed for higher energy seismic events. A method to correct seismic data is also proposed to improve the completeness of the recorded seismic data, which provides more information on the frequencies of seismic events than the raw data. This paper enhances the method of assessing seismic data reliability and improving the accuracy of seismic analyses in underground mines.
Indexed by:Journal paper
Discipline:Engineering
First-Level Discipline:Mining Engineering
Document Type:J
Volume:54
Page Number:5885-5901
Translation or Not:no
Included Journals:SCI
Links to published journals:https://link.springer.com/article/10.1007/s00603-021-02597-7
Attachments:
Assistant researcher
Supervisor of Master's Candidates
School/Department:State Key Laboratory of Coal Exploration & Intelligent Mining, China University of Mining & Technology
Administrative Position:Research Assistant
Education Level:With Certificate of Graduation for Doctorate Study
Business Address:Room B417, Mining Science Center, China University of Mining and Technology (Nanhu Campus), Xuzhou, China.
Gender:Male
Contact Information:changbin.wang@cumt.edu.cn
Degree:Doctoral Degree in Engineering
Alma Mater:China University of Mining & Technology
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