NDLI: Passive (Micro-) Seismic Event Detection by Identifying Embedded “Event” Anomalies Within Statistically Describable Background Noise

Content Provider	Springer Nature Link
Author	Baziw, Erick Verbeek, Gerald
Copyright Year	2012
Abstract	Among engineers there is considerable interest in the real-time identification of “events” within time series data with a low signal to noise ratio. This is especially true for acoustic emission analysis, which is utilized to assess the integrity and safety of many structures and is also applied in the field of passive seismic monitoring (PSM). Here an array of seismic receivers are used to acquire acoustic signals to monitor locations where seismic activity is expected: underground excavations, deep open pits and quarries, reservoirs into which fluids are injected or from which fluids are produced, permeable subsurface formations, or sites of large underground explosions. The most important element of PSM is event detection: the monitoring of seismic acoustic emissions is a continuous, real-time process which typically runs 24 h a day, 7 days a week, and therefore a PSM system with poor event detection can easily acquire terabytes of useless data as it does not identify crucial acoustic events. This paper outlines a new algorithm developed for this application, the so-called SEED™ (Signal Enhancement and Event Detection) algorithm. The SEED™ algorithm uses real-time Bayesian recursive estimation digital filtering techniques for PSM signal enhancement and event detection.
Starting Page	2107
Ending Page	2126
Page Count	20
File Format	PDF
ISSN	00334553
Journal	Pure and applied geophysics
Volume Number	169
Issue Number	12
e-ISSN	14209136
Language	English
Publisher	SP Birkhäuser Verlag Basel
Publisher Date	2012-04-21
Publisher Place	Basel
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Passive (micro-) seismic monitoring real-time event detection Kalman filter Hidden Markov models Geophysics/Geodesy
Content Type	Text
Resource Type	Article
Subject	Geochemistry and Petrology Geophysics

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