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Semblance for microseismic event detection
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SYSNO ASEP 0447771 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Semblance for microseismic event detection Tvůrce(i) Staněk, František (USMH-B) ORCID, RID
Anikiev, D. (RU)
Valenta, Jan (USMH-B) RID, ORCID
Eisner, Leo (USMH-B) RIDZdroj.dok. Geophysical Journal International - ISSN 0956-540X
Roč. 201, č. 3 (2015), s. 1362-1369Poč.str. 8 s. Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. GB - Velká Británie Klíč. slova microseismic event ; microseismic monitoring ; source mechanisms Vědní obor RIV DC - Seismologie, vulkanologie a struktura Země CEP GAP210/12/2451 GA ČR - Grantová agentura ČR Institucionální podpora USMH-B - RVO:67985891 UT WOS 000355321800011 EID SCOPUS 84929832498 DOI 10.1093/gji/ggv070 Anotace Microseismic monitoring from large arrays using migration-based detection and location techniques is limited by detections of false positive events, which are the interpretation of spurious/noisy signals as real events. Therefore, semblance has been considered to differentiate between false positive and true events. However, semblance by itself is not suitable for variable signals such as those caused by shear source radiation. We present a new methodology for event detection and location using semblance of amplitudes corrected by a source mechanism. Our method is suitable for multichannel processing of microseismic data sets acquired with large arrays. The amplitudes are corrected by the radiation pattern of the inverted source mechanism before the semblance computation. We show that the source mechanism correction is the key factor in maximizing the value of semblance and makes the detection based on semblance superior to simple stacking. We apply this method to a data set recorded by a large surface star-like array on synthetic as well as on field data. Pracoviště Ústav struktury a mechaniky hornin Kontakt Iva Švihálková, svihalkova@irsm.cas.cz, Tel.: 266 009 216 Rok sběru 2016
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