Detection of P-S travel time for low SNR event by particle motion analysis

PreviousNext No AccessProceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021Detection of P-S travel time for low SNR event by particle motion analysisAuthors: Jingyi SunYusuke MukuhiraTakayuki NagataTaku NonomuraHirokazu MoriyaTakatoshi ItoJingyi SunInstitute of Fluid Science, Tohoku UniversitySearch for more papers by this author, Yusuke MukuhiraInstitute of Fluid Science, Tohoku UniversitySearch for more papers by this author, Takayuki NagataDepartment of Aerospace Engineering, Tohoku UniversitySearch for more papers by this author, Taku NonomuraDepartment of Aerospace Engineering, Tohoku UniversitySearch for more papers by this author, Hirokazu MoriyaSchool of Engineering, Tohoku UniversitySearch for more papers by this author, and Takatoshi ItoInstitute of Fluid Science, Tohoku UniversitySearch for more papers by this authorhttps://doi.org/10.1190/segj2021-034.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Detecting microseismic events of low signal-to-noise ratio (SNR) provides an opportunity to understand subsurface reservoirs. The analysis of the detected events allows us to map the hypocenter of low SNR events that suggest the location of the fracture, the shape of stimulated reservoir volume. Enhancement of seismic catalog can also contribute to seismic hazard assessment. Following our previous study that detects the P-wave arrivals of low SNR events, this study aims to detect the associated S-wave. The direct S-wave particle motion depicts a flat plane in most cases. The direct S-wave particle motion direction is perpendicular to that of the direct P-wave. We utilize both two features to detect the S-wave arrival of low SNR events. We introduce 3D particle motion analysis to detect the direct S-wave of low SNR events and use eigendecomposition to characterize the 3D particle motion in the time domain. We analyze the time series data with a moving time window to evaluate planarity and perpendicularity. We apply our approaches to field data recorded at the Groningen gas field in the Netherlands to detect known catalog events as well as buried events hidden in the noise. Thus, we can gain insight into the formation of subsurface fractures and improve the efficiency of resource mining. Keywords: S-wave, low SNR events, polarization, time-series analysis, perpendicularityPermalink: https://doi.org/10.1190/segj2021-034.1FiguresReferencesRelatedDetails Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021ISSN (online):2159-6832Copyright: 2021 Pages: 349 publication data© 2021 Published in electronic format with permission by the Society of Exploration Geophysicists of JapanPublisher:Society of Exploration GeophysicistsSociety of Exploration Geophysicists of Japan HistoryPublished Online: 29 Nov 2021 CITATION INFORMATION Jingyi Sun, Yusuke Mukuhira, Takayuki Nagata, Taku Nonomura, Hirokazu Moriya, and Takatoshi Ito, (2021), "Detection of P-S travel time for low SNR event by particle motion analysis," SEG Global Meeting Abstracts : 124-127. https://doi.org/10.1190/segj2021-034.1 Plain-Language Summary KeywordsS-wavelow SNR eventspolarizationtime-series analysisperpendicularityPDF DownloadLoading ...