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• W4291753111 abstract "PreviousNext No AccessSecond International Meeting for Applied Geoscience & EnergyEstimating Rayleigh surface wave from ambient noise recorded by distributed acoustic sensing (DAS) dark fiber array in the cityAuthors: Rafał CzarnyTieyuan ZhuRafał CzarnyThe Pennsylvania State UniversitySearch for more papers by this author and Tieyuan ZhuThe Pennsylvania State UniversitySearch for more papers by this authorhttps://doi.org/10.1190/image2022-3750564.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractWe present the processing workflow of estimating stable, good-quality Rayleigh surface waves from ambient noise recorded by the Distributed Acoustic Sensing (DAS) dark fiber array inside the city. Our example concerns a 660-m long telecom fiber line as a part of the Penn State Fiber-Optic For Environment Sensing (FORESEE) array. We process a month of continuous data with the seismic interferometry method. We focus on traffic noise which dominates in urban areas. In comparison to a standard ambient noise interferometry strategy, we added frequency-wavenumber wavefield separation before cross-correlation. We analyze the quality of every virtual shot gathers (VSGs) retrieved along with the DAS profile. It tuned out that high quality VSGs are those with virtual source points located near the obstacle on the road (bumps, joints, manholes) and some intersections. Eventually, we stack selected 5 best quality VSGs for both positive and negative wavenumbers according to the offset. Multi-mode Rayleigh surface wave with the broadband response from few Hz up to 40 Hz gives us the ability to reconstruct the 1-D S-wave velocity model. The quality of the estimated wave is promising in terms of monitoring small velocity changes due to external impact, e.g., water table variations.Keywords: distributed acoustic sensing, seismic interferometry, Rayleigh wave, seismic ambient noise, S-wave velocityPermalink: https://doi.org/10.1190/image2022-3750564.1FiguresReferencesRelatedDetails Second International Meeting for Applied Geoscience & EnergyISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2022 Pages: 3694 publication data© 2022 Published in electronic format with permission by the Society of Exploration Geophysicists and the American Association of Petroleum GeologistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 15 Aug 2022 CITATION INFORMATION Rafał Czarny and Tieyuan Zhu, (2022), Estimating Rayleigh surface wave from ambient noise recorded by distributed acoustic sensing (DAS) dark fiber array in the city, SEG Technical Program Expanded Abstracts : 2133-2137. https://doi.org/10.1190/image2022-3750564.1 Plain-Language Summary Keywordsdistributed acoustic sensingseismic interferometryRayleigh waveseismic ambient noiseS-wave velocityPDF DownloadLoading ..." @default.
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• W4291753111 title "Estimating Rayleigh surface wave from ambient noise recorded by distributed acoustic sensing (DAS) dark fiber array in the city" @default.
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