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• W2890160658 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2018Eighteen months of continuous near-surface monitoring with DAS data collected under Stanford UniversityAuthors: Eileen R. MartinBiondo L. BiondiEileen R. MartinStanford UniversitySearch for more papers by this author and Biondo L. BiondiStanford UniversitySearch for more papers by this authorhttps://doi.org/10.1190/segam2018-2997853.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract We use ambient noise interferometry on data recorded by a distributed acoustic sensing (DAS) array to extract signals mimicking active source surveys without the cost and permitting requirements of a traditional active survey for geotechnical characterization. Between September 2016 and March 2018, we passively recorded DAS data on an array of fibers in existing telecommunications conduits under the Stanford University campus. We analyze time-lapse changes in the ambient noise field throughout campus and observe diurnal, weekday/weekend, and some annual variation trends. We calculate noise correlation functions (NCFs) throughout the 18 months of recording to test whether the array’s NCFs were sensitive to near-surface velocity changes tied to seasonal saturation cycles. During rainier winter months, we see higher signal-to-noise ratios (SNR) in one-bit cross-correlations. To understand whether temporal changes in the ambient noise field could cause spurious changes in NCFs, we compare two methods for calculating monthly NCFs and their resulting dispersion images. Evidence does not suggest that the array detects a velocity shift correlated to saturation changes, but it is possible SNR of NCFs at far offsets may provide a qualitative indicator of saturation. Presentation Date: Wednesday, October 17, 2018 Start Time: 1:50:00 PM Location: 212A (Anaheim Convention Center) Presentation Type: Oral Keywords: 4D, distributed systems, passive imaging, near surface, noisePermalink: https://doi.org/10.1190/segam2018-2997853.1FiguresReferencesRelatedDetailsCited byAmbient seismic noise in an urban environment: case study using downhole distributed acoustic sensors at the Curtin University campus in Perth, Western Australia24 January 2022 | Exploration Geophysics, Vol. 53, No. 6Downhole Monitoring Using Distributed Acoustic Sensing: Fundamentals and Two Decades Deployment in Oil and Gas Industries21 March 2022Using Telecommunication Fiber Infrastructure for Earthquake Monitoring and Near‐Surface Characterization10 December 2021A Literature Review10 December 2021Measurement of Surface-Wave Phase-Velocity Dispersion on Mixed Inertial Seismometer – Distributed Acoustic Sensing Seismic Noise Cross-Correlations13 July 2021 | Bulletin of the Seismological Society of America, Vol. 111, No. 6Rapid deployment of distributed acoustic sensing systems to track earthquake activityMartin Karrenbach, Zhichao Shen, Zefeng Li, Steve Cole, Ethan Williams, Andy Klesh, Xin Wang, Zhongwen Zhan, Lisa LaFlame, Victor Yartsev, and Vlad Bogdanov30 September 2020Horizontally orthogonal distributed acoustic sensing array for earthquake- and ambient-noise-based multichannel analysis of surface waves16 June 2020 | Geophysical Journal International, Vol. 222, No. 3Distributed Acoustic Sensing Using Dark Fiber for Near-Surface Characterization and Broadband Seismic Event Detection4 February 2019 | Scientific Reports, Vol. 9, No. 1Estimation of scatterer locations and subsurface velocities using scattered tube waves observed during a crosswell surveyNori Nakata, Rie Nakata, and Ziqiu Xue10 August 2019Extracting subsurface information based on extremely short period of DAS recordingsYumin Zhao, Yunyue Elita Li, and Gang Fang10 August 2019Seismic Velocity Estimation Using Passive Downhole Distributed Acoustic Sensing Records: Examples From the San Andreas Fault Observatory at Depth22 July 2019 | Journal of Geophysical Research: Solid Earth, Vol. 124, No. 7 SEG Technical Program Expanded Abstracts 2018ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2018 Pages: 5520 publication data© 2018 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 27 Aug 2018 CITATION INFORMATION Eileen R. Martin and Biondo L. Biondi, (2018), Eighteen months of continuous near-surface monitoring with DAS data collected under Stanford University, SEG Technical Program Expanded Abstracts : 4958-4962. https://doi.org/10.1190/segam2018-2997853.1 Plain-Language Summary Keywords4Ddistributed systemspassive imagingnear surfacenoisePDF DownloadLoading ..." @default.
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