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• W4200332237 abstract "PreviousNext No AccessSixth International Conference on Engineering Geophysics, Virtual, 25–28 October 2021Deep void detection with 3D seismic waveform tomographyAuthors: Majid MirzanejadKhiem T. TranMichael McVayDavid HorhotaScott J. WasmanMajid MirzanejadUniversity of FloridaSearch for more papers by this author, Khiem T. TranUniversity of FloridaSearch for more papers by this author, Michael McVayUniversity of FloridaSearch for more papers by this author, David HorhotaFlorida Department of TransportationSearch for more papers by this author, and Scott J. WasmanUniversity of FloridaSearch for more papers by this authorhttps://doi.org/10.1190/iceg2021-066.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Detection of subsurface voids using nondestructive seismic methods is an ongoing problem in many areas of civil and environmental engineering (e.g., sinkholes and caves), homeland security (e.g., tunnel detection), and mining applications (e.g., abandoned mines). Recent advances in 3D full waveform inversion (FWI) technology have made it possible to scan large volumes of the underlying materials efficiently, providing a glimpse in to the state of subsurface conditions. A challenge in applying 3D FWI methods to the detection of voids emerges from their embedment depths. Shallower voids are easier to detect due to their large signature on the surface seismic response, whereas deeper voids have a much smaller signature and are therefore much harder to detect. The goal of this study is to investigate ways to overcome these limitations and improve void detection depths. One way to achieve this is thro ugh the application of a large surface source, generating more energy at lower frequencies (longer wavelengths), thereby increasing the penetration depth. Another way is by increasing the contribution of body waves and utilizing the diffraction/transmission information embedded in the waveforms. The latter is achieved through the application of a recently developed SPT-seismic method, where the standard penetration test (SPT) device is used to generate wave motion from within the subsurface. Both source methods and a newly developed 3D Gauss-Newton FWI method are utilized here to detect a deep void (25-45 m depth) in limestone, on the southern peninsula of Florida. The results are compared with SPT and borehole sonar profiles obtained from the test site. Overall, a good image of the deep void is achieved, matching observations from the invasive results. The findings provide useful insight into the application of FWI technology for detecting deep subsurface voids and anomalies that are typically hard to identify. Keywords: wave propagation, diffraction, transmission, full-waveform inversion, geophonesPermalink: https://doi.org/10.1190/iceg2021-066.1FiguresReferencesRelatedDetails Sixth International Conference on Engineering Geophysics, Virtual, 25–28 October 2021ISSN (online):2159-6832Copyright: 2021 Pages: 341 publication data© 2021 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 24 Dec 2021 CITATION INFORMATION Majid Mirzanejad, Khiem T. Tran, Michael McVay, David Horhota, and Scott J. Wasman, (2021), Deep void detection with 3D seismic waveform tomography, SEG Global Meeting Abstracts : 256-260. https://doi.org/10.1190/iceg2021-066.1 Plain-Language Summary Keywordswave propagationdiffractiontransmissionfull-waveform inversiongeophonesPDF DownloadLoading ..." @default.
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• W4200332237 title "Deep void detection with 3D seismic waveform tomography" @default.
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