Numerical modeling of low-frequency distributed acoustic sensing signals for mixed-mode fracture activation

PreviousNext No AccessSecond International Meeting for Applied Geoscience & EnergyNumerical modeling of low-frequency distributed acoustic sensing signals for mixed-mode fracture activationAuthors: Chaoyi WangDavid W. EatonYuanyuan MaChaoyi WangUniversity of CalgarySearch for more papers by this author, David W. EatonUniversity of CalgarySearch for more papers by this author, and Yuanyuan MaUniversity of CalgarySearch for more papers by this authorhttps://doi.org/10.1190/image2022-3749919.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractIn recent years, the development of distributed acoustic sensing (DAS) technology has enabled direct monitoring of subsurface strain during hydraulic fracturing operations. Most low frequency (<1Hz) DAS signals (LFDAS) exhibit strain or strain-rate patterns that are characteristic of propagating Mode-I (tensile) hydraulic fractures. However, in cases where pre-existing natural fractures or faults exist in proximity to operations, mixed-mode failure is possible, consisting of shear slip (Mode-II) plus dilation. Yet, the characteristics of mixed-mode LFDAS signals are poorly understood. We present a numerical simulation approach based on the Displacement Discontinuity Method to perform forward modeling of the mixed-mode LFDAS signals during the initial reactivation stages for a critically stressed fault. Our novel workflow provides a practical tool to perform fast forward modeling to characterize fault reactivation during hydraulic fracturing operations.Keywords: LFDAS, mixed-mode fracture activation, DDM forward modelingPermalink: https://doi.org/10.1190/image2022-3749919.1FiguresReferencesRelatedDetails 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 Chaoyi Wang, David W. Eaton, and Yuanyuan Ma, (2022), "Numerical modeling of low-frequency distributed acoustic sensing signals for mixed-mode fracture activation," SEG Technical Program Expanded Abstracts : 570-574. https://doi.org/10.1190/image2022-3749919.1 Plain-Language Summary KeywordsLFDASmixed-mode fracture activationDDM forward modelingPDF DownloadLoading ...