Case study of hydraulic fracture monitoring using low-frequency components of DAS data

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PreviousNext No AccessSEG Technical Program Expanded Abstracts 2019Case study of hydraulic fracture monitoring using low-frequency components of DAS dataAuthors: Masaru IchikawaIsao KurosawaShinnosuke UchidaAyato KatoYoshiharu ItoSunao TakagiMike de GrootShoji HaraMasaru IchikawaJOGMECSearch for more papers by this author, Isao KurosawaJOGMECSearch for more papers by this author, Shinnosuke UchidaJOGMECSearch for more papers by this author, Ayato KatoJOGMECSearch for more papers by this author, Yoshiharu ItoJOGMECSearch for more papers by this author, Sunao TakagiJOGMECSearch for more papers by this author, Mike de GrootEncana Corp.Search for more papers by this author, and Shoji HaraDGMCSearch for more papers by this authorhttps://doi.org/10.1190/segam2019-3214251.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractDistributed acoustic sensing (DAS) using fiber optics is a remarkable seismic data acquisition tool used for hydraulic fracture monitoring. DAS data within low-frequency bands has the potential to constrain hydraulic fracture geometry (Ge Jin et al., 2017). In this study we acquired passive DAS data during a hydraulic fracturing operation in the Montney tight gas area and processed the data to extract the low-frequency components. Strain rate and cumulative strain maps were successfully drawn from the low-frequency DAS data. These map showed pressure changes near the fiber optic cable related to the fracturing operations, and detected both the position and time of the fracture hit from adjacent wells, enabling an estimate of the direction and the speed of fracture propagation. Since these DAS results present distinct characteristics that cannot be obtained by conventional monitoring methods, this method could become a standard monitoring method optimizing hydraulic fracturing operations.Presentation Date: Monday, September 16, 2019Session Start Time: 1:50 PMPresentation Time: 3:55 PMLocation: 221CPresentation Type: OralKeywords: DAS (distributed acoustic sensors), unconventional, fracture imaging, Canada, low frequencyPermalink: https://doi.org/10.1190/segam2019-3214251.1FiguresReferencesRelatedDetailsCited byA Hydraulic Fracture Geometry Inversion Model Based on Distributed-Acoustic-Sensing Data11 January 2023 | SPE Journal, Vol. 50On the Use of Low-Frequency Distributed Acoustic Sensing Data for In-Well Monitoring and Well Integrity: Qualitative Interpretation9 December 2022 | SPE Journal, Vol. 40Geomechanical modeling of fracture-induced vertical strain measured by distributed fiber optic strain sensingAishwarya Srinivasan, Yongzan Liu, Kan Wu, Ge Jin, and George J. 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