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    Analysis of signal to noise and directivity characteristics of das VSP at near and far offsets-A CO2CRC Otway Project data example

    263958.pdf (3.329Mb)
    Access Status
    Open access
    Authors
    Correa, Julia
    Egorov, Anton
    Tertyshnikov, Konstantin
    Bona, Andrej
    Pevzner, Roman
    Dean, Tim
    Freifeld, B.
    Marshall, S.
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Correa, J. and Egorov, A. and Tertyshnikov, K. and Bona, A. and Pevzner, R. and Dean, T. and Freifeld, B. et al. 2017. Analysis of signal to noise and directivity characteristics of das VSP at near and far offsets-A CO2CRC Otway Project data example. The Leading Edge. 36 (12): pp. 994a1-994a7.
    Source Title
    The Leading Edge
    DOI
    10.1190/tle36120994a1.1
    ISSN
    1070-485X
    School
    WASM: Minerals, Energy and Chemical Engineering (WASM-MECE)
    Remarks

    Use of this publication is subject to SEG terms of use and conditions at https://seg.org/Terms-of-Use

    URI
    http://hdl.handle.net/20.500.11937/65735
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 by The Society of Exploration Geophysicists. During the last decade, distributed acoustic sensing (DAS) has emerged as a new technology for seismic acquisition. DAS has the potential to reduce the cost of permanent monitoring operations over time as it offers long equipment survivability and requires minimum maintenance. However, broad adoption of DAS technology still faces some challenges, such as low sensitivity and high levels of noise compared to conventional seismic sensors. Recent developments in fiber-optic systems and cable designs aim to overcome these limitations. To understand how DAS can be used in monitoring applications, it is important to know how it behaves with varying offsets and incidence angles. An offset VSP survey was acquired, at the CO2CRC Otway Project, using a straight single-mode fiber, a straight "enhanced-backscatter" fiber, and a conventional three-component geophone tool. The results from this survey show that DAS has the potential to provide similar, or even superior, quality data sets as conventional geophones.

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