Muon borehole detector design for use in 4-D density overburden monitoring

Joshua Flygare, Alain Bonneville, Richard Kouzes, Jared Yamaoka, Azaree Lintereur

    Research output: Contribution to journalArticle

    2 Citations (Scopus)

    Abstract

    The increase in atmospheric CO 2 concentrations has initiated research into carbon sequestration methods. One possibility is to store CO 2 in subsurface porous reservoirs. Monitoring the injected CO 2 plume is vital because escaping CO 2 poses health and environmental risks. Typically, seismic reflection methods are used to determine the change in density due to the replacement of brine by CO 2 in the reservoir but this is expensive and not continuous. A potential alternative is to use cosmic muon tomography to measure density changes in the reservoir as a function of time. This paper describes the development of a muon detector that will be capable of being deployed in boreholes. The detector will be designed to have the required dimensions, an angular resolution of approximately 2°, and be mechanically robust. The prototype design is based on alternating layers of scintillating rods, which can provide 4-D reconstruction of the overburden to detect small changes in density at depths up to approximately 2 km. Geant4, a Monte Carlo simulation code, is being used to develop models to guide the design of the physical configuration. Preliminary testing and measurements have been performed to validate the simulation predictions and optimize physical performance parameters. The simulated and preliminary experimental results are presented here.

    Original languageEnglish (US)
    Article number8457268
    Pages (from-to)2724-2731
    Number of pages8
    JournalIEEE Transactions on Nuclear Science
    Volume65
    Issue number10
    DOIs
    StatePublished - Oct 1 2018

    Fingerprint

    boreholes
    Boreholes
    muons
    Detectors
    Monitoring
    detectors
    Tomography
    Health
    angular resolution
    Carbon
    health
    plumes
    Testing
    rods
    simulation
    tomography
    prototypes
    carbon
    configurations
    predictions

    All Science Journal Classification (ASJC) codes

    • Nuclear and High Energy Physics
    • Nuclear Energy and Engineering
    • Electrical and Electronic Engineering

    Cite this

    Flygare, Joshua ; Bonneville, Alain ; Kouzes, Richard ; Yamaoka, Jared ; Lintereur, Azaree. / Muon borehole detector design for use in 4-D density overburden monitoring. In: IEEE Transactions on Nuclear Science. 2018 ; Vol. 65, No. 10. pp. 2724-2731.
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    abstract = "The increase in atmospheric CO 2 concentrations has initiated research into carbon sequestration methods. One possibility is to store CO 2 in subsurface porous reservoirs. Monitoring the injected CO 2 plume is vital because escaping CO 2 poses health and environmental risks. Typically, seismic reflection methods are used to determine the change in density due to the replacement of brine by CO 2 in the reservoir but this is expensive and not continuous. A potential alternative is to use cosmic muon tomography to measure density changes in the reservoir as a function of time. This paper describes the development of a muon detector that will be capable of being deployed in boreholes. The detector will be designed to have the required dimensions, an angular resolution of approximately 2°, and be mechanically robust. The prototype design is based on alternating layers of scintillating rods, which can provide 4-D reconstruction of the overburden to detect small changes in density at depths up to approximately 2 km. Geant4, a Monte Carlo simulation code, is being used to develop models to guide the design of the physical configuration. Preliminary testing and measurements have been performed to validate the simulation predictions and optimize physical performance parameters. The simulated and preliminary experimental results are presented here.",
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    Muon borehole detector design for use in 4-D density overburden monitoring. / Flygare, Joshua; Bonneville, Alain; Kouzes, Richard; Yamaoka, Jared; Lintereur, Azaree.

    In: IEEE Transactions on Nuclear Science, Vol. 65, No. 10, 8457268, 01.10.2018, p. 2724-2731.

    Research output: Contribution to journalArticle

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