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    Methods to Detect Inadequate Bit Cleaning in Diamond Drilling.

    Access Status
    Fulltext not available
    Embargo Lift Date
    2027-03-10
    Authors
    Su, Kwong Lee
    Date
    2024
    Supervisor
    Thomas Richard
    Masood Mostofi
    Type
    Thesis
    Award
    MPhil
    
    Metadata
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    Faculty
    Science and Engineering
    School
    WASM: Minerals, Energy and Chemical Engineering
    URI
    http://hdl.handle.net/20.500.11937/97314
    Collection
    • Curtin Theses
    Abstract

    Drilling is essential for resource extraction but is often costly, time-intensive, and prone to challenges like inadequate bit cleaning, which reduces efficiency, increases bit wear, and raises operational costs. Beyond a critical penetration rate, debris removal becomes inefficient, leading to performance drops. Current solutions rely on driller experience without standardized guidelines. This research develops a real-time algorithm to analyze drilling data, detect inefficient conditions, and recommend parameter adjustments to enhance efficiency and reduce costs.

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