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    Cargo scheduling decision support for offshore oil and gas production: a case study

    251403.pdf (907.0Kb)
    Access Status
    Open access
    Authors
    Mardaneh, Elham
    Lin, Qun
    Loxton, Ryan
    Wilson, N.
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Mardaneh, E. and Lin, Q. and Loxton, R. and Wilson, N. 2017. Cargo scheduling decision support for offshore oil and gas production: a case study. Optimization and Engineering. 18 (4): pp. 991–1008.
    Source Title
    Optimization and Engineering
    DOI
    10.1007/s11081-017-9348-3
    ISSN
    1389-4420
    School
    Department of Mathematics and Statistics
    Remarks

    The final publication is available at Springer via http://dx.doi.org/10.1007/s11081-017-9348-3

    URI
    http://hdl.handle.net/20.500.11937/52760
    Collection
    • Curtin Research Publications
    Abstract

    Woodside Energy Ltd (Woodside), Australia’s largest independent oil and gas company, operates multiple oil and gas facilities off the coast of Western Australia. These facilities require regular cargo shipments from supply vessels based in Karratha, Western Australia. In this paper, we describe a decision support model for scheduling the cargo shipments to minimize travel cost and trip duration, subject to various operational restrictions including vessel capacities, cargo demands at the facilities, time windows at the facilities, and base opening times. The model is a type of non-standard vehicle routing problem involving multiple supply vessels—a primary supply vessel that visits every facility during a round trip taking at most 1 week, and other supply vessels that are used on an ad hoc basis when the primary vessel cannot meet all cargo demands. We validate the model via test simulations using real data provided by Woodside.

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