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    Multiphase flow in pipelines: An analysis of the influence of empirical correlations on mechanistic models

    225926_Brustur 2014.pdf (6.545Mb)
    Access Status
    Open access
    Authors
    Brustur, Adrian-George
    Date
    2014
    Supervisor
    Dr Gordon Ingram
    Assoc. Prof. Nicoleta Maynard
    Type
    Thesis
    Award
    MPhil
    
    Metadata
    Show full item record
    School
    Department of Chemical Engineering
    URI
    http://hdl.handle.net/20.500.11937/860
    Collection
    • Curtin Theses
    Abstract

    Empirical correlations in mechanistic models make them data-sensitive. This study proposes a systematic method for replacing alternative empirical correlations in a mechanistic model with the view of optimising or simplifying the model, and suggests that current industry practice needs to be changed to first test the data fit of the empirical correlations, before selecting the appropriate mechanistic model. The method is demonstrated on a widely-used model for two-phase slug flow, relevant to petroleum production.

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