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    Modelling the natural gas pipeline internal corrosion rate resulting from hydrate formation

    Access Status
    Fulltext not available
    Authors
    Obanijesu, Emmanuel
    Akindeju, Michael
    Pareek, Vishnu
    Tade, Moses
    Date
    2011
    Type
    Conference Paper
    
    Metadata
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    Citation
    Obanijesu, E.O. and Akindeju, M.K. and Pareek, V. and Tade, M.O. 2011. Modelling the natural gas pipeline internal corrosion rate resulting from hydrate formation, in Pistikopoulos E N, Georgiadis M C and Kokossis A C (ed), 21st European Symposium on Computer Aided Process Engineering (ESCAPE 21), May 29 2011. Porto Carrass, Greece: Elsevier.
    Source Title
    Proceedings from the 21st European Symposium on Computer Aided Process Engineering - ESCAPE 21
    Source Conference
    21st European Symposium on Computer Aided Process Engineering - ESCAPE 21
    School
    Department of Chemical Engineering
    URI
    http://hdl.handle.net/20.500.11937/28129
    Collection
    • Curtin Research Publications
    Abstract

    Hydrate formation along a long natural gas pipeline has recently been established to initiate different types of internal corrosion along the pipe-length based on the formation stage and point. These corrosions may lead to disintegration of the pipe's properties and eventually result into the pipe's leakage or full-bore rupture. Apart from the enormous economic implications on the operating company, the conveyed fluid upon escape to the environment poses the risk of fire, reduction of air quality and other health hazards. This article develops a predictive model on internal corrosion rate resulting from hydrate formation along a natural gas pipeline based on the thermodynamics properties of the transported fluid with H2O being 90% of the clathrates and the predictive rates were plotted against different operating conditions. The model clearly showed that the corrosion rate increases with temperature, wall shear stress, superficial velocity, fluid fugacity and acidity. Since the result trends agree with those of existing models, then, this model can be said to be reliable. To minimize the problems, some predictive and corrective management options are recommended on hydrate formation.

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