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    Markov chain modelling for time evolution of internal pitting corrosion distribution of oil and gas pipelines

    237497_237497.pdf (1.258Mb)
    Access Status
    Open access
    Authors
    Ossai, C.
    Boswell, Brian
    Davies, I.
    Date
    2016
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Ossai, C. and Boswell, B. and Davies, I. 2016. Markov chain modelling for time evolution of internal pitting corrosion distribution of oil and gas pipelines. Engineering Failure Analysis. 60: pp. 209-228.
    Source Title
    Engineering Failure Analysis
    DOI
    10.1016/j.engfailanal.2015.11.052
    ISSN
    1350-6307
    School
    Department of Mechanical Engineering
    URI
    http://hdl.handle.net/20.500.11937/33493
    Collection
    • Curtin Research Publications
    Abstract

    A continuous time non-homogenous linear growth pure birth Markov model was used to predict the future pit depth distribution of internally corroded oil and gas pipelines. A negative binomial distribution was used for calculating the transition probability functions of the pit depths whilst pit depth growth was estimated for low, moderate, high and severe pitting corrosion rates using field measured data of pit depths, temperatures, CO2 partial pressures, pH and flow rates. The Markov predicted results agreed well with field measured pit depth data from X52 grade pipeline and L-80 and N-80 grades offshore well tubing.

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