Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Estimation of internal pit depth growth and reliability of aged oil and gas pipelines: A Monte Carlo simulation approach

    Access Status
    Fulltext not available
    Authors
    Ossai, C.
    Boswell, Brian
    Davies, I.
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Ossai, C. and Boswell, B. and Davies, I. 2015. Estimation of internal pit depth growth and reliability of aged oil and gas pipelines: A Monte Carlo simulation approach. Corrosion. 71 (8): pp. 977-991.
    Source Title
    Corrosion
    DOI
    10.5006/1543
    ISSN
    0010-9312
    School
    Department of Mechanical Engineering
    URI
    http://hdl.handle.net/20.500.11937/21038
    Collection
    • Curtin Research Publications
    Abstract

    © 2015, NACE International. To estimate the internal pit depth growth and reliability of aged oil and gas pipelines, a Monte Carlo simulation approach was adopted. The average maximum pit depths of corroded pipelines were correlated with the operating parameters-temperature, CO<inf>2</inf> partial pressure, pH, flow rate, sulfate ion concentration, chloride ion concentration, water cut, and wall shear stress via a multivariate regression analysis. Poisson square wave model was used to predict the time lapse of the pit depth growth using the statistical best fit of the maximum pit depth and operating parameters as boundary conditions. Weibull probability function was used to determine the failure intensity and survivability of the pipelines for different distribution types, whereas inspection data from a magnetic flux leakage in-line inspected transmission pipeline were used to test the application of the model. The future pit depth distribution, survivability, and failure rate of this transmission pipeline were also determined, with the result showing that the model is vital for future internal pit depth growth and reliability estimation from single field inspection data.

    Related items

    Showing items related by title, author, creator and subject.

    • Stochastic modelling of perfect inspection and repair actions for leak-failure prone internal corroded pipelines
      Ossai, C.; Boswell, Brian; Davies, I. (2016)
      To enhance the performance of any facility, reduce cost and failure probability involves proper inspection and repair decisions. To be able to establish the cost of repair and inspection of corroded pipelines at different ...
    • Modelling the effects of production rates and physico-chemical parameters on pitting rate and pit depth growth of onshore oil and gas pipelines
      Ossai, C.; Boswell, Brian; Davies, Ian (2016)
      © 2016 Institute of Materials, Minerals and Mining.To estimate the pitting rate of internally corroded oil and gas gathering pipelines, a multivariate regression modelling was carried out, using pitting rates and operating ...
    • Markov chain modelling for time evolution of internal pitting corrosion distribution of oil and gas pipelines
      Ossai, C.; Boswell, Brian; Davies, I. (2016)
      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 ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.