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dc.contributor.authorOssai, C.
dc.contributor.authorBoswell, Brian
dc.contributor.authorDavies, I.
dc.date.accessioned2017-01-30T13:37:27Z
dc.date.available2017-01-30T13:37:27Z
dc.date.created2016-02-02T19:30:23Z
dc.date.issued2016
dc.identifier.citationOssai, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/33493
dc.identifier.doi10.1016/j.engfailanal.2015.11.052
dc.description.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.

dc.titleMarkov chain modelling for time evolution of internal pitting corrosion distribution of oil and gas pipelines
dc.typeJournal Article
dcterms.source.volume60
dcterms.source.startPage209
dcterms.source.endPage228
dcterms.source.issn1350-6307
dcterms.source.titleEngineering Failure Analysis
curtin.departmentDepartment of Mechanical Engineering
curtin.accessStatusOpen access


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