Probabilistic failure assessment of oil pipelines due to internal corrosion

Sina Khakzad, Ming Yang, Ali Lohi, Nima Khakzad*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)
205 Downloads (Pure)


Oil and gas pipelines play a key role in the safe and efficient delivery of energy resources around the world. Crude oil by itself is not corrosive, but oil extracted from geological reservoirs is accompanied by varying amounts of water and acidic gases such as carbon dioxide (CO2), which can form a corrosive combination. Estimating the corrosion rate and depth in pipelines is essential for predicting their failure probability. In the present study, a Bayesian network has been developed for predicting the distribution of corrosion rate in oil pipelines given the point estimates generated using an empirical corrosion simulation model. For this purpose, the simulation model considers corrosion parameters such as pipe diameter, flow temperature, flow velocity, and CO2 partial pressure, among others. With the corrosion rate distribution predicted by the Bayesian network, corrosion depth–rate relationships have been employed to convert the corrosion rate distribution into failure probability distribution.
Original languageEnglish
Pages (from-to)793-803
Number of pages11
JournalProcess Safety Progress
Issue number4
Publication statusAccepted/In press - 2022


  • Bayesian network
  • depth–rate relationship
  • failure probability assessment
  • oil pipeline


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