Print Email Facebook Twitter Probabilistic failure assessment of oil pipelines due to internal corrosion Title Probabilistic failure assessment of oil pipelines due to internal corrosion Author Khakzad, Sina (Memorial University of Newfoundland) Yang, M. (TU Delft Safety and Security Science) Lohi, Ali (Toronto Metropolitan University) Khakzad, N. (Toronto Metropolitan University) Date 2022 Abstract 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. Subject Bayesian networkdepth–rate relationshipfailure probability assessmentoil pipeline To reference this document use: http://resolver.tudelft.nl/uuid:60353388-242f-4a2e-b9a7-acfa27981fda DOI https://doi.org/10.1002/prs.12364 ISSN 1066-8527 Source Process Safety Progress, 41 (4), 793-803 Part of collection Institutional Repository Document type journal article Rights © 2022 Sina Khakzad, M. Yang, Ali Lohi, N. Khakzad Files PDF Process_Safety_Progress_2 ... rosion.pdf 1.96 MB Close viewer /islandora/object/uuid:60353388-242f-4a2e-b9a7-acfa27981fda/datastream/OBJ/view