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Probabilistic failure assessment of oil pipelines due to internal corrosion
Author(s) -
Khakzad Sina,
Yang Ming,
Lohi Ali,
Khakzad Nima
Publication year - 2022
Publication title -
process safety progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.378
H-Index - 40
eISSN - 1547-5913
pISSN - 1066-8527
DOI - 10.1002/prs.12364
Subject(s) - corrosion , pipeline transport , petroleum engineering , probabilistic logic , environmental science , bayesian network , fossil fuel , volumetric flow rate , materials science , engineering , metallurgy , environmental engineering , waste management , mechanics , statistics , mathematics , physics
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 (CO 2 ), 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 CO 2 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.