Pitting corrosion modelling of X80 steel utilized in offshore petroleum pipelines

• Published in: Process safety and environmental protection Vol. 141; pp. 135 - 139
• Main Authors: Arzaghi, Ehsan, Chia, Bing H., Abaei, Mohammad M., Abbassi, Rouzbeh, Garaniya, Vikram
• Format: Journal Article
• Language: English
• Published: Rugby Elsevier B.V 01.09.2020; Elsevier Science Ltd
• Subjects: Bayesian analysis; Bayesian Inference; Corrosion; Corrosion environments; Corrosion rate; Corrosion resistance; Degradation; Deterioration; Growth rate; High strength low alloy steels; Marine environment; Markov Chain Monte-Carlo; Methodology; Offshore; Offshore engineering; Offshore Structures; Parameter uncertainty; Petroleum pipelines; Pipelines; Pitting Corrosion; Probabilistic models; Probability theory; Reliability analysis; Reliability engineering; Sodium chloride; Steel; Structural reliability; Bayesian Inference; Offshore Structures; Deterioration; Markov Chain Monte-Carlo; Pitting Corrosion

•In-situ experimental analysis of pitting corrosion growth as a function of time.•Development of a Bayesian methodology for probabilistic modelling of pitting corrosion growth in steels.•Prediction of time to reach a critical pit size, based on actual damage observations of corrosion.•Presenting a B...