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Pitting corrosion modelling of X80 steel utilized in offshore petroleum pipelines

Citation

Arzaghi, E and Chia, BH and Abaei, MM and Abbassi, R and Garaniya, V, Pitting corrosion modelling of X80 steel utilized in offshore petroleum pipelines, Process Safety and Environmental Protection, 141 pp. 135-139. ISSN 0957-5820 (2020) [Refereed Article]

Copyright Statement

Copyright 2020 Institution of Chemical Engineers

DOI: doi:10.1016/j.psep.2020.05.024

Abstract

High strength steels such as X80 steels have recently been used more frequently in production of offshore structures. However, they may still be subject to degradation processes such as corrosion considering the conditions in marine environment. Pitting corrosion is a destructive form of corrosion which reduces the material resistance and may result in failure accidents with severe financial, human life and environmental consequences. The process of pitting corrosion is inconsistent and largely stochastic being influenced by a number of parameters with a high level of uncertainty. This makes it very difficult to predict corrosion in terms of its initiation time and spatial behavior. Therefore, it is vital to investigate pitting corrosion phenomena in offshore structures using a probabilistic approach for the assessment of structural reliability and operational safety. In this study, an in-situ experiment has been conducted on X80 steel in an NaCl solution in a laboratory environment to observe the generation and growth of corrosion pits. A probabilistic model based on Hierarchical Bayesian Approach (HBA) is developed for predicting the pitting corrosion growth rate using experimental results. In order to model the process more realistically, the proposed methodology considers the degradation process to be consisting of the time needed for pit initiation and propagation. The results indicate that the proposed methodology is capable of predicting the time required to reach a specific pit size. The methodology developed in this study can be applied to estimate the remaining useful life of subsea structures.

Item Details

Item Type:Refereed Article
Keywords:pitting corrosion, deterioration, offshore structures, Bayesian inference, Markov chain Monte-Carlo
Research Division:Engineering
Research Group:Maritime engineering
Research Field:Ocean engineering
Objective Division:Energy
Objective Group:Mining and extraction of energy resources
Objective Field:Oil and gas extraction
UTAS Author:Chia, BH (Mr Bing Chia)
UTAS Author:Abbassi, R (Dr Rouzbeh Abbassi)
UTAS Author:Garaniya, V (Dr Vikram Garaniya)
ID Code:139304
Year Published:2020
Web of Science® Times Cited:4
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2020-06-09
Last Modified:2020-08-18
Downloads:0

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