To maintain the integrity of corroded oil and gas pipelines, the reliability at times of exposure over the lifecycle duration need to be understood. This paper describes the procedures for predicting the performance of internally corroded oil and gas pipelines using a probabilistic-based Markovian process. The Pipeline Corrosivity Index (PCI), which is expressed as a function of the retained pipe-wall thickness was used to describe the condition of the corroded pipelines at exposure durations for low, moderate, high and severe corrosion rates. The time variation of the predicted Pipeline Corrosivity Index (PCI) was compared with field measured Pipeline Corrosivity Indexes (PCIs) of corroded API X52 grade pipelines and the results indicate that the model developed in this research is viable for integrated management of aged corroded pipelines and remaining useful life predictions.
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ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 2–5, 2015
Boston, Massachusetts, USA
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-5720-5
PROCEEDINGS PAPER
Reliability Analysis and Performance Predictions of Aged Pipelines Subjected to Internal Corrosion: A Markov Modelling Technique
Chinedu I. Ossai,
Chinedu I. Ossai
Curtin University, Perth, WA, Australia
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Brian Boswell,
Brian Boswell
Curtin University, Perth, WA, Australia
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Ian J. Davies
Ian J. Davies
Curtin University, Perth, WA, Australia
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Chinedu I. Ossai
Curtin University, Perth, WA, Australia
Brian Boswell
Curtin University, Perth, WA, Australia
Ian J. Davies
Curtin University, Perth, WA, Australia
Paper No:
DETC2015-46248, V010T12A011; 10 pages
Published Online:
January 19, 2016
Citation
Ossai, CI, Boswell, B, & Davies, IJ. "Reliability Analysis and Performance Predictions of Aged Pipelines Subjected to Internal Corrosion: A Markov Modelling Technique." Proceedings of the ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 10: ASME 2015 Power Transmission and Gearing Conference; 23rd Reliability, Stress Analysis, and Failure Prevention Conference. Boston, Massachusetts, USA. August 2–5, 2015. V010T12A011. ASME. https://doi.org/10.1115/DETC2015-46248
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