Remaining-Life Prediction and Reliability Assessment of Buried Gas Pipelines under Corrosion and Alternating Loads
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 6, Issue 1
Abstract
First, a methodology was proposed for predicting the remaining life of buried gas pipelines subject to corrosion and cyclic loads. Variation in corrosion-defect depth was considered an exponential function of pipeline elapsed time, and the cumulative damage rate was employed to compute pipeline cyclic damage. Because of the presence of nonlinearity in the formulas, an iterative method was used for calculating remaining life and total damage of pipelines with field data. Next, a limit-state function based on remaining-life mode was adopted for estimating pipeline failure probability, and the associated random variables were represented by normal probabilistic distributions. Then the acceptable failure probability and risk interval were combined for assessing pipeline reliability, which was validated with field data.
Get full access to this article
View all available purchase options and get full access to this article.
References
Ahammed, M. (1997). “Prediction of remaining strength of corroded pressurised pipelines.” Int. J. Press. Vessels Pip., 71(3), 213–217.
Ahammed, M. (1998). “Probabilistic estimation of remaining life of a pipeline in the presence of active corrosion defects.” Int. J. Press. Vessels Pip., 75(4), 321–329.
Ahammed, M., and Melchers, R. E. (1995). “Probabilistic analysis of pipelines subjected to pitting corrosion leak.” Eng. Struct., 17(2), 74–80.
Ahammed, M., and Melchers, R. E. (1996). “Reliability estimation of pressurised pipelines subject to localized corrosion defects.” Int. J. Press. Vessels Pip., 69(3), 267–272.
Ahammed, M., and Melchers, R. E. (1997). “Probabilistic analysis of underground pipelines subject to combined stresses and corrosion.” Eng. Struct., 19(12), 988–994.
Caleyo, F., González, J. L., and Hallen, J. M. (2002). “A study on the reliability assessment methodology for pipelines with active corrosion defects.” Int. J. Press. Vessels Pip., 79(1), 77–86.
Chen, G. H., and Dai, S. H. (1996). “Study on the reliability assessment methodology for pressure vessels containing defects.” Int. J. Press. Vessels Pip., 69(3), 273–277.
Det Norske Veritas (DNV). (1999). Corroded pipelines—Recommended practice RP-F101, Det Norske Veritas Press, Oslo, Norway.
Kiefner, J. F., and Vieth, P. H. (1990). “Evaluating pipe-1. New method corrects criterion for evaluating corroded pipe.” Oil Gas J., 88(32), 56–59.
Kolowrocki, K. (1998). “On applications of asymptotic reliability functions to the reliability and risk evaluation of pipelines.” Int. J. Press. Vessels Pip., 75(7), 545–558.
Li, S. X., Yu, S. R., Zeng, H. L., Li, J. H., and Liang, R. (2009). “Predicting corrosion remaining life of underground pipelines with a mechanically-based probabilistic model.” J. Petrol. Sci. Eng., 65(3–4), 162–166.
Melchers, R. E. (2005c). “The effect of corrosion on the structural reliability of steel offshore structures.” Corros. Sci., 47(10), 2391–2410.
Melchers, R. E. (2005a). “Statistical characterization of pitting corrosion. Part 1: Data analysis.” Corrosion, 61(7), 655–664.
Melchers, R. E. (2005b). “Statistical characterization of pitting corrosion. Part 2: Probabilistic modeling for maximum pit depth.” Corrosion, 61(8), 766–777.
Melchers, R. E., and Jeffrey, R. J. (2008). “Probabilistic models for steel corrosion loss and pitting of marine infrastructure.” Reliab. Eng. Syst. Saf., 93(3), 423–432.
Sexsmith, R. G. (1999). “Probability-based safety analysis—Value and drawbacks.” Struct. Saf., 21(4), 303–310.
Yan, D. F., Wen, Y. J., and Dong, S. H. (2005). Risk assessment and integrity management for oil and gas long-distance pipeline, Chemical Industry Press, Beijing, China.
Information & Authors
Information
Published In
Journal of Pipeline Systems Engineering and Practice
Volume 6 • Issue 1 • February 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Sep 29, 2013
Accepted: Jun 11, 2014
Published online: Aug 11, 2014
Discussion open until: Jan 11, 2015
Published in print: Feb 1, 2015
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.