Evaluating the system reliability of corroding pipelines based on inspection data

REFERENCES

• Ahammed, M. (1998). Probabilistic estimation of remaining life of a pipeline in the presence of active corrosion defects. International Journal of Pressure Vessels and Piping, 75(4), 321–329.
   Web of Science ®Google Scholar
• Ahammed, M., & Melchers, R.E. (1997). Probabilistic analysis of underground pipelines subject to combined stresses and corrosion. Engineering Structures, 19(12), 988–994.
   Web of Science ®Google Scholar
• Al-Amin, M., Zhou, W., Zhang, S., Kariyawasam, S., & Wang, H. (2012). Hierarchical Bayesian corrosion growth model based on in-line inspection data. 9th International Pipeline Conference (IPC2012), ASME, IPC2012-90509, Calgary, Alberta, Canada.
   Google Scholar
• Bernardo, J., & Smith, A.F.M. (2007). Bayesian theory. New York, NY: John Wiley & Sons.
   Google Scholar
• Caleyo, F., González, J.L., & Hallen, J.M. (2002). A study on the reliability assessment methodology for pipelines with active corrosion defects. International Journal of Pressure Vessels and Piping, 79(1), 77–86.
   Web of Science ®Google Scholar
• Caleyo, F., Velázquez, J.C., Valor, A., & Hallen, J.M. (2009). Probability distribution of pitting corrosion depth and rate in underground pipelines: A Monte Carlo study. Corrosion Science, 51(9), 1925–1934.
   Web of Science ®Google Scholar
• Canadian Standard Association (CSA). (2007). Oil and gas pipeline systems CSA-Z662. Missaussaga, Ontario, Canada.
   Google Scholar
• Coleman, G.A., & Miller, S.J. (2010). ILI tool tolerance and repeatability effect on corrosion growth rates. 8th International Pipeline Conference (IPC2010), ASME, IPC2010-1381, Calgary, Alberta, Canada.
   Google Scholar
• Congdon, P.D. (2010). Applied Bayesian hierarchical methods. London: CRC Press.
   Google Scholar
• Fenyvesi, L., & Dumalski, S. (2005). Determining corrosion growth accurately and reliably. Corrosion 2005, Paper 05154, Houston, TX, USA.
   Google Scholar
• Hong, H.P. (1997). Reliability based optimal inspection and maintenance for pipeline under corrosion. Civil Engineering Systems, 14(4), 313–334.
   Web of Science ®Google Scholar
• Huyse, L., & van Roodselaar, A. (2010). Effects of inline inspection sizing uncertainties on the accuracy of the largest features and corrosion rate statistics. 8th International Pipeline Conference (IPC2010), ASME, IPC2010-31037, Calgary, Alberta, Canada.
   Google Scholar
• Jiao, G., Sotberg, T., & Igland, R.T. (1995). SUPERB 2M statistical data – Basic uncertainty measures for reliability analysis of offshore pipelines. SUPERB JIP Report No. STF70 F95212 SUPERB Project 70041.
   Google Scholar
• Kariyawasam, S., & Peterson, W. (2008). Revised corrosion management with reliability based excavation criteria. 7th International Pipeline Conference (IPC2008), ASME, IPC2008-64536, Calgary, Alberta, Canada.
   Google Scholar
• Kariyawasam, S., & Peterson, W. (2010). Effective improvements to reliability based corrosion management. 8th International Pipeline Conference (IPC2010), ASME, IPC2010-31425, Calgary, Alberta, Canada.
   Google Scholar
• Kiefner, J.F., & Vieth, P.H. (1989). A modified criterion for evaluating the remaining strength of corroded pipe. Final Report on Project PR 3-805, Prepared for American Gas Association, Battelle Memorial Institute, Columbus, OH.
   Google Scholar
• Lunn, D., Spiegelhalter, D., Thomas, A., & Best, N. (2009). The BUGS project: Evolution, critique and future directions. Statistics in Medicine, 28(25), 3049–3067.
   PubMed Web of Science ®Google Scholar
• Maes, M.A., Faber, M.H., & Dann, M.R. (2009). Hierarchical modeling of pipeline defect growth subject to ILI uncertainty. Proceedings of the 28th International Conference on Ocean, Offshore and Arctic Engineering (OMAE2009), ASME Honolulu, Hawaii, USA (pp. 375–384)
   Google Scholar
• Melchers, R.E. (2003a). Probabilistic models for corrosion in structural reliability assessment – Part 1: Empirical models. Journal of Offshore Mechanics and Arctic Engineering, 125, 264–271.
   Web of Science ®Google Scholar
• Melchers, R.E. (2003b). Probabilistic models for corrosion in structural reliability assessment – Part 2: Models based on mechanics. Journal of Offshore Mechanics and Arctic Engineering, 125, 272–279.
   Web of Science ®Google Scholar
• Nessim, M., Dawson, J., Mora, R., & Hassanein, S. (2008). Obtaining corrosion growth rates from repeat in-line inspection runs and dealing with the measurement uncertainties. 7th International Pipeline Conference (IPC2008), ASME, IPC2008-64378, Calgary, Alberta, Canada.
   Google Scholar
• Nessim, M., Zhou, W., Zhou, J., & Rothwell, B. (2009). Target reliability levels for design and assessment of onshore natural gas pipelines. Journal of Pressure Vessel Technology, 131(6), 061701–061712.
   Google Scholar
• Pipeline and Hazardous Materials Safety Administration (PHMSA). (2012). Pipeline incidents and mileage reports. Retrieved from http://primis.phmsa.dot.gov/comm/reports/safety/PSI.html.
   Google Scholar
• Qiu, W., Gong, J., & Zhao, J. (2011). A study on natural gas decompression behavior. Petroleum Science and Technology, 29, 29–38.
   Web of Science ®Google Scholar
• Romanoff, M. (1989). Underground corrosion. Houston, TX: NACE.
   Google Scholar
• Rothwell, B., & Stephens, M. (2006). Risk analysis of sweet natural gas pipelines: Benchmarking simple consequence models. 6th International Pipeline Conference (IPC2006), ASME, IPC2006-10059, Calgary, Alberta, Canada.
   Google Scholar
• Soares, C.G., & Garbatov, Y. (1999). Reliability of maintained, corrosion protected plates subjected to non-linear corrosion and compressive loads. Marine Structures, 12(6), 425–445.
   Google Scholar
• Southwell, C.R., & Bultman, J.D. (1975). Corrosion of metals in tropical environments: Final report of 16-year exposures. Washington, DC: Naval Research Laboratory.
   Google Scholar
• Stephens, M., & Nessim, M. (2006). A comprehensive approach to corrosion management based on structural reliability methods. 6th International Pipeline Conference (IPC2006), ASME, IPC2006-10458, Calgary, Alberta, Canada.
   Google Scholar
• Zhou, W. (2010). System reliability of corroding pipelines. International Journal of Pressure Vessels and Piping, 87(10), 587–595.
   Web of Science ®Google Scholar
• Zhou, W. (2011). Reliability evaluation of corroding pipelines considering multiple failure modes and time-dependent internal pressure. Journal of Infrastructure Systems ASCE, 17(4), 216–224.
   Web of Science ®Google Scholar
• Zhou, W., & Huang, G.X. (2012). Model error assessments of burst capacity models for corroded pipelines. International Journal of Pressure Vessels and Piping, 99–100, 1–8.
   Web of Science ®Google Scholar