Abstract

Pipelines are the most common and economical way of transporting hazardous liquid hydrocarbons. Steel pipelines suffer different degradation mechanisms due, in part, to corrosion reactions. Failure in a hazardous liquid pipeline can result in catastrophic environmental damage as well as societal health and safety threats. There are many standard methods for performing consequence analysis of oil, gas, and petrochemical piping systems, but there is no standard procedure for calculating the consequence of a failure of a transmission pipeline. Lacking accurate formulations, the majority of pipeline consequence analysis is performed employing qualitative assessment techniques. The qualitative methods are highly dependent on the proficiency and experience of the assessment team, and suffer a lack of repeatability and reliability of the results. This study improved the efficiency of the consequence analysis during qualitative risk-based inspection analysis of liquid pipelines by utilizing gray theory. The input parameters for a practical analysis include the most essential design, operation, and commissioning parameters, which can be captured easily from project documents. The suggested gray method for consequence analysis of the pipeline minimizes the participation of the appraiser in the decision-making process, reduces variability of the analysis by reducing human error, and thus increases the reproducibility and accuracy of the results.

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Data Availability Statement

All data, models, and code generated or used during this study appear in the published article.

References

Akbarinia, G. R., N. Gilani, S. Mohhamadzadeh, and S. S. Alizadeh. 2022. “Application of Kent Muhlbauer method to risk assessment of urban gas pipelines.” J. Pipeline Syst. Eng. Pract. 13 (1): 05021011. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000601.
Anbari, M. J., M. Tabesh, and A. Roozbahani. 2017. “Risk assessment model to prioritize sewer pipes inspection in wastewater collection networks.” J. Environ. Manage. 190 (Apr): 91–101. https://doi.org/10.1016/j.jenvman.2016.12.052.
API (American Petroleum Institute). 2013. Managing system integrity for hazardous liquid pipelines. API RP 1160. Washington, DC: API.
API (American Petroleum Institute). 2016. Risk-based inspection. API RP 580. Washington, DC: API.
ASME. 2017. Inspection planning using risk-based methods. ASME PCC-3. New York: ASME.
Badida, P., Y. Balasubramaniam, and J. Jayaprakash. 2019. “Risk evaluation of oil and natural gas pipelines due to natural hazards using fuzzy fault tree analysis.” J. Nat. Gas Sci. Eng. 66 (Jun): 284–292. https://doi.org/10.1016/j.jngse.2019.04.010.
Chang, T. C., and S. J. Lin. 1999. “Grey relation analysis of carbon dioxide emissions from industrial production and energy uses in Taiwan.” J. Environ. Manage. 56 (4): 247–257. https://doi.org/10.1006/jema.1999.0288.
Chen, X., Z. Wu, W. Chen, R. Kang, S. Wang, H. Sang, and Y. Miao. 2019. “A methodology for overall consequence assessment in oil and gas pipeline industry.” Process Saf. Prog. 38 (3): e12050. https://doi.org/10.1002/prs.12050.
Datta, S., and S. Sarkar. 2016. “A review on different pipeline fault detection methods.” J. Loss Prev. Process Ind. 41 (May): 97–106. https://doi.org/10.1016/j.jlp.2016.03.010.
Deng, Z., H. Ding, K. Miao, X. Zhang, T. Xu, and G. Li. 2021. “Grey relational analysis and fuzzy neural network method for predicting corrosion rate of marine pipeline.” Int. J. Higher Educ. Teach. Theory 2 (2): 210–215.
Dethlefs, J., and B. Chastain. 2012. “Assessing well-integrity risk: A qualitative model.” SPE Drill. Complet. 27 (2): 294–302. https://doi.org/10.2118/142854-PA.
DNV (Det Norske Veritas). 2009. Integrity management of submarine pipeline systems. DNV-RP-F116. Oslo, Norway: DNV.
Doniavi, A., M. Eskandarzade, A. Abdi, and A. Totonchi. 2008. “Empirical modeling of EDM parameters using grey relational analysis.” Asian J. Sci. Res. 1 (5): 502–509. https://doi.org/10.3923/ajsr.2008.502.509.
Guevarra, J. 2010. “Managing oil spill risks of transnational onshore pipelines.” In Proc., SPE Oil and Gas India Conf. and Exhibition. Society of Petroleum Engineers. Richardson, TX: American Society of Petroleum Engineers. https://doi.org/10.2118/129165-MS.
Hameed, H., G. Sun, and Y. Bai. 2018. “An overview of risk-based inspection planning for flexible pipeline.” In Proc., ASME 2018 37th Int. Conf. on Ocean, Offshore and Arctic Engineering. Volume 5: Pipelines, Risers, and Subsea Systems. New York: ASME. https://doi.org/10.1115/OMAE2018-78563.
Hao, M. J., Q. J. You, and Z. Yue. 2017. “Risk analysis of urban gas pipeline network based on improved bow-tie model.” Proc. IOP Conf. Ser. Earth Environ. Sci. 93 (1): 012059. https://doi.org/10.1088/1755-1315/93/1/012059.
Jiang, F., and S. Dong. 2021. “Risk-based integrity model for offshore pipelines subjected to impact loads from falling objects.” Proc. Inst. Mech. Eng. Part M: J. Eng. Marit. Environ. 235 (Jun): 623–641. https://doi.org/10.1177/1475090220960562.
Jing, K., and Z.-H. Zou. 2012. “Time prediction model for pipeline leakage based on grey relational analysis.” Phys. Procedia 25 (Jan): 2019–2024. https://doi.org/10.1016/j.phpro.2012.03.344.
Kalaki, A., M. Eskandarzade, A. Minaei, and R. M. Chandima Ratnayake. 2021. “Effect of secondary cooling rate in corrosion performance of line pipe material in sour service applications.” J. Pipeline Syst. Eng. Pract. 12 (2): 06021001. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000537.
Kamsu-Foguem, B. 2016. “Information structuring and risk-based inspection for the marine oil pipelines.” Appl. Ocean Res. 56 (Mar): 132–142. https://doi.org/10.1016/j.apor.2016.01.009.
Kauer, R., A. Jovanovic, S. Angelsen, and G. Vage. 2004. “Plant asset management: RIMAP (risk-based inspection and maintenance for European industries)—The European approach.” In Risk and reliability and evaluation of components and machinery, 183–192. New York: ASME. https://doi.org/10.1115/PVP2004-3020.
Keprate, A., and R. M. C. Ratnayake. 2015. “Use of AHP for risk based fatigue degradation inspection analysis of topside piping on offshore production and process facilities.” In Proc., 2015 IEEE Int. Conf. on Industrial Engineering and Engineering Management (IEEM), 737–741. New York: IEEE. https://doi.org/10.1109/IEEM.2015.7385745.
Li, Z., and L. Chen. 2019. “A novel evidential FMEA method by integrating fuzzy belief structure and grey relational projection method.” Eng. Appl. Artif. Intell. 77 (Jan): 136–147. https://doi.org/10.1016/j.engappai.2018.10.005.
Liu, D., W. Zhou, and S. He. 2018. “Risk assessment for urban gas transmission and distribution system using fuzzy comprehensive evaluation method.” J. Pipeline Syst. Eng. Pract. 9 (1): 04017038. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000307.
Liu, S., Y. Wang, and Y. Liang. 2020. “Environmental consequence analysis of oil spills from onshore pipelines with parametric uncertainty.” Process Saf. Environ. Prot. 141 (Sep): 123–134. https://doi.org/10.1016/j.psep.2020.04.032.
Mazumder, R. K., A. M. Salman, and Y. Li. 2021. “Failure risk analysis of pipelines using data-driven machine learning algorithms.” Struct. Saf. 89 (Mar): 102047. https://doi.org/10.1016/j.strusafe.2020.102047.
Mohd Ali Napiah, M. N., H. B. Morad, M. N. M. Rashid, N. A. Abdullah, and N. R. Idris. 2020. “Risk based determination of pipeline safety system using quantitative pipeline risk assessment approach.” In Proc., Offshore Technology Conf. Asia. Richardson, TX: OnePetro. https://doi.org/10.4043/30300-MS.
NORSOK. 2011. Risk based maintenance and consequence classification. NORSOK Z-008. Oslo, Norway: NORSOK Standard.
Parvizsedghy, L., and T. Zayed. 2016. “Consequence of failure: Neurofuzzy-based prediction model for gas pipelines.” J. Perform. Constr. Facil. 30 (4): 04015073. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000817.
Rachman, A., and R. M. C. Ratnayake. 2018. “Artificial neural network model for risk-based inspection screening assessment of oil and gas production system.” In Proc., 28th Int. Ocean Polar Eng. Conf. Mountain View, CA: Iternational Society of Offshore and Polar Engineers.
Rachman, A., and R. M. C. Ratnayake. 2019. “Machine learning approach for risk-based inspection screening assessment.” Reliab. Eng. Syst. Saf. 185 (May): 518–532. https://doi.org/10.1016/j.ress.2019.02.008.
Ratnayake, R. M. C. 2013. “Plant systems and equipment maintenance: Use of fuzzy logic for criticality assessment in NORSOK standard Z-008.” In Proc., 2013 IEEE Int. Conf. on Industrial Engineering and Engineering Management, 1468–1472. New York: IEEE. https://doi.org/10.1109/IEEM.2013.6962654.
Ratnayake, R. M. C. 2016. “Knowledge based engineering approach for subsea pipeline systems’ FFR assessment: A fuzzy expert system.” TQM J. 28 (Jan): 40–61. https://doi.org/10.1108/TQM-12-2013-0148.
Ratnayake, R. M. C. 2019a. “Asset integrity control: Prioritization of offshore topside flange openings during preventive maintenance shutdowns.” In Proc., ASME 2019 38th Int. Conf. on Ocean, Offshore and Arctic Engineering. Volume 3: Structures, Safety, and Reliability. New York: ASME. https://doi.org/10.1115/OMAE2019-96576.
Ratnayake, R. M. C. 2019b. “Consequence classification based spare parts evaluation and control in the petroleum industry.” In Proc., 2019 IEEE Int. Conf. on Industrial Engineering and Engineering Management (IEEM), 1204–1210. New York: IEEE. https://doi.org/10.1109/IEEM44572.2019.8978802.
Shahriar, A., R. Sadiq, and S. Tesfamariam. 2012. “Risk analysis for oil & gas pipelines: A sustainability assessment approach using fuzzy based bow-tie analysis.” J. Loss Prev. Process Ind. 25 (3): 505–523. https://doi.org/10.1016/j.jlp.2011.12.007.
Shayegani Akmal, M., A. Pasha, and A. Ahmadiand. 2018. “Failure analysis of an 8-inch urban gas distribution steel pipeline.” Pet. Res. 28 (99): 22–24. https://doi.org/10.1016/j.jlp.2011.12.007.
Shishesaz, M. R., M. Nazarnezhad Bajestani, S. J. Hashemi, and E. Shekari. 2013. “Comparison of API 510 pressure vessels inspection planning with API 581 risk-based inspection planning approaches.” Int. J. Press. Vessels Pip. 111–112 (Nov): 202–208. https://doi.org/10.1016/j.ijpvp.2013.07.007.
Shixia, D., and D. Jielin. 2021. “Risk sharing of urban underground comprehensive pipe gallery PPP project based on grey relational analysis.” In Vol. 253 of Proc., E3S Web of Conf. Les Ulis, France: EDP Sciences.
Singh, R. 2017. Pipeline integrity handbook. Amsterdam, Netherlands: Elsevier. https://doi.org/10.1016/B978-0-12-813045-2.12001-0.
Soomro, A. A., A. A. Mokhtar, J. C. Kurnia, N. Lashari, H. Lu, and C. Sambo. 2022. “Integrity assessment of corroded oil and gas pipelines using machine learning: A systematic review.” Eng. Fail. Anal. 131 (Jan): 105810. https://doi.org/10.1016/j.engfailanal.2021.105810.
Tutunchi, A., M. Eskandarzade, K. Osouli-Bostanabad, and R. Shahrivar. 2020. “Risk assessment of an urban natural gas polyethylene piping system.” J. Pipeline Syst. Eng. Pract. 11 (2): 06019005. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000440.
Vladeanu, G. J., and J. C. Matthews. 2019. “Consequence-of-failure model for risk-based asset management of wastewater pipes using AHP.” J. Pipeline Syst. Eng. Pract. 10 (2): 04019005. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000370.
Wu, H.-H. 2002. “A comparative study of using grey relational analysis in multiple attribute decision making problems.” Qual. Eng. 15 (2): 209–217. https://doi.org/10.1081/QEN-120015853.
Yu, H., X. Yu, Y. Li, and L. Li. 2021. “Comparison case study of risk assessment of dropped objects on subsea pipelines.” J. Pipeline Syst. Eng. Pract. 12 (3): 05021005. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000569.
Zakikhani, K., F. Nasiri, and T. Zayed. 2020. “A review of failure prediction models for oil and gas pipelines.” J. Pipeline Syst. Eng. Pract. 11 (1): 03119001. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000407.
Zwetsloot, G., J. van Kampen, W. Steijn, and S. Post. 2020. “Ranking of process safety cultures for risk-based inspections using indicative safety culture assessments.” J. Loss Prev. Process Ind. 64 (Mar): 104065. https://doi.org/10.1016/j.jlp.2020.104065.

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Go to Journal of Pipeline Systems Engineering and Practice
Journal of Pipeline Systems Engineering and Practice
Volume 14Issue 1February 2023

History

Received: Dec 2, 2021
Accepted: Jul 26, 2022
Published online: Sep 20, 2022
Published in print: Feb 1, 2023
Discussion open until: Feb 20, 2023

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Assistant Professor, Dept. of Mechanical Engineering, Univ. of Mohaghegh Ardabili, Ardabil 56199-11367, Iran (corresponding author). ORCID: https://orcid.org/0000-0002-9139-4628. Email: [email protected]
Meysam Najafi Ershadi [email protected]
Master’s Student, Dept. of Mechanical Engineering, Univ. of Mohaghegh Ardabili, Ardabil 56199-11367, Iran. Email: [email protected]
Behzad Abbaszadeh [email protected]
Researcher and Ph.D. Student, Dept. of Mechanical Engineering, Univ. of Mohaghegh Ardabili, Ardabil 56199-11367, Iran. Email: [email protected]
Seyed Mohammad Arab, Ph.D. [email protected]
Assistant Professor, Dept. of Mechanical Engineering, Univ. of Mohaghegh Ardabili, Ardabil 56199-11367, Iran. Email: [email protected]
Full Professor, Dept. of Mechanical and Structural Engineering and Materials Science, Univ. of Stavanger, Stavanger N4046, Norway. ORCID: https://orcid.org/0000-0003-2222-8199. Email: [email protected]

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