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Multi-attribute risk assessment for risk ranking of natural gas pipelines

Author

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  • Brito, A.J.
  • de Almeida, A.T.

Abstract

The paper presents a decision model for risk assessment and for risk ranking of sections of natural gas pipelines based on multi-attribute utility theory. Pipeline hazard scenarios are surveyed and the reasons for a risk assessment model based on a multi-attribute approach are presented. Three dimensions of impact and the need to translate decision-makers’ preferences into risk management decisions are highlighted. The model approaches these factors by using a multi-attribute utility function, in order to produce multi-dimensional risk measurements. By using decision analysis concepts, this model quantitatively incorporates the decision-maker's preferences and behavior regarding risk within clear and consistent risk measurements. In order to support the prioritizing of critical sections of pipeline in natural gas companies, this multi-attribute model also allows sections of pipeline to be ranked into a risk hierarchy. A numerical application based on a real case study was undertaken so that the effectiveness of the decision model could be verified.

Suggested Citation

  • Brito, A.J. & de Almeida, A.T., 2009. "Multi-attribute risk assessment for risk ranking of natural gas pipelines," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 187-198.
  • Handle: RePEc:eee:reensy:v:94:y:2009:i:2:p:187-198
    DOI: 10.1016/j.ress.2008.02.014
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    References listed on IDEAS

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    1. Zhao, Yang & Xihong, Li & Jianbo, Lai, 2007. "Analysis on the diffusion hazards of dynamic leakage of gas pipeline," Reliability Engineering and System Safety, Elsevier, vol. 92(1), pages 47-53.
    2. Adiel Almeida, 2005. "Multicriteria Modelling of Repair Contract Based on Utility and ELECTRE I Method with Dependability and Service Quality Criteria," Annals of Operations Research, Springer, vol. 138(1), pages 113-126, September.
    3. Erhan Erkut & Vedat Verter, 1998. "Modeling of Transport Risk for Hazardous Materials," Operations Research, INFORMS, vol. 46(5), pages 625-642, October.
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    4. Gangadharan, Lata & Harrison, Glenn W. & Leroux, Anke D., 2019. "Are risks over multiple attributes traded off? A case study of aid," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 166-198.
    5. Casado, Ramon Swell Gomes Rodrigues & Alencar, Marcelo Hazin & de Almeida, Adiel Teixeira, 2022. "Combining a multidimensional risk evaluation with an implicit enumeration algorithm to tackle the portfolio selection problem of a natural gas pipeline," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    6. Chen, Yinuo & Xie, Shuyi & Tian, Zhigang, 2022. "Risk assessment of buried gas pipelines based on improved cloud-variable weight theory," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    7. Marlow, David R. & Beale, David J. & Mashford, John S., 2012. "Risk-based prioritization and its application to inspection of valves in the water sector," Reliability Engineering and System Safety, Elsevier, vol. 100(C), pages 67-74.
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    11. Zhen-Song Chen & Min Li & Wen-Tao Kong & Kwai-Sang Chin, 2019. "Evaluation and Selection of HazMat Transportation Alternatives: A PHFLTS- and TOPSIS-Integrated Multi-Perspective Approach," IJERPH, MDPI, vol. 16(21), pages 1-33, October.
    12. Mohsin, R. & Majid, Z.A. & Yusof, M.Z., 2014. "Safety distance between underground natural gas and water pipeline facilities," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 53-60.
    13. Rui Peng & Yan-Fu Li & Jun-Guang Zhang & Xiang Li, 2015. "A risk-reduction approach for optimal software release time determination with the delay incurred cost," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(9), pages 1628-1637, July.
    14. Medeiros, C.P. & Alencar, M.H. & de Almeida, A.T., 2017. "Multidimensional risk evaluation of natural gas pipelines based on a multicriteria decision model using visualization tools and statistical tests for global sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 268-276.
    15. Ditta, A. & Figueroa, O. & Galindo, G. & Yie-Pinedo, R., 2019. "A review on research in transportation of hazardous materials," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    16. Yin, Yuanbo & Yang, Hao & Duan, Pengfei & Li, Luling & Zio, Enrico & Liu, Cuiwei & Li, Yuxing, 2022. "Improved quantitative risk assessment of a natural gas pipeline considering high-consequence areas," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    17. Medeiros, Cristina Pereira & da Silva, Lucas Borges Leal & Alencar, Marcelo Hazin & de Almeida, Adiel Teixeira, 2021. "A new method for managing multidimensional risks in Natural Gas Pipelines based on non-Expected Utility," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    18. Rogerson, Ellen C. & Lambert, James H., 2012. "Prioritizing risks via several expert perspectives with application to runway safety," Reliability Engineering and System Safety, Elsevier, vol. 103(C), pages 22-34.
    19. Aorui Bi & Shuya Huang & Xinguo Sun, 2023. "Risk Assessment of Oil and Gas Pipeline Based on Vague Set-Weighted Set Pair Analysis Method," Mathematics, MDPI, vol. 11(2), pages 1-21, January.
    20. Hamilton, Michelle C. & Lambert, James H. & Connelly, Elizabeth B. & Barker, Kash, 2016. "Resilience analytics with disruption of preferences and lifecycle cost analysis for energy microgrids," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 11-21.
    21. Noguchi, H. & Hienuki, S. & Fuse, M., 2020. "Network theory-based accident scenario analysis for hazardous material transport: A case study of liquefied petroleum gas transport in japan," Reliability Engineering and System Safety, Elsevier, vol. 203(C).

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