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Identification of reference accident scenarios in SEVESO establishments

Author

Listed:
  • Delvosalle, C.
  • Fiévez, C.
  • Pipart, A.
  • Fabrega, J. Casal
  • Planas, E.
  • Christou, M.
  • Mushtaq, F.

Abstract

In the frame of the ESREL special session on ARAMIS project, this paper aims at presenting the work carried out in the first Work Package, devoted to the definition of accident scenarios. This topic is a key-point in risk assessment, and serves as basis for the whole risk quantification. A first part of the work aims at building a Methodology for the Identification of Major Accident Hazards (MIMAH), which is carried out with the development of generic fault and event trees based on a typology of equipment and substances. This work is coupled with an historical analysis of accidents. In a second part, influence of safety devices and policies will be considered, in order to build a Methodology for the Identification of Reference Accident Scenarios (MIRAS). This last one will take into account safety systems and lead to obtain more realistic scenarios.

Suggested Citation

  • Delvosalle, C. & Fiévez, C. & Pipart, A. & Fabrega, J. Casal & Planas, E. & Christou, M. & Mushtaq, F., 2005. "Identification of reference accident scenarios in SEVESO establishments," Reliability Engineering and System Safety, Elsevier, vol. 90(2), pages 238-246.
    • Handle: RePEc:eee:reensy:v:90:y:2005:i:2:p:238-246
    DOI: 10.1016/j.ress.2004.11.003
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    Cited by:

    1. Khakzad, Nima & Khan, Faisal & Amyotte, Paul, 2012. "Dynamic risk analysis using bow-tie approach," Reliability Engineering and System Safety, Elsevier, vol. 104(C), pages 36-44.
    2. Hu, Shenping & Fang, Quangen & Xia, Haibo & Xi, Yongtao, 2007. "Formal safety assessment based on relative risks model in ship navigation," Reliability Engineering and System Safety, Elsevier, vol. 92(3), pages 369-377.
    3. Babaleye, Ahmed O. & Kurt, Rafet Emek & Khan, Faisal, 2019. "Safety analysis of plugging and abandonment of oil and gas wells in uncertain conditions with limited data," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 133-141.
    4. van Staalduinen, Mark Adrian & Khan, Faisal & Gadag, Veeresh & Reniers, Genserik, 2017. "Functional quantitative security risk analysis (QSRA) to assist in protecting critical process infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 23-34.

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