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Functional and dysfunctional analysis of a safety instrumented system (SIS) through the common cause failures (CCFs) assessment. Case of high integrity protection pressure system (HIPPS)

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  • H. Metatla

    (University 20Août 1955)

  • M. Rouainia

    (University 20Août 1955)

Abstract

In oil & gas industrial plants, High Integrity Pressure Protection Systems (HIPPS) are widely used as barrier between high pressure and low pressure sections. Hence, it is necessary to optimize its reliability, availability and, maintainability to help in the implementation of HIPPS maintenance planning from a quantitative point of view. The objective of our work is included in this concept. Where a comparative study on HIPPS dependability with and without considering common cause failures (CCFs) is realized, through the quantification of CCFs effects on overall performances by considering HIPPS reliability reduction, HIPPS Safety Integrity Level degradation, and the decrease of HIPPS Mean Down Time, and production capacity. Beta factor is used to model the CCFs on HIPPS and, the reliability block diagram RBD is used for functional aspects and fault tree analysis FTA technique is used for dysfunctional aspects. The obtained simulation results show the effectiveness of the HIPPS, in keeping its safety and reliability characteristics in presence of the CCFs, the robustness, accuracy, and the suitability of the used methodology in CCFs assessment.

Suggested Citation

  • H. Metatla & M. Rouainia, 2022. "Functional and dysfunctional analysis of a safety instrumented system (SIS) through the common cause failures (CCFs) assessment. Case of high integrity protection pressure system (HIPPS)," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(4), pages 1932-1954, August.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:4:d:10.1007_s13198-021-01608-8
    DOI: 10.1007/s13198-021-01608-8
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    References listed on IDEAS

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    1. Hauge, S. & Hokstad, P. & HÃ¥brekke, S. & Lundteigen, M.A., 2016. "Common cause failures in safety-instrumented systems: Using field experience from the petroleum industry," Reliability Engineering and System Safety, Elsevier, vol. 151(C), pages 34-45.
    2. Jin, Hui & Lundteigen, Mary Ann & Rausand, Marvin, 2011. "Reliability performance of safety instrumented systems: A common approach for both low- and high-demand mode of operation," Reliability Engineering and System Safety, Elsevier, vol. 96(3), pages 365-373.
    3. Iyer, Srinivas, 1992. "The Barlow-Proschan importance and its generalizations with dependent components," Stochastic Processes and their Applications, Elsevier, vol. 42(2), pages 353-359, September.
    4. Gianpaolo Di Bona & Antonio Forcina & Domenico Falcone & Luca Silvestri, 2020. "Critical Risks Method (CRM): A New Safety Allocation Approach for a Critical Infrastructure," Sustainability, MDPI, vol. 12(12), pages 1-19, June.
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    Cited by:

    1. Taha Benikhlef & Djamel Benazzouz, 2023. "Damage domains of chemically reacting industrial facilities. Application to Bhopal: like scenarios," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(4), pages 1387-1394, August.

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    Keywords

    HIPPS; CCFs; Beta factor model; FTA; RBD; SIL;
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