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A human reliability analysis methodology for oil refineries and petrochemical plants operation: Phoenix-PRO qualitative framework

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  • Abílio Ramos, M.
  • López Droguett, E.
  • Mosleh, A.
  • Das Chagas Moura, M.

Abstract

The oil industry has grown in terms of quantity of facilities and process complexity. However, human and material losses still occur due to major accidents, and many of which involve human failures. These failures can be identified, modeled and quantified through Human Reliability Analysis (HRA). The most advanced HRA methods have been developed and applied in nuclear power plants, while the petroleum industry has mainly focused on process safety in terms of technical aspects of the operation and equipment. The existing HRA methodologies may not reflect the idiosyncrasies of refining and petrochemical plants regarding the interaction of the operators with the plant, their failure modes, and the factors that influence them. This paper builds on Phoenix HRA Methodology to develop a methodology specific for Petroleum Refining Operations (Phoenix-PRO). It uses as basis the Hybrid Causal Logic model, with Event Sequence Diagrams, Fault Trees and Bayesian Belief Networks. Phoenix-PRO development relied on interviews with HRA specialists, visitations to a refinery and its control room, and analysis of past oil refineries accidents. The use of this methodology for HRA of oil refineries and petrochemical plants operations can enhance this industry safety and allow for solid risk-based decisions.

Suggested Citation

  • Abílio Ramos, M. & López Droguett, E. & Mosleh, A. & Das Chagas Moura, M., 2020. "A human reliability analysis methodology for oil refineries and petrochemical plants operation: Phoenix-PRO qualitative framework," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:reensy:v:193:y:2020:i:c:s0951832019303436
    DOI: 10.1016/j.ress.2019.106672
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    References listed on IDEAS

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    Cited by:

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    3. Morais, Caroline & Estrada-Lugo, Hector Diego & Tolo, Silvia & Jacques, Tiago & Moura, Raphael & Beer, Michael & Patelli, Edoardo, 2022. "Robust data-driven human reliability analysis using credal networks," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    4. Zhao, Yunfei & Smidts, Carol, 2021. "CMS-BN: A cognitive modeling and simulation environment for human performance assessment, part 2 — Application," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    5. Stephen Thomas & Katrina M Groth, 2023. "Toward a hybrid causal framework for autonomous vehicle safety analysis," Journal of Risk and Reliability, , vol. 237(2), pages 367-388, April.
    6. Ramos, M.A. & Thieme, Christoph A. & Utne, Ingrid B. & Mosleh, A., 2020. "Human-system concurrent task analysis for maritime autonomous surface ship operation and safety," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    7. Al-Douri, Ahmad & Levine, Camille S. & Groth, Katrina M., 2023. "Identifying human failure events (HFEs) for external hazard probabilistic risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    8. Zhao, Yunfei & Smidts, Carol, 2021. "CMS-BN: A cognitive modeling and simulation environment for human performance assessment, part 1 — methodology," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    9. Podofillini, Luca & Reer, Bernhard & Dang, Vinh N., 2021. "Analysis of recent operational events involving inappropriate actions: influencing factors and root causes," Reliability Engineering and System Safety, Elsevier, vol. 216(C).

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