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Casualty analysis methodology and taxonomy for FPSO accident analysis

Author

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  • Bhardwaj, U.
  • Teixeira, A.P.
  • Guedes Soares, C.

Abstract

This paper proposes a taxonomy, named CASFOP (Casualty Analysis Methodology for FPSO Operations), for the analysis and codification of accidents in Floating Production Storage and Offloading units. The taxonomy incorporates the contribution of human and organizational factors to the accidental events, derived from the CASMET (Casualty Analysis Methodology for Maritime Operations) methodology that has been developed for accidents of conventional ships. The objective of the taxonomy for FPSO accident analysis is to integrate various causal factors (or elements of codification) related to the FPSO system and to formulate an event-orientated common framework for the representation of the chain of accidental events that lead to the accident and their root causes. The application of the suggested methodology is demonstrated with the analysis of the Cidade de São Mateus FPSO accident. The events involved and the underlying factors are coded according to the proposed CASFOP taxonomy. The application of the present taxonomy is also tested against a well-known human factor analysis taxonomy and the relevance of both taxonomies is discussed. The proposed taxonomy has revealed a greater number of refined human factors and root causes responsible for the accidents. It is also found to better capture the various dimensions of events from event initiation to the consequence of the accident. This approach can be used as an efficient tool for accident analysis, safety assessment and improving the reporting system in FPSOs and other floating installations such as Tension-leg Platforms and Semi-submersibles and Jack-up units.

Suggested Citation

  • Bhardwaj, U. & Teixeira, A.P. & Guedes Soares, C., 2022. "Casualty analysis methodology and taxonomy for FPSO accident analysis," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    • Handle: RePEc:eee:reensy:v:218:y:2022:i:pb:s0951832021006554
    DOI: 10.1016/j.ress.2021.108169
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    1. Jan-Erik Vinnem & Willy Røed, 2020. "Offshore Risk Assessment Vol. 1," Springer Series in Reliability Engineering, Springer, edition 4, number 978-1-4471-7444-8, January.
    2. Chen, Yuanjiang & Feng, Wei & Jiang, Zhiqiang & Duan, Lingling & Cheng, Shuangyi, 2021. "An accident causation model based on safety information cognition and its application," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    3. Dinis, D. & Teixeira, A.P. & Guedes Soares, C., 2020. "Probabilistic approach for characterising the static risk of ships using Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    4. Aziz, Abdul & Ahmed, Salim & Khan, Faisal & Stack, Chris & Lind, Annes, 2019. "Operational risk assessment model for marine vessels," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 348-361.
    5. 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.
    6. Liu, Jintao & Schmid, Felix & Zheng, Wei & Zhu, Jiebei, 2019. "Understanding railway operational accidents using network theory," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 218-231.
    7. Khakzad, Nima & Khan, Faisal & Paltrinieri, Nicola, 2014. "On the application of near accident data to risk analysis of major accidents," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 116-125.
    8. Bhardwaj, U. & Teixeira, A.P. & Guedes Soares, C. & Ariffin, A.K. & Singh, S.S., 2021. "Evidence based risk analysis of fire and explosion accident scenarios in FPSOs," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    9. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    10. Lam, C.Y. & Tai, K., 2020. "Network topological approach to modeling accident causations and characteristics: Analysis of railway incidents in Japan," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    11. Song, Guozheng & Khan, Faisal & Wang, Hangzhou & Leighton, Shelly & Yuan, Zhi & Liu, Hanwen, 2016. "Dynamic occupational risk model for offshore operations in harsh environments," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 58-64.
    12. Qiao, Wanguan, 2021. "Analysis and measurement of multifactor risk in underground coal mine accidents based on coupling theory," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    13. Beatriz Navas de Maya & Hassan Khalid & Rafet Emek Kurt, 2021. "Application of card-sorting approach to classify human factors of past maritime accidents," Maritime Policy & Management, Taylor & Francis Journals, vol. 48(1), pages 75-90, January.
    14. Antão, Pedro & Guedes Soares, C., 2008. "Causal factors in accidents of high-speed craft and conventional ocean-going vessels," Reliability Engineering and System Safety, Elsevier, vol. 93(9), pages 1292-1304.
    15. Theophilus, Stephen C. & Esenowo, Victor N. & Arewa, Andrew O. & Ifelebuegu, Augustine O. & Nnadi, Ernest O. & Mbanaso, Fredrick U., 2017. "Human factors analysis and classification system for the oil and gas industry (HFACS-OGI)," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 168-176.
    16. Jan-Erik Vinnem & Willy Røed, 2020. "Offshore Risk Assessment Vol. 2," Springer Series in Reliability Engineering, Springer, edition 4, number 978-1-4471-7448-6, January.
    17. Rahman, Md Samsur & Colbourne, Bruce & Khan, Faisal, 2021. "Risk-Based Cost Benefit Analysis of Offshore Resource Centre to Support Remote Offshore Operations in Harsh Environment," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    18. Hu, Jinqiu & Khan, Faisal & Zhang, Laibin, 2021. "Dynamic resilience assessment of the Marine LNG offloading system," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    19. Zarei, Esmaeil & Khan, Faisal & Abbassi, Rouzbeh, 2021. "Importance of human reliability in process operation: A critical analysis," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
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    2. Zhang, Hengqi & Geng, Hua, 2023. "A methodology to identify and assess high-risk causes for electrical personal accidents based on directed weighted CN," Reliability Engineering and System Safety, Elsevier, vol. 231(C).

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