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On RAM performance of production facilities operating under the Barents Sea harsh environmental conditions

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  • Masoud Naseri

    (UiT-The Arctic University of Norway)

  • Javad Barabady

    (UiT-The Arctic University of Norway)

Abstract

Oil and gas (O&G) industry is expanding its activities into Arctic offshore, where is characterised with severe operating conditions and less-developed infrastructure. Such conditions affect the reliability, availability, and maintainability (RAM) of offshore O&G plants, operations, and activities through different scenarios. Plant RAM analysis provides key information for decision-making on, for instance, life-cycle cost management, inventory management, future investments, establishing maintenance policies, and safety-barrier management. Such decisions are of crucial value in Arctic offshore applications due to higher initial and operation costs. Therefore, a thorough evaluation and quantification of the effects of operating conditions on plant RAM performance play a significant role in such decision-making processes. In this regard, the aim of this paper is to broadly review and discuss different elements of Arctic offshore operating conditions specific to the Barents Sea, and further investigate various effects of such conditions on plant RAM. The present study provides fundamental information to academic and industrial sectors involved in the research and development of Arctic offshore O&G facilities and operations.

Suggested Citation

  • Masoud Naseri & Javad Barabady, 2016. "On RAM performance of production facilities operating under the Barents Sea harsh environmental conditions," 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. 7(3), pages 273-298, September.
    • Handle: RePEc:spr:ijsaem:v:7:y:2016:i:3:d:10.1007_s13198-016-0463-x
    DOI: 10.1007/s13198-016-0463-x
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    References listed on IDEAS

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    1. Zio, E., 2009. "Reliability engineering: Old problems and new challenges," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 125-141.
    2. Nascimento, Felipe A.C. & Majumdar, Arnab & Ochieng, Washington Y. & Jarvis, Steve R., 2012. "A multistage multinational triangulation approach to hazard identification in night-time offshore helicopter operations," Reliability Engineering and System Safety, Elsevier, vol. 108(C), pages 142-153.
    3. Naseri, Masoud & Baraldi, Piero & Compare, Michele & Zio, Enrico, 2016. "Availability assessment of oil and gas processing plants operating under dynamic Arctic weather conditions," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 66-82.
    4. Barabadi, Abbas & Barabady, Javad & Markeset, Tore, 2011. "A methodology for throughput capacity analysis of a production facility considering environment condition," Reliability Engineering and System Safety, Elsevier, vol. 96(12), pages 1637-1646.
    5. Gao, Xueli & Barabady, Javad & Markeset, Tore, 2010. "An approach for prediction of petroleum production facility performance considering Arctic influence factors," Reliability Engineering and System Safety, Elsevier, vol. 95(8), pages 837-846.
    6. Barabady, Javad & Kumar, Uday, 2008. "Reliability analysis of mining equipment: A case study of a crushing plant at Jajarm Bauxite Mine in Iran," Reliability Engineering and System Safety, Elsevier, vol. 93(4), pages 647-653.
    7. Barabadi, Abbas & Tobias Gudmestad, Ove & Barabady, Javad, 2015. "RAMS data collection under Arctic conditions," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 92-99.
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    Cited by:

    1. Albara M. Mustafa & Abbas Barabadi & Tore Markeset & Masoud Naseri, 2021. "An overall performance index for wind farms: a case study in Norway Arctic region," 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. 12(5), pages 938-950, October.
    2. Rezgar Zaki & Abbas Barabadi & Ali Nouri Qarahasanlou & A. H. S. Garmabaki, 2019. "A mixture frailty model for maintainability analysis of mechanical components: a case study," 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. 10(6), pages 1646-1653, December.

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