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An approach for prediction of petroleum production facility performance considering Arctic influence factors

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  • Gao, Xueli
  • Barabady, Javad
  • Markeset, Tore

Abstract

As the oil and gas (O&G) industry is increasing the focus on petroleum exploration and development in the Arctic region, it is becoming increasingly important to design exploration and production facilities to suit the local operating conditions. The cold and harsh climate, the long distance from customer and suppliers’ markets, and the sensitive environment may have considerable influence on the choice of design solutions and production performance characteristics such as throughput capacity, reliability, availability, maintainability, and supportability (RAMS) as well as operational and maintenance activities. Due to this, data and information collected for similar systems used in a normal climate may not be suitable. Hence, it is important to study and develop methods for prediction of the production performance characteristics during the design and operation phases.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:reensy:v:95:y:2010:i:8:p:837-846
    DOI: 10.1016/j.ress.2010.03.011
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. 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.
    3. Ali N Qarahasanlou & Abbas Barabadi & Yonas Z Ayele, 2018. "Production performance analysis during operation phase: A case study," Journal of Risk and Reliability, , vol. 232(6), pages 559-575, December.
    4. Barker, Kash & Baroud, Hiba, 2014. "Proportional hazards models of infrastructure system recovery," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 201-206.
    5. Hamzeh Soltanali & A.H.S Garmabaki & Adithya Thaduri & Aditya Parida & Uday Kumar & Abbas Rohani, 2019. "Sustainable production process: An application of reliability, availability, and maintainability methodologies in automotive manufacturing," Journal of Risk and Reliability, , vol. 233(4), pages 682-697, August.
    6. 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.
    7. Wang, Shixuan & Syntetos, Aris A. & Liu, Ying & Di Cairano-Gilfedder, Carla & Naim, Mohamed M., 2023. "Improving automotive garage operations by categorical forecasts using a large number of variables," European Journal of Operational Research, Elsevier, vol. 306(2), pages 893-908.
    8. Barabadi, Abbas & Barabady, Javad & Markeset, Tore, 2011. "Maintainability analysis considering time-dependent and time-independent covariates," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 210-217.
    9. 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.
    10. Rezgar Zaki & Abbas Barabadi & Javad Barabady & Ali Nouri Qarahasanlou, 2022. "Observed and unobserved heterogeneity in failure data analysis," Journal of Risk and Reliability, , vol. 236(1), pages 194-207, February.
    11. Barabadi, A. & Ayele, Y.Z., 2018. "Post-disaster infrastructure recovery: Prediction of recovery rate using historical data," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 209-223.
    12. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2021. "Assessment of safety barrier performance in the mitigation of domino scenarios caused by Natech events," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    13. Shashank Gupta & Srinivas Kota & Rajesh P. Mishra, 2016. "Modeling and evaluation of product quality at conceptual design stage," 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(1), pages 163-177, December.
    14. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2021. "Assessment of risk modification due to safety barrier performance degradation in Natech events," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    15. 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.
    16. Eichhorn Colombo, Konrad W., 2023. "Financial resilience analysis of floating production, storage and offloading plant operated in Norwegian Arctic region: Case study using inter-/transdisciplinary system dynamics modeling and simulatio," Energy, Elsevier, vol. 268(C).
    17. Amin Moniri-Morad & Mohammad Pourgol-Mohammad & Hamid Aghababaei & Javad Sattarvand, 2019. "Reliability-based covariate analysis for complex systems in heterogeneous environment: Case study of mining equipment," Journal of Risk and Reliability, , vol. 233(4), pages 593-604, August.
    18. Luo, Xu & Ge, Zhexue & Zhang, ShiGang & Yang, Yongmin, 2021. "A method for the maintainability evaluation at design stage using maintainability design attributes," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    19. Kumar, Sourabh & Barua, Mukesh Kumar, 2022. "A modeling framework and analysis of challenges faced by the Indian petroleum supply chain," Energy, Elsevier, vol. 239(PE).
    20. Weiliang Qiao & Enze Huang & Hongtongyang Guo & Yang Liu & Xiaoxue Ma, 2022. "Barriers Involved in the Safety Management Systems: A Systematic Review of Literature," IJERPH, MDPI, vol. 19(15), pages 1-35, August.

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