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Energy optimization of an FPSO operating in the Brazilian Pre-salt region

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  • Allahyarzadeh-Bidgoli, Ali
  • Salviano, Leandro Oliveira
  • Dezan, Daniel Jonas
  • de Oliveira Junior, Silvio
  • Yanagihara, Jurandir Itizo

Abstract

FPSO (Floating, Production, Storage and Offloading) units are used for primary petroleum processing. The FPSO units have a technical advantage for short-lived well exploration and for remote marginal fields, where building a pipeline is cost-prohibitive. Considering the relevance of the FPSOs for the Brazilian petroleum market, the main goal of this paper is to present an optimization procedure to find the best operating conditions of a primary petroleum platform processing crude oil with high gas-oil ratio (GOR) and moderate CO2 content. Seven input parameters related to operating pressures of plant are selected for the optimization procedure aiming to minimize the total fuel consumption (FUE) of the FPSO. For the optimization procedure, the processing plant of the FPSO is modeled and simulated by using Aspen HYSYS®, and the Genetic Algorithm is used for minimizing the objective function. The optimum operating condition found by the optimization procedure presented a reduction in fuel consumption by 4.6% when compared to a conventional operating condition. Moreover, because of the fuel consumption optimization, a significant reduction by 6.3% in the power consumption of the plant and an improvement in the recovery of the volatile components were verified, in comparison with the baseline case.

Suggested Citation

  • Allahyarzadeh-Bidgoli, Ali & Salviano, Leandro Oliveira & Dezan, Daniel Jonas & de Oliveira Junior, Silvio & Yanagihara, Jurandir Itizo, 2018. "Energy optimization of an FPSO operating in the Brazilian Pre-salt region," Energy, Elsevier, vol. 164(C), pages 390-399.
    • Handle: RePEc:eee:energy:v:164:y:2018:i:c:p:390-399
    DOI: 10.1016/j.energy.2018.08.203
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    References listed on IDEAS

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    1. Voldsund, Mari & Nguyen, Tuong-Van & Elmegaard, Brian & Ertesvåg, Ivar S. & Røsjorde, Audun & Jøssang, Knut & Kjelstrup, Signe, 2014. "Exergy destruction and losses on four North Sea offshore platforms: A comparative study of the oil and gas processing plants," Energy, Elsevier, vol. 74(C), pages 45-58.
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    3. Nguyen, Tuong-Van & Pierobon, Leonardo & Elmegaard, Brian & Haglind, Fredrik & Breuhaus, Peter & Voldsund, Mari, 2013. "Exergetic assessment of energy systems on North Sea oil and gas platforms," Energy, Elsevier, vol. 62(C), pages 23-36.
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    Cited by:

    1. M. Montañés, Rubén & Hagen, Brede & Deng, Han & Skaugen, Geir & Morin, Nicolas & Andersen, Marius & J. Mazzetti, Marit, 2023. "Design optimization of compact gas turbine and steam combined cycles for combined heat and power production in a FPSO system–A case study," Energy, Elsevier, vol. 282(C).
    2. Soon-kyu Hwang & Byung-gun Jung & Jong-kap Ahn, 2022. "A Novel Proposal for Optimal Performance of Blanket Gas System for FPSOs," Energies, MDPI, vol. 15(18), pages 1-19, September.
    3. Ma, Xiaojuan & Wu, Xinghong & Wu, Yan & Wang, Yufei, 2023. "Energy system design of offshore natural gas hydrates mining platforms considering multi-period floating wind farm optimization and production profile fluctuation," Energy, Elsevier, vol. 265(C).
    4. Allahyarzadeh-Bidgoli, Ali & Yanagihara, Jurandir Itizo, 2023. "Energy efficiency, sustainability, and operating cost optimization of an FPSO with CCUS: An innovation in CO2 compression and injection systems," Energy, Elsevier, vol. 267(C).
    5. Allahyarzadeh-Bidgoli, Ali & Dezan, Daniel Jonas & Salviano, Leandro Oliveira & de Oliveira Junior, Silvio & Yanagihara, Jurandir Itizo, 2019. "FPSO fuel consumption and hydrocarbon liquids recovery optimization over the lifetime of a deep-water oil field," Energy, Elsevier, vol. 181(C), pages 927-942.
    6. Li, Zhuochao & Zhang, Haoran & Meng, Jing & Long, Yin & Yan, Yamin & Li, Meixuan & Huang, Zhongliang & Liang, Yongtu, 2020. "Reducing carbon footprint of deep-sea oil and gas field exploitation by optimization for Floating Production Storage and Offloading," Applied Energy, Elsevier, vol. 261(C).

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