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Entropy Generation Minimization of Two-Phase Flow Irreversibilities in Hydrocarbon Reservoirs

Author

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  • Murtada A. Elhaj

    (Faculty of Engineering and Applied Science, Memorial University, St. John’s, NL A1B 3X5, Canada)

  • Syed A. Imtiaz

    (Faculty of Engineering and Applied Science, Memorial University, St. John’s, NL A1B 3X5, Canada)

  • Greg F. Naterer

    (Faculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE C1A 4P3, Canada)

  • Sohrab Zendehboudi

    (Faculty of Engineering and Applied Science, Memorial University, St. John’s, NL A1B 3X5, Canada)

Abstract

The efficient use of available energy in hydrocarbon extraction processes is essential to reducing overall emissions in the petroleum industry. The inefficient design of an extraction process leads to higher emissions per unit mass of hydrocarbon recovery. Fluid friction and heat transfer are irreversible processes that are vital in decreasing the overall system’s operational efficiency. To reduce these irreversible energy losses in the petroleum reservoir production’s life, contributing factors such as the characteristic features of a reservoir formation, reservoir fluids, and production rate are investigated in this paper. This study examines irreversible energy loss in porous media and wellbore formations using entropy generation minimization at various stages of production and thermodynamic conditions, eventually achieving higher hydrocarbon recovery factors. Entropy production is used to develop predictive models that calculate reservoir and wellbore energy losses for multiphase flow. The proposed models consider oil and water as the working fluids in a porous medium and a wellbore. This paper also investigates the thermophysical effects around the wellbore by incorporating Hawkin’s model. A sensitivity analysis assessed the impact of rock and fluid properties and thermodynamic conditions such as temperature, wettability, and capillary pressure on the total entropy generation. The findings reveal that the capillary pressure significantly impacts the oil and water recovery factor and total entropy production. Additionally, the capillary pressure strongly influences the reservoir production life. The two-phase models show that as the recovery factor increases, the total entropy production decreases at lower production rates. This article helps to address the impact of irreversible processes on multiphase hydrocarbon reservoir operational efficiency. Furthermore, the results obtained from the numerical-simulation model open up a new research area for scholars to maximize the recovery factor using entropy generation minimization in heterogeneous reservoirs.

Suggested Citation

  • Murtada A. Elhaj & Syed A. Imtiaz & Greg F. Naterer & Sohrab Zendehboudi, 2023. "Entropy Generation Minimization of Two-Phase Flow Irreversibilities in Hydrocarbon Reservoirs," Energies, MDPI, vol. 16(10), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:10:p:4096-:d:1147182
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    References listed on IDEAS

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    1. Yousef Haseli, 2021. "Interpretation of Entropy Calculations in Energy Conversion Systems," Energies, MDPI, vol. 14(21), pages 1-14, October.
    2. Sangi, Roozbeh & Müller, Dirk, 2019. "Application of the second law of thermodynamics to control: A review," Energy, Elsevier, vol. 174(C), pages 938-953.
    3. Bidi, M. & Nobari, M.R.H. & Avval, M. Saffar, 2010. "A numerical evaluation of combustion in porous media by EGM (Entropy Generation Minimization)," Energy, Elsevier, vol. 35(8), pages 3483-3500.
    4. Adrian Bejan & George Tsatsaronis, 2021. "Purpose in Thermodynamics," Energies, MDPI, vol. 14(2), pages 1-25, January.
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