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Advances in Pore-Scale Simulation of Oil Reservoirs

Author

Listed:
  • Junwei Su

    (School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Le Wang

    (School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Zhaolin Gu

    (School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Yunwei Zhang

    (School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Chungang Chen

    (School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

At the high water cut stage, the residual oil in a reservoir becomes complex and dispersed. Moreover, it is challenging to achieve good predictions of the movement of oil and water in a reservoir according to the macroscopic models based on the statistic parameters of this scenario. However, pore-scale simulation technology based on directly tracking the interaction among different phases can make an accurate prediction of the fluid distribution in the pore space, which is highly important in the improvement of the recovery rate. In this work, pore-scale simulation methods, including the pore network model, lattice Boltzmann method, Navier–Stokes equation-based interface tracking methods, and smoothed particle hydrodynamics, and relevant technologies are summarized. The principles, advantages, and disadvantages, as well as the degree of difficulty in the implementation are analyzed and compared. Problems in the current simulation technologies, micro sub-models, and applications in physicochemical percolation are also discussed. Finally, potential developments and prospects in this field are summarized.

Suggested Citation

  • Junwei Su & Le Wang & Zhaolin Gu & Yunwei Zhang & Chungang Chen, 2018. "Advances in Pore-Scale Simulation of Oil Reservoirs," Energies, MDPI, vol. 11(5), pages 1-17, May.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1132-:d:144370
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    References listed on IDEAS

    as
    1. Bravo, Maria C. & Araujo, Mariela & Lago, Marcelo E., 2007. "Pore network modeling of two-phase flow in a liquid-(disconnected) gas system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 375(1), pages 1-17.
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    Cited by:

    1. Saraf, Shubham & Bera, Achinta, 2021. "A review on pore-scale modeling and CT scan technique to characterize the trapped carbon dioxide in impermeable reservoir rocks during sequestration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    2. Tao Ning & Meng Xi & Bingtao Hu & Le Wang & Chuanqing Huang & Junwei Su, 2021. "Effect of Viscosity Action and Capillarity on Pore-Scale Oil–Water Flowing Behaviors in a Low-Permeability Sandstone Waterflood," Energies, MDPI, vol. 14(24), pages 1-30, December.
    3. Randi Tosterud & Kristin Kjølberg & Arnhild Vestnes Kongshaug & Jon Viktor Haugom, 2020. "Exploration of Two Different Structures for Debriefing in Simulation: The Influence of the Structure on the Facilitator Role," Simulation & Gaming, , vol. 51(2), pages 243-257, April.
    4. Xiangbin Liu & Le Wang & Jun Wang & Junwei Su, 2021. "Pore-Scale Simulation of Particle Flooding for Enhancing Oil Recovery," Energies, MDPI, vol. 14(8), pages 1-23, April.
    5. Masoud Mohammadi & Masoud Riazi, 2022. "Applicable Investigation of SPH in Characterization of Fluid Flow in Uniform and Non-Uniform Periodic Porous Media," Sustainability, MDPI, vol. 14(21), pages 1-22, November.
    6. Guillaume Lamé & Sonya Crowe & Matthew Barclay, 2022. "‘What’s the evidence?’—Towards more empirical evaluations of the impact of OR interventions in healthcare," Post-Print hal-03035075, HAL.
    7. Marcin Kremieniewski, 2022. "Improving the Efficiency of Oil Recovery in Research and Development," Energies, MDPI, vol. 15(12), pages 1-7, June.
    8. Janusz Badur & Michel Feidt & Paweł Ziółkowski, 2020. "Neoclassical Navier–Stokes Equations Considering the Gyftopoulos–Beretta Exposition of Thermodynamics," Energies, MDPI, vol. 13(7), pages 1-34, April.

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