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The Investigation of Permeability Calculation Using Digital Core Simulation Technology

Author

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  • Lei Zhang

    (School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
    Key Laboratory of Unconventional Oil & Gas Development (China University of Petroleum (East China)), Ministry of Education, Qingdao 266580, China)

  • Wenlong Jing

    (School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China)

  • Yongfei Yang

    (Key Laboratory of Unconventional Oil & Gas Development (China University of Petroleum (East China)), Ministry of Education, Qingdao 266580, China)

  • Hainan Yang

    (PetroChina Oil & Gas Technology Research Institute of Changqing Oil Field, Xi’an 710018, China)

  • Yaohao Guo

    (Key Laboratory of Unconventional Oil & Gas Development (China University of Petroleum (East China)), Ministry of Education, Qingdao 266580, China)

  • Hai Sun

    (Key Laboratory of Unconventional Oil & Gas Development (China University of Petroleum (East China)), Ministry of Education, Qingdao 266580, China)

  • Jianlin Zhao

    (Department of Mechanical and Process Engineering, ETH Zurich, 8092 Zurich, Switzerland)

  • Jun Yao

    (Key Laboratory of Unconventional Oil & Gas Development (China University of Petroleum (East China)), Ministry of Education, Qingdao 266580, China)

Abstract

Digital core simulation technology, as an emerging numerical simulation method, has gradually come to play a significant role in the study of petrophysical properties. By using this numerical simulation method, the influence of micro factors on seepage properties of reservoir rock is taken into consideration, making up the shortcomings of the traditional physical experiment. Three-dimensional core images are reconstructed by a computed tomography scanning technique. Different sizes of the sub-region were simulated by three methods including the direct computation of Navier-Stokes equations, the simulation of the pore network model, and the lattice Boltzmann method. The permeability computed by each simulation was compared. After comparison between these three methods, the results of the direct computation method based on Navier-Stokes equations were found to be higher than the other two methods. The pore network model simulation has an obvious advantage on the computation speed and the simulation area. The lattice Boltzmann method shows the low efficiency due to the time-consuming process. At last, the permeability calculated by the three methods is matched by the Kozeny-Carman equation. A more accurate formula can be obtained by a series of numerical simulations, which can be applied to marco-scale simulation.

Suggested Citation

  • Lei Zhang & Wenlong Jing & Yongfei Yang & Hainan Yang & Yaohao Guo & Hai Sun & Jianlin Zhao & Jun Yao, 2019. "The Investigation of Permeability Calculation Using Digital Core Simulation Technology," Energies, MDPI, vol. 12(17), pages 1-9, August.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:17:p:3273-:d:260919
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    Citations

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    Cited by:

    1. Cees J. L. Willems & Chaojie Cheng & Sean M. Watson & James Minto & Aislinn Williams & David Walls & Harald Milsch & Neil M. Burnside & Rob Westaway, 2021. "Permeability and Mineralogy of the Újfalu Formation, Hungary, from Production Tests and Experimental Rock Characterization: Implications for Geothermal Heat Projects," Energies, MDPI, vol. 14(14), pages 1-25, July.
    2. Xia Yan & Zhaoqin Huang & Qi Zhang & Dongyan Fan & Jun Yao, 2020. "Numerical Investigation of the Effect of Partially Propped Fracture Closure on Gas Production in Fractured Shale Reservoirs," Energies, MDPI, vol. 13(20), pages 1, October.
    3. Hai Sun & Lian Duan & Lei Liu & Weipeng Fan & Dongyan Fan & Jun Yao & Lei Zhang & Yongfei Yang & Jianlin Zhao, 2019. "The Influence of Micro-Fractures on the Flow in Tight Oil Reservoirs Based on Pore-Network Models," Energies, MDPI, vol. 12(21), pages 1-17, October.
    4. Yaohao Guo & Lei Zhang & Guangpu Zhu & Jun Yao & Hai Sun & Wenhui Song & Yongfei Yang & Jianlin Zhao, 2019. "A Pore-Scale Investigation of Residual Oil Distributions and Enhanced Oil Recovery Methods," Energies, MDPI, vol. 12(19), pages 1-16, September.

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