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Numerical Simulation of Water-Flooding Reservoirs Considering Permeability Time Variation Base on Mimetic Finite Difference Method

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Computational and Experimental Simulations in Engineering (ICCES 2023)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 143))

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Abstract

In this paper, we present a fully implicit mimetic finite difference (MFD) for absolute permeability time variation simulation. The MFD is a novel numerical discretization scheme that has been successfully applied to many fields and it is characterized by local conservation properties and applicability to complex grids. In our work, a new method to simulate permeability time variation properties based on mimetic finite difference method is put forward for physical properties time variation influencing the remaining oil distribution and reservoir development effect problems. Firstly, well test permeability is fitted, and a water flooding mathematical model considering the variation of permeability based on injected water time is proposed. The model is discretized using mimetic finite difference method, which is described in details. Finally, a fully implicit scheme is used for the solution of the model and the influence of different permeability multiples on distribution of residual oil, pressure, and streamline is analyzed. The results show that, when the permeability changes with time, more water channeling can occur, inducing a negative effect on oil production. Compared to traditional reservoir characterization methods, this technology reflects real condition of the reservoirs and can provide useful guidelines for further production optimization.

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Authors and Affiliations

  1. College of Energy Resources, Chengdu University of Technology, Chengdu Sichuan, 610059, China

    Shaochun Wang, Na Zhang, Qian Sun & Tao Liu

Authors
  1. Shaochun Wang
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  2. Na Zhang
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  3. Qian Sun
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  4. Tao Liu
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Corresponding author

Correspondence to Na Zhang .

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Editors and Affiliations

  1. Dept of Civil and Env'l Engg, University of California, Berkeley, Berkeley, CA, USA

    Shaofan Li

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Wang, S., Zhang, N., Sun, Q., Liu, T. (2024). Numerical Simulation of Water-Flooding Reservoirs Considering Permeability Time Variation Base on Mimetic Finite Difference Method. In: Li, S. (eds) Computational and Experimental Simulations in Engineering. ICCES 2023. Mechanisms and Machine Science, vol 143. Springer, Cham. https://doi.org/10.1007/978-3-031-42515-8_48

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  • DOI: https://doi.org/10.1007/978-3-031-42515-8_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42514-1

  • Online ISBN: 978-3-031-42515-8

  • eBook Packages: EngineeringEngineering (R0)

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