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Component-wise and Unconditionally Energy-Stable VT Flash Calculation

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Computational Science – ICCS 2023 (ICCS 2023)

Abstract

Flash calculations of the hydrocarbon mixture are essential for determining how the mixture phase behaves, which will ultimately affect subsurface flow and transport. In this paper, a novel numerical scheme is proposed for calculating the two-phase equilibrium of Peng-Robinson (PR) fluid at constant volume, temperature, and moles, namely the volume-temperature (VT) flash framework based on the dynamic model. Since the dynamic model is based on the energy dissipation law and the Onsager’s reciprocal principle, we proposed a linear energy-stable scheme with the help of the convex-concave splitting technique, the energy factorization approach, and the component-wise iteration framework. The scheme eventually results in a fully explicit algorithm, and it avoids the challenges of solving non-linear systems and other difficulties in the traditional flash calculation methods. This scheme inherits the original energy stability and significantly reduces the implementation burden. It also achieves convergence unconditionally, even with a huge time step. Numerical experiments are carried out to illustrate its accuracy.

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References

  1. Fan, X., Kou, J., Qiao, Z., Sun, S.: A componentwise convex splitting scheme for diffuse interface models with van der waals and peng-robinson equations of state. SIAM J. Sci. Comput. 39(1), B1–B28 (2017). https://doi.org/10.1137/16M1061552

    Article  MathSciNet  MATH  Google Scholar 

  2. Feng, X., Kou, J., Sun, S.: A novel energy stable numerical scheme for navier-stokes-cahn-hilliard two-phase flow model with variable densities and viscosities. In: Shi, Y., Fu, H., Tian, Y., Krzhizhanovskaya, V.V., Lees, M.H., Dongarra, J., Sloot, P.M.A. (eds.) ICCS 2018. LNCS, vol. 10862, pp. 113–128. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93713-7_9

    Chapter  Google Scholar 

  3. Kou, J., Sun, S.: Efficient energy-stable dynamic modeling of compositional grading. Int. J. Num. Anal. Model. 14(2) (2017). http://www.math.ualberta.ca/ijnam/Volume-14-2017/No-2-17/2017-02-04.pdf

  4. Kou, J., Sun, S.: A stable algorithm for calculating phase equilibria with capillarity at specified moles, volume and temperature using a dynamic model. Fluid Phase Equilib. 456, 7–24 (2018). https://doi.org/10.1016/j.fluid.2017.09.018

    Article  Google Scholar 

  5. Kou, J., Sun, S., Wang, X.: A novel energy factorization approach for the diffuse-interface model with Peng-Robinson equation of state. SIAM J. Sci. Comput. 42(1), B30–B56 (2020). https://doi.org/10.1137/19M1251230

    Article  MathSciNet  MATH  Google Scholar 

  6. Li, Y., Kou, J., Sun, S.: Numerical modeling of isothermal compositional grading by convex splitting methods. J. Nat. Gas Sci. Eng. 43, 207–221 (2017). https://doi.org/10.1016/j.jngse.2017.03.019

    Article  Google Scholar 

  7. Mikyška, J., Firoozabadi, A.: A new thermodynamic function for phase-splitting at constant temperature, moles, and volume. AIChE J. 57(7), 1897–1904 (2011). https://doi.org/10.1002/aic.12387

    Article  Google Scholar 

  8. Song, R., Feng, X., Wang, Y., Sun, S., Liu, J.: Dissociation and transport modeling of methane hydrate in core-scale sandy sediments: a comparative study. Energy 221, 119890 (2021). https://doi.org/10.1016/j.energy.2021.119890

    Article  Google Scholar 

  9. Song, R., Sun, S., Liu, J., Feng, X.: Numerical modeling on hydrate formation and evaluating the influencing factors of its heterogeneity in core-scale sandy sediment. J. Nat. Gas Sci. Eng. 90, 103945 (2021). https://doi.org/10.1016/j.jngse.2021.103945

    Article  Google Scholar 

  10. Zhang, T., Li, Y., Sun, S.: Phase equilibrium calculations in shale gas reservoirs. Capillarity 2(1), 8–16 (2019), https://doi.org/10.26804/capi.2019.01.02

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Acknowledgments

This study is partially funded by KAUST grants BAS/1/1351-01, URF/1/4074-01, and URF/1/3769-01, as well as by the Ministry of Science and Technology, R.O.C. (No. 108-2115-M-194-004-MY2), the National Natural Science Foundation of China (No. 51874262 and No. 51936001), the Peacock Plan Foundation of Shenzhen (No. 000255) and the General Program of Natural Science Foundation of Shenzhen (No. 20200801100615003).

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Correspondence to Shuyu Sun .

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Feng, X., Chen, MH., Wu, Y., Sun, S., Zhang, T. (2023). Component-wise and Unconditionally Energy-Stable VT Flash Calculation. In: Mikyška, J., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M. (eds) Computational Science – ICCS 2023. ICCS 2023. Lecture Notes in Computer Science, vol 10477. Springer, Cham. https://doi.org/10.1007/978-3-031-36030-5_30

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  • DOI: https://doi.org/10.1007/978-3-031-36030-5_30

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  • Online ISBN: 978-3-031-36030-5

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