Abstract
In this paper, a new time-dependent 2D/3D stochastic closed-loop geothermal system with multiplicative noise is developed and studied. This model considers heat transfer between the free flow in the pipe region and the porous media flow in the porous media region. Darcy’s law and stochastic Navier-Stokes equations are used to control the flows in the pipe and porous media regions, respectively. The heat equation is coupled with the flow equation to describe the heat transfer in these both regions. In order to avoid sub-optimal convergence, a new mixed finite element method is proposed by using the Helmholtz decomposition that drives the multiplicative noise. Then, the stability of the proposed method is proved, and we obtain the optimal convergence order \(o(\Delta t^{\frac{1}{2}}+h)\) of global error estimation. Finally, numerical results indicate the efficiency of the proposed model and the accuracy of the numerical method.
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The datasets generated during and analysed during the current study are available from the corresponding author on reasonable request.
References
Bundschuh, J., Arriaga, M.C.S.: Introduction to the Numerical Modeling of Groundwater and Geothermal Systems: Fundamentals of Mass, Energy and Solute Transport in Poroelastic Rocks, CRC Press, Boca Raton, FL, USA, (2010)
Lund, J.W., Boyd, T.L.: Direct utilization of geothermal energy 2015 worldwide review. Geothermics. 60, 66–93 (2016)
Bezyan, B., Porkhial, S., Mehrizi, A.A.: 3-D simulation of heat transfer rate in geothermal pile-foundation heat exchangers with spiral pipe configuration. Appl. Therm. Eng. 87, 655–668 (2015)
Hecht-M’endez, J., Paly, M.D., Beck, M., et al.: Optimization of energy extraction for vertical closed-loop geothermal systems considering groundwater flow. Energy Convers. Manag. 66, 1–10 (2013)
Oldenburg, C.M., Pan, L., Muir, M.P., et al.: Numerical Simulation of Critical Factors Controlling Heat Extraction from Geothermal Systems Using a Closed-Loop Heat Exchange Method, Proceedings, 41st Workshop on Geothermal Reservoir Engineering. Stanford University, Stanford, California (2016)
Wu, B.S., Ma, T.S., Feng, G.H., et al.: An approximate solution for predicting the heat extraction and preventing heat loss from a closed-loop geothermal reservoir. Geofluids. 2017, 1–17 (2017)
Cao, L.L., He, Y.N., Li, J.: A parallel Robin-Robin domain decomposition method based on modified characteristic FEMs for the time-dependent Dual-porosity-Navier-Stokes model with the Beavers-Joseph interface condition. J. Sci. Comput. 90, 1–34 (2022)
Li, J.: Numerical Method of Navier-Stokes Equations for Incompressible Flows. Science Press, Beijing (2019). ((in Chinese))
Li, J., Bai, Y., Zhao, X.: Modern Numerical Methods for Mathematical Physics Equations. Science Press, Beijing (2022). ((in Chinese))
Li, J., Lin, X., Chen, Z.X.: Finite Volume Methods for the Incompressible Navier-Stokes Equations, SpringerVerlag, Berlin, Heidelberg, (2023)
Cao, L.L., He, Y.N., Li, J., et al.: Decoupled modified characteristic FEMs for fully evolutionary Navier-Stokes-Darcy model with the Beavers-Joseph interface condition. J. Comput. Appl. Math. 383, 113128 (2021)
Li, J., Lin, X.L., Zhao, X.: Optimal estimates on stabilized finite volume methods for the incompressible Navier-Stokes model in three dimensions. Numer. Method Partial Diff. Equat. 35(1), 128–154 (2019)
Li, R., Gao, Y., Li, J., Chen, Z.X.: Discontinuous finite volume element method for a coupled non-stationary Stokes-Darcy problem. J. Sci. Comput. 74, 693–727 (2018)
Mahbub, M.A.A., He, X.M., Nasu, N.J., et al.: A coupled multiphysics model and a decoupled stabilized finite element method for the closed-loop geothermal system. SIAM J. Sci. Comput. 42(4), 951–982 (2020)
Qin, Y., Wang, Y.S., Li, J.: A variable time step time filter algorithm for the geothermal system. SIAM J. Numer. Analy. 60, 2781–2806 (2022)
Zhang, W., Li, J.: PDNNs: the parallel deep neural networks for the Navier-Stokes equations coupled with heat equation. International Journal For Numerical Method in Fluids. 14, 1–15 (2022)
Bensoussan, A., Temam, R.: Equations stochastiques du type Navier-Stokes. J. Funct. Anal. 13(2), 195–222 (1973)
Bessaih, H., Millet, A.: On strong \(L^{2}\) convergence of time numerical schemes for the stochastic 2D Navier-Stokes equations. IMA J. Numer. Anal. 39, 2135–2167 (2018)
Brzézniak, Z., Carelli, E., Prohl, A.: Finite element based discretizations of the incompressible Navier-Stokes equations with multiplicative random forcing. IMA J. Numer. Anal. 33(3), 771–824 (2013)
Carelli, E., Hausenblas, E., Prohl, A.: Time-splitting methods to solve the stochastic incompressible Stokes equations. Siam J. Numer. Anal. 50(6), 2917–2939 (2012)
Bensoussan, A.: Stochastic Navier-Stokes equations. Acta Applicandae. Mathematica. 38(3), 267–304 (1995)
Yu, J.P., Mahbub, M.A.A., Feng, S., et al.: Stabilized finite element method for the stationary mixed Stokes-Darcy problem. Advances in Difference Equations. 2018(1), 1–19 (2018)
Flandoli, F., Gatarek, D.: Martingale and stationary solutions for stochastic Navier-Stokes equations. Probab. Theory Relat. Fields. 102(3), 367–391 (1995)
Si, Z.Y., Wang, Y.X., Li, S.S.: Decoupled modified characteristics finite element method for the time dependent Navier-Stokes/Darcy problem. Math. Methods Appl. Sci. 37(9), 1392–1404 (2014)
Tambue, A., Mukam, J.D.: Strong convergence and stability of the semi-tamed and tamed Euler schemes for stochastic differential equations with jumps under non-global Lipschitz condition. Int. J. Numer. Anal. Model. 16(6), 847–872 (2019)
Li, J., Chen, Z.X., He, Y.N.: A stabilized multi-level method for non-singular finite volume solutions of the stationary 3D Navier-Stokes equations. Numer. Math. 122(2), 279–304 (2012)
Li, J., Lin, X.L., Zhao, X.: Optimal estimates on stabilized finite volume methods for the incompressible Navier-Stokes model in three dimensions. Numerical Methods for Partial Differential Equations. 35(1), 128–154 (2019)
Li, R., Li, J., He, X.M., et al.: A stabilized finite volume element method for a coupled Stokes-Darcy problem. Appl. Numer. Math. 133, 2–24 (2017)
Mikulevicius, R., Rozovskii, B.L.: Stochastic Navier-Stokes equations for turbulent flows. SIAM J. Math. Anal. 35(5), 1250–1310 (2004)
Prato, G.D., Debussche, A.: Ergodicity for the 3D stochastic Navier-Stokes equations. Journal de Mathematiques Pures et Appliquees. 82(8), 877–947 (2003)
Debussche, A., Odasso, C.: Markov solutions for the 3D stochastic Navier-Stokes equations with state dependent noise. J. Evol. Equ. 6(2), 305–324 (2006)
Hofmanová, M., Zhu, R., Zhu, X.: Global-in-time probabilistically strong and Markov solutions to stochastic 3D Navier-Stokes equations: Existence and non-uniqueness. arXiv:2104.09889 (2021)
Hofmanová, M., Zhu, R., Zhu, X.: Non-unique ergodicity for deterministic and stochastic 3D Navier-Stokes and Euler equations. arXiv:2208.08290v1 (2022)
Langa, J.A., Real, J., Simon, J.: Existence and Regularity of the Pressure for the Stochastic Navier-Stokes Equations. Appl. Math. Optim. 48(3), 195–210 (2003)
Feng, X.B., Qiu, H.L.: Analysis of fully discrete mixed finite element methods for time-dependent stochastic stokes equations with multiplicative noise. J. Sci. Comput. 88(2), (2021)
Feng, X.B., Prohl, A., Vo, L.: Optimally convergent mixed finite element methods for the stochastic Stokes equations. IMA J. Numer. Anal. 41(3), 2280–2310 (2021)
Temam, R.: Navier-Stokes Equations. North-Holland, Amsterdam, New York (1984)
Li, S., Hou, Y.R.: A fully discrete stabilized finite element method for the time-dependent Navier-Stokes equations. Appl. Math. Comput. 215(1), 85–99 (2009)
Li, J., Liu, Q., Yue, J.: Numerical analysis of fully discrete finite element methods for the stochastic Navier-Stokes equations with multiplicative noise. Appl. Numer. Math. 170, 398–417 (2021)
Rybak, I., Magiera, J.: A multiple-time-step technique for coupled free flow and porous medium systems. J. Comput. Phys. 272(5), 327–342 (2014)
Wan, D.C., Patnaik, B.S.V., Wei, G.W.: A new benchmark quality solution for the buoyancy-driven cavity by discrete singular convolution. Numerical Heat Transfer Part B Fundamentals. 40(3), 199–228 (2001)
Manzari, M.T.: An explicit finite element algorithm for convective heat transfer problems. International Journal of Numerical Methods for Heat and Fluid Flow. 9(8), 860–877 (1999)
Zhang, Y.Z., Hou, Y.R., Zheng, H.B.: A finite element variational multiscale method for steady-state natural convection problem based on two local gauss integrations. Numerical Methods for Partial Differential Equations. 30(2), 361–375 (2013)
Zhang, Y.Z., Hou, Y.R., Zhao, J.P.: Error analysis of a fully discrete finite element variational multiscale method for the natural convection problem. Computers and Mathematics with Applications. 68(4), 543–567 (2014)
Langa, J.A., Real, J., Simon, J.: Existence and Regularity of the Pressure for the Stochastic Navier-Stokes Equations. Appl. Math. Optim. 48, 195–210 (2003)
Temam, R.: Navier-Stokes Equations: Theory and Numerical Analysis. North-Holland, Amsterdam (1984)
Burns, J.A., He, X.M., Hu, W.: Feedback stabilization of a thermal fluid system with mixed boundary control, in honor of Max Gunzburger’s 70th birthday. Computers and Mathematics with Applications. 71, 2170–2191 (2016)
Hirata, S.C., Goyeau, B., Gobin, D., et al.: Linear stability of natural convection in superposed fluid and porous layers: Influence of the interfacial modeling. Int. J. Heat Mass Transfer. 50, 1356–1367 (2007)
Layton, W.J., Yotov, S.I.: Coupling fluid flow with porous media flow. SIAM J. Numer. Anal. 40(6), 2195–2195 (2002)
Brezzi, F., Douglas, J., Marini, L.D.: Two families of mixed elements for second order elliptic problems. Numer. Math. 47, 217–235 (1985)
Mu, M., Zhu, X.H.: Decoupled schemes for a non-stationary mixed Stokes-Darcy model. Math. Comput. 79(270), 707–731 (2009)
Choi, W., Ooka, R.: Effect of natural convection on thermal response test conducted in saturated porous formation: Comparison of gravel-backfilled and cement-grouted borehole heat exchangers. Renew. Energy. 96, 891–903 (2016)
Oldenburg, C.M., Pan, L., Muir, M.P., et al: Numerical simulation of critical factors controlling heat extraction from geothermal systems using a closed-loop heat exchange method, in Proceedings of the 41st Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, CA, 1-8 (2016)
Girault, V., Raviart, P.A: Finite Element Methods for Navier-Stokes Equations, Springer, New York (1986)
Qiu, C.X., He, X.M., Li, J., Lin, Y.P.: A domain decomposition method for the time-dependent Navier-Stokes-Darcy model with Beavers-Joseph interface condition and defective boundary condition. J. Comput. Phys. 411(15), 109400 (2020)
Li, J., Yue, J., Zhang, W., Duan, W.S.: The deep learning Galerkin method for the general Stokes equations. J. Sci. Comput. 93, 1–20 (2022)
He, X.M., Li, J., Lin, Y.P., Ming, J.: A domain decomposition method for the steady-state Navier-Stokes-Darcy model with Beavers-Joseph interface condition. SIAM J. Sci. Comput. 37(5), 264–290 (2015)
Li, J., Zeng, J.Y., Li, R.: An adaptive discontinuous finite volume element method for the Allen-Cahn equation. Advanced in Computational Mathematics. 49(4), 55 (2023)
Li, J., Chen, Z.X.: On the semi-discrete stabilized finite volume method for the transient Navier?Stokes equations. Adv. Comput. Math. 38(2), 281–320 (2013)
Li, J., Chen, Z.X.: Optimal \(L^2\), \(H^1\) and \(L^\infty \) analysis of finite volume methods for the stationary Navier-Stokes equations with large data. Numer. Math. 126(1), 75–101 (2014)
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Supported in part by NSF of China (No. 11771259 and No. 12001347), Shaanxi Provincial Joint Laboratory of Artificial Intelligence (No. 2022JC-SYS-05), Innovative team project of Shaanxi Provincial Department of Education (No. 21JP013 and No. 21JP019), Shaanxi Province Natural Science basic research program key project (No. 2023-JC-ZD-02), National High-end Foreign Experts Recruitment Plan (No. G2023041032L), Energy Mathematics and Data Fusion Key Laboratory of Higher Education in Shaanxi Province, Shaanxi Provincial Demonstration Base for the Introduction of Foreign Intelligence: Mathematics and data science cross-integration innovation and intelligence introduction base.
A Appendix
A Appendix
Proof of Theorem 3.2. In (2.32) - (2.35), let \(t=t_{n+1}\) and \(t=t_{n}\), and then make the difference. Subtract (3.1) - (3.6) from the resulting formula and define \(a_{f}^{n+1}\!=\!\textbf{u}_{f}(t_{n+1})\!-\textbf{u}_{f}^{n+1},b_{f}^{n+1}\!=\!R(t_{n+1})\!-r_{f}^{n+1}, c_{f}^{n+1}\!=\!\theta _{f}(t_{n+1})\!-\theta _{f}^{n+1}; a_{p}^{n+1}\!=\textbf{u}_{p}(t_{n+1})-\textbf{u}_{p}^{n+1},b_{p}^{n}\!=\phi _{p}(t_{n+1})\!-\phi _{p}^{n+1}, c_{p}^{n}\!=\!\theta _{p}(t_{n+1})-\theta _{p}^{n+1}\), we get
Taking \(\textbf{v}_{f}=2a_{f}^{n+1},\varphi =2c_{f}^{n+1};\textbf{v}_{p}=2a_{p}^{n+1},\omega =2c_{p}^{n+1}\), and using the identity \(2(a-b,a)=a^{2}-b^{2}+(a-b)^{2}\), we find that
Using the Cauchy-Schwarz inequality, the Young inequality and (2.36), yields
As for the trilinear term, we can bound
Similarly, we can get
Applying the trace inequality, the inverse inequality and (2.36), we obtain
Thanks to the Cauchy-Schwarz inequality, the Young’s inequality and (2.36), yield the following inequalities
By the definition of the martingale, (2.27), (2.20) and (2.36), we can get
Substitute (A.3) - (A.15) into (A.2), taking the sum from \(n=0\) to \(l-1\), using Gronwall’s lemma, and taking the expectation, we obtain
where \(\gamma >8C_{inv}\). Thus we prove that (3.11).
Decoupling (2.32), let \(t=t_{n+1}\) and \(t=t_{n}\), and then make the difference. Subtract (3.1) from the resulting formula to get
Thus, sum from n=0 to \(l-1\) of the above equations, using the Cauchy-Schwarz inequality, (A.3), (A.8) and (A.15), we gain
Taking the expectation of the above inequality and using the inf-sup condition, we can obtain
which implies (3.11).
Decoupling (2.32), let \(t=t_{n+1}\) and \(t=t_{n}\), and then make the difference. Subtract (3.4) from the resulting formula to get
Thus, sum from \(n=0\) to \(l-1\) of the above equations, using the Cauchy-Schwarz inequality and (A.5), we gain
Taking the expectation of the above inequality and using the inf-sup condition, we can obtain
At this point, the proof of 3.12 is complete.
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Gao, X., Qin, Y. & Li, J. Optimally convergent mixed finite element methods for the time-dependent 2D/3D stochastic closed-loop geothermal system with multiplicative noise. Adv Comput Math 50, 46 (2024). https://doi.org/10.1007/s10444-024-10122-x
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DOI: https://doi.org/10.1007/s10444-024-10122-x