Full Information Numerical Simulation of Two-Dimensional Steady Ground Temperature Field
Source abstract
Abstract
An efficient and precise numerical simulation method of geothermal field is of great significance for the exploitation, evaluation, and sustainable development of geothermal resources. In the face of complex geological conditions, the conventional numerical simulation algorithm of geothermal field has many problems, such as large memory consumption and long calculation times. To solve these problems, this paper proposes an efficient and high-precision numerical simulation method for a full information geothermal field. The temperature field is divided into background field and anomalous field for calculation from the perspective of the superposition of temperature field. The background field is a uniform layered medium, and the anomalous field is converted into one-dimensional ordinary differential equations under different wavenumbers via one-dimensional full information Fourier transform. Memory consumption and computational time are significantly reduced. The equations under different wavenumbers are independent of each other and highly parallel, while retaining vertical spatial domain, with strict upper and lower boundary conditions, which can adapt to the needs of complex terrain simulation. The finite element method is used to solve the one-dimensional ordinary differential equation, and the Thomas algorithm is used to efficiently solve the linear equations with fixed bandwidth, which improves the computational efficiency and realizes the efficient and high-precision numerical simulation of the ground temperature field. The results of the algorithm were compared with COMSOL Multiphysics finite element simulation software to verify the correctness of the algorithm and compare and analyze the improvement of the algorithm in computation time and memory consumption under the same mesh division.
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Research context
OpenAlex topics: Climate change and permafrost · Cryospheric studies and observations · Soil, Finite Element Methods
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Ministry of Education), Central South University, Changsha 410083, China
School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
References (21)
Show source-provided references
1. Review of high-temperature geothermal drilling and exploitation technologies10.1016/j.gr.2022.10.013 ↗
2. Al-Aghbary, M., Sobh, M., and Gerhards, C. (2022). A geothermal heat flow model of Africa based on random forest regression. Front. Earth Sci., 10.10.3389/feart.2022.981899 ↗
3. Prediction of terrestrial heat flow in Songliao Basin based on deep neural network10.1029/2023EA003186 ↗
4. On the thermal effects of groundwater flow: 1. Regional scale systems10.1029/JB088iB01p00593 ↗
5. Finite element methods for geothermal reservoir simulation10.1002/nag.1610070108 ↗
6. Zhang, J.-M., and Xiong, L.-P. (1986). Application of Finite Element Method in Geothermal Research, Science Press.
7. Xu, S.-Z. (1994). Finite Element Method in Geophysics, Science Press.
8. A high-resolution Petrov-Galerkin method for the convection-diffusion-reaction problem. Part II-A multidimensional extension10.1016/j.cma.2011.10.003 ↗
9. A high-resolution Petrov-Galerkin method for the 1D convection–diffusion–reaction problem10.1016/j.cma.2009.10.009 ↗
10. Lovera, O.M., Harrison, M., Schmitt, A.K., Wielicki, M.M., and Tierney, C.R. (2015). Numerical Simulation of Magma Reservoirs to Interpret Chrono-Chemical Signal. AGU Fall Meeting Abstracts, Available online: https://agu.confex.com/agu/fm15/meetingapp.cgi/Paper/81289.
11. Impact of boiling heat transfer on geothermal reservoir simulation using local thermal nonequilibrium model10.1016/j.geothermics.2020.102016 ↗
12. Three dimensional temperature simulation from cooling of two magma chambers in the Las Tres Vírgenes geothermal field, Baja California Sur, Mexico10.1016/j.energy.2013.01.018 ↗
13. Geothermal reservoir simulation: 1. Mathematical models for liquid- and vapor-dominated hydrothermal systems10.1029/WR015i001p00023 ↗
14. Research on 3D numerical simulation of geothermal field in spatial wave-number mixed domain
15. Dai, S., Zhang, Y., Li, K., Chen, Q., and Ling, J. (2022). Arbitrary Sampling Fourier Transform and Its Applications in Magnetic Field Forward Modeling. Appl. Sci., 12.10.3390/app122412706 ↗
16. Classification of partial differential equations10.1137/0102005 ↗
17. Gilbarg, D., and Trudinger, N.S. (2001). Elliptic Partial Differential Equations of Second Order, Springer.10.1007/978-3-642-61798-0 ↗
18. Rapid 2.5-dimensional forward modeling and inversion via a new nonlinear scattering approximation
19. Method for solution of Maxwell’s equations in non-uniform media10.1111/j.1365-246X.1995.tb01841.x ↗
20. High-performance three-dimensional electromagnetic modelling using modified Neumann series. Anisotropic Earth10.5636/jgg.49.1541 ↗
21. Contraction integral equation method in threedimensional electromagnetic modeling10.1029/2001RS002513 ↗