An Analytical Geothermal Model and Its Implications for Geothermal Engineering Design

Authors

  • Erlong Yang Northeast Petroleum University, Daqing 163318, Heilongjiang, China
  • James J. Sheng exas Tech University, Lubbock, TX 79409, USA

Keywords:

Geothermal, Heat transfer, Clean energy, Heat conduction, Sustainability

Abstract

This study presents an analytical model to predict the temperature of the produced fluid and the cumulative heat production from a geothermal reservoir by cycling cold water injection. First, the solutions of the temperature of the produced fluid, the net heat production rate and the cumulative heat production are derived. Then each parameter of the analytical model is analyzed to study the sensitivity and the implications of designing a geothermal project. The derived solutions may be further used to develop other solutions or methods for geothermal engineering. From the quantitative analysis of model results, it is found that a waiting time of year is needed to produce heat until injected water breaks through in a dry geothermal system. After the breakthrough, the temperature of produced fluid is low compared to the initial reservoir temperature. This reduces the heat output. To improve that, the production rate must be high, but the residence time must be long. From that point of view, when designing a practical project, a horizontal well is preferred because of a high rate, and a large well spacing is preferred because of longer residence time. Formation thickness or injected fluid temperature does not affect the heat production significantly, but thermal conductivity does.

References

Anderson, A., Rezaie, B., 2019. Geothermal technology: Trends and potential role in a sustainable future, Applied Energy 248, 18-34. https://doi.org/10.1016/j.apenergy.2019.04.102.

Bin Sultan, Z., Sheng, J.J., 2025. Strategic approach to EGS working fluid selection: Performance assessment of water and CO2. Energy 319, 134945. https://doi.org/10.1016/j.energy.2025.134945.

Birhanu, Z.K., Kitterød, N.O., Krogstad, H.E., Kværnø, A., 2023. Analytical and numerical solutions of radially symmetric aquifer thermal energy storage problems. Hydrology Research 54 (11), 1432. https://doi.org/10.2166/nh.2023.214.

Chen, K., Sun, X., Soga, K., Nico, P.S., Dobson, P.F., 2024. Machine-learning-assisted long-term G functions for bidirectional aquifer thermal energy storage system operation. Energy 301, 131638. https://doi.org/10.1016/j.energy.2024.131638.

Chu, S., Majumdar, A., 2012. Opportunities and challenges for a sustainable energy future. Nature 488, 294-303. https://doi.org/10.1038/nature11475.

Falcone, G., Teodoriu, C., 2008. Oil and gas expertise for geothermal exploitation: The need for technology transfer, paper SPE-113852 presented at Europec/EAGE Conference and Exhibition 2008, June 9-12, Rome, Italy.

Ganguly, S., Kumar, M.M., Abhijit, D., Aliakbar, A., 2015. Numerical Modeling and Analytical Validation for Transient Temperature Distribution in a Heterogeneous Geothermal Reservoir due to Cold-Water Reinjection, Proceedings World Geothermal Congress 2015, 19-25 April, Melbourne, Australia.

June, R., 2013. EGS — Goodbye or Back to the Future 95, From the Proceeding: Effective and Sustainable Hydraulic Fracturing, Edited by Andrew P. Bunger, John McLennan and Rob Jeffrey, https://doi.org/10.5772/56458.

Kelkar, S., WoldeGabriel, G., Rehfeldt, K., 2016. Lessons learned from the pioneering hot dry rock project at Fenton Hill, USA. Geothermics 63, 5-14.

Lauwerier, H.A., 1955. The transport of heat in an oil layer caused by the injection of hot fluid. Applied Scientific Research, Section A 5 (2-3), 145-150. https://doi.org/10.1007/BF03184614.

Martin, J.C., 1975. Analysis of internal steam drive in geothermal reservoirs. Journal of Petroleum Technology 27, 1493-1499. https://doi.org/10.2118/5382-PA.

Ng, E.W., Geller, M., 1969. A table of integrals of the error functions. Journal of Research of the National Bureau of Standards – B. Mathematical Sciences, 73B (1), 1-20. https://doi.org/10.6028/JRES.073B.001.

O’Sullivan, M.J, Pruess, K., Lippmann, M.J., 2001. State of the art of geothermal reservoir simulation. Geothermics 30, 395-429. https://doi.org/10.1016/S0375-6505(01)00005-0.

Pritchett, J.W., 1995. STAR: A geothermal reservoir simulation system, in: Proc. World Geothermal Congress, Florence, 2959–2963.

Pruess, K., Narasimhan, T.N., 1985. A practical method for modeling fluid and heat flow in fractured porous media. Society of Petroleum Engineers Journal 25, 14-26. https://doi.org/10.2118/10509-PA.

Sheng, J.J., 2024. Techno-Economic Analysis of Hydrogen Generation in Hydrocarbon Reservoirs. SPE Journal 29 (10), 5752-5760. https://doi.org/10.2118/223084-PA.

Tadema, H. J., Weijdema, J., 1970. Spontaneous ignition of oil sands. Oil & Gas Journal 68 (50), 77-80.

Zhang, Y., Wu, S., Lu, H., Zha, F., 2025. Analytical solution for temperature-depth in geothermal reservoirs with mixed heat conduction types: A case study from the Huainan Coalfield, Anhui Province, China. Journal of Applied Geophysics 238, 105727. https://doi.org/10.1016/j.jappgeo.2025.105727.

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Published

2026-04-30

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