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Optimum control parameters and long-term productivity of geothermal reservoirs using coupled thermo-hydraulic process modelling

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  • Aliyu, Musa D.
  • Chen, Hua-Peng

Abstract

Knowing the long-term performance of geothermal energy extraction is crucial to decision-makers and reservoir engineers for optimal management and sustainable utilisation. This article presents a three-dimensional, numerical model of coupled thermo-hydraulic processes, in a deep heterogeneous geothermal reservoir overlain and underlain by impermeable layers, with discrete fracture. The finite element method is employed in modelling the reservoir, after conducting a verification study to test the capability of the solver and the results obtained are in agreement with the existing models. The model is then used to investigate the responses of human control parameters (injection flow rate, fluid injection temperature, and lateral well spacing) on reservoir productivity, using different operation scenarios. The injection flow rate is found to be more efficient, concerning reservoir productivity, than the other two parameters. To this end, the study concludes that, by varying some parameters in the subsurface, reservoir productivity can be optimised efficiently. The numerical model developed provides in-depth insight to stakeholders and reservoir engineers concerning the essential parameters to control during exploration and exploitation.

Suggested Citation

  • Aliyu, Musa D. & Chen, Hua-Peng, 2017. "Optimum control parameters and long-term productivity of geothermal reservoirs using coupled thermo-hydraulic process modelling," Renewable Energy, Elsevier, vol. 112(C), pages 151-165.
    • Handle: RePEc:eee:renene:v:112:y:2017:i:c:p:151-165
    DOI: 10.1016/j.renene.2017.05.032
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    References listed on IDEAS

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    1. Xia, Yidong & Plummer, Mitchell & Mattson, Earl & Podgorney, Robert & Ghassemi, Ahmad, 2017. "Design, modeling, and evaluation of a doublet heat extraction model in enhanced geothermal systems," Renewable Energy, Elsevier, vol. 105(C), pages 232-247.
    2. Aliyu, Musa D. & Chen, Hua-Peng, 2017. "Sensitivity analysis of deep geothermal reservoir: Effect of reservoir parameters on production temperature," Energy, Elsevier, vol. 129(C), pages 101-113.
    3. Chen, Jiliang & Jiang, Fangming, 2015. "Designing multi-well layout for enhanced geothermal system to better exploit hot dry rock geothermal energy," Renewable Energy, Elsevier, vol. 74(C), pages 37-48.
    4. Saeid, Sanaz & Al-Khoury, Rafid & Nick, Hamidreza M. & Hicks, Michael A., 2015. "A prototype design model for deep low-enthalpy hydrothermal systems," Renewable Energy, Elsevier, vol. 77(C), pages 408-422.
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