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3D characterization of thermo-hydro-geological fields and estimation of power potential from Puga geothermal reservoir, Ladakh, India

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  • Jha, Shibani K.
  • Puppala, Harish
  • Mohan Kumar, M.S.

Abstract

Puga geothermal reservoir in India shows promising thermal manifestation zones. However, no systematic study is done to develop the 3D characterization of thermo-hydro-geological fields for this reservoir. A new methodology is developed to characterize porosity, thermal conductivity, density, specific heat, radioactive heat capacity and permeability as 3D block heterogeneity till a depth of 4 km from resistivity maps. The temperature field and stored heat energy in a geothermal reservoir are dependent on these parameters. Based on the developed characterization, 3D coupled flow and heat transport processes are simulated to estimate the extractable temperature and power to be generated from doublet extraction scheme with various operational conditions. The study finds energy recovery factor of 8.16% and 37.83% and minimum electrical power potential of 1.2 MWe and 50.4 MWe with 12% conversion efficiency from the depths of 250 m and 1875 m respectively over 50 years from Puga field. Sensitivity for fluid injection/extraction rate and well spacing is studied. The results show promising power potential from 1.4 to 2 km of depth. The block heterogeneity characterization is more reliable than layered and homogeneous characterization. The outcomes would certainly acquire a significant role in decision-making strategies for Puga geothermal exploitation.

Suggested Citation

  • Jha, Shibani K. & Puppala, Harish & Mohan Kumar, M.S., 2020. "3D characterization of thermo-hydro-geological fields and estimation of power potential from Puga geothermal reservoir, Ladakh, India," Renewable Energy, Elsevier, vol. 146(C), pages 1510-1523.
    • Handle: RePEc:eee:renene:v:146:y:2020:i:c:p:1510-1523
    DOI: 10.1016/j.renene.2019.07.006
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    References listed on IDEAS

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    1. Jha, Shibani K. & Puppala, Harish, 2017. "Prospects of renewable energy sources in India: Prioritization of alternative sources in terms of Energy Index," Energy, Elsevier, vol. 127(C), pages 116-127.
    2. Zhang, Keni & Lee, Bo-Heng & Ling, Lulu & Guo, Tai-Rong & Liu, Chih-Hsi & Ouyang, Shoung, 2016. "Modeling studies for production potential of Chingshui geothermal reservoir," Renewable Energy, Elsevier, vol. 94(C), pages 568-578.
    3. Franco, Alessandro & Vaccaro, Maurizio, 2014. "Numerical simulation of geothermal reservoirs for the sustainable design of energy plants: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 987-1002.
    4. 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.
    5. 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.
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    Cited by:

    1. Gudala, Manojkumar & Govindarajan, Suresh Kumar & Yan, Bicheng & Sun, Shuyu, 2022. "Numerical investigations of the PUGA geothermal reservoir with multistage hydraulic fractures and well patterns using fully coupled thermo-hydro-geomechanical modeling," Energy, Elsevier, vol. 253(C).
    2. Puppala, Harish & Arora, Manoj Kumar & Garlapati, Nagababu & Bheemaraju, Amarnath, 2023. "GIS-MCDM based framework to evaluate site suitability and CO2 mitigation potential of earth-air-heat exchanger: A case study," Renewable Energy, Elsevier, vol. 216(C).

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