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Long-term experimental study of thermal conductivity and machine learning analysis of various cement mixtures for geothermal wells

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  • Abid, Khizar
  • Sanni, Kayode
  • Teodoriu, Catalin

Abstract

As the world is moving toward the net zero goal, renewable energy plays an important role in achieving that target. In that respect, geothermal energy plays a significant role, and the efficiency of any geothermal project depends on the amount of heat gathered at the wellhead. Cement is the key component in this process, as it is the medium through which the heat is transferred from the formation to the working fluid. Therefore, the thermal conductivity (TC) of the cement is an important parameter to be determined, as it not only controls the transfer of heat, but this value is extensively used in different simulation models to assess the integrity of the cement in the geothermal well.

Suggested Citation

  • Abid, Khizar & Sanni, Kayode & Teodoriu, Catalin, 2025. "Long-term experimental study of thermal conductivity and machine learning analysis of various cement mixtures for geothermal wells," Renewable Energy, Elsevier, vol. 245(C).
    • Handle: RePEc:eee:renene:v:245:y:2025:i:c:s0960148125004240
    DOI: 10.1016/j.renene.2025.122762
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