EconPapers    
Economics at your fingertips  
 

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

Khizar Abid, Kayode Sanni and Catalin Teodoriu

Renewable Energy, 2025, vol. 245, issue C

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.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148125004240
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:245:y:2025:i:c:s0960148125004240

DOI: 10.1016/j.renene.2025.122762

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-04-30
Handle: RePEc:eee:renene:v:245:y:2025:i:c:s0960148125004240