Applying machine learning to predict the rate of penetration for geothermal drilling located in the Utah FORGE site

Mohamed Arbi Ben Aoun, Tamás Madarász

Article (2022)

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Journal Title :
Energies ( vol. 15 , no. 12 )
Publisher:
MDPI
OAI:
oai:publications.polymtl.ca:51272
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Date Deposited:
18 Apr 2023 14:58
Last Modified:
14 Oct 2026 14:08
Cite in APA 7:
Ben Aoun, M. A., & Madarász, T. (2022). Applying machine learning to predict the rate of penetration for geothermal drilling located in the Utah FORGE site. Energies, 15(12), 21 pages. https://doi.org/10.3390/en15124288

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