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Energies2022, 15(12), 4288;https://doi.org/10.3390/en15124288

Journal: EnergiesVolume: 15Number: 4288

Article: Applying Machine Learning to Predict the Rate of Penetration for Geothermal Drilling Located in the Utah FORGE Site

Authors:
Mohamed Arbi Ben Aoun^1,2,* and
Tamás Madarász²

Link: https://www.mdpi.com/1996-1073/15/12/4288

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