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Journal: Energies, 2022
Volume: 15
Number: 4288

Article: Applying Machine Learning to Predict the Rate of Penetration for Geothermal Drilling Located in the Utah FORGE Site
Authors: by Mohamed Arbi Ben Aoun and Tamás Madarász
Link: https://www.mdpi.com/1996-1073/15/12/4288

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