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Taha yehia

Texas A&M University

Langford Building A

798 Ross St.

College Station, TX 77843-3137

United States

  • Texas A&M University

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Scholarly Papers (1)

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A Comparative Analysis of Machine Learning Techniques for Geothermal Wells’ Drilling Rate of Penetration (Rop) Prediction

Number of pages: 25 Posted: 24 Jan 2024
Taha yehia, Moamen Gasser, Hossam Ebaid, Esuru Okoroafor and Nathan Meehan
Texas A&M University, affiliation not provided to SSRN, affiliation not provided to SSRN, Texas A&M University and affiliation not provided to SSRN
Downloads 141 (530,816)
Citation 1

Abstract:

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Geothermal Wells Drilling, Rate of Penetration (ROP), Machine Learning, Extreme Tree, Artificial Neural Network, Predictive Modeling