Using machine learning methods for prediction of drilling rate: case of water drilling operations in gneiss rock

<p>An accurate model for ROP prediction in gneissic rock formations was proposed in this study to help reduce drill costs, total drilling time, and allowing companies to be more competitive. The developed ROP prediction model has considered for (04) parameters: percussion pressure, blowing pre...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Gatchouessi Kamdem Eugène (20527175) (author)
مؤلفون آخرون: Kamgue Tiam Franck Ferry (20527178) (author), Mambou Ngueyep Luc Leroy (20527181) (author), Wounabaissa Olivier (20527184) (author), Lembo Nnomo Hugues Richard (20527187) (author), Kanmogne Abraham (20527190) (author)
منشور في: 2025
الموضوعات:
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