ACCURATE PREDICTION OF DRILL BIT PENETRATION RATE IN ROCK USING SUPERVISED MACHINE LEARNING TECHNIQUES BASE ON LABORATORY TEST DATA

ACCURATE PREDICTION OF DRILL BIT PENETRATION RATE IN ROCK USING SUPERVISED MACHINE LEARNING TECHNIQUES BASE ON LABORATORY TEST DATA

Knowing the rate of penetration of a drill bit in rocks is among the most important parameters in their behaviour measurement. However, the direct measurement of ROP in rocks is a high-cost and time-intensive process. Therefore, obtaining the ROP parameter through a method other than direct measurem...

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Bibliographic Details
Main Authors: Shahrokh Khosravimanesh, Akbar Esmaeilzadeh, Masoud Akhyani, Reza Mikaeil, Mojtaba Mokhtarian Asl
Format: Article
Language:English
Published: Faculty of Mining, Geology and Petroleum Engineering 2024-01-01
Series:Rudarsko-geološko-naftni Zbornik
Subjects:
rate of penetration
cooling/lubricating fluid
simple linear regression
lasso regression
ridge regression
Online Access:https://hrcak.srce.hr/file/454954

Internet

https://hrcak.srce.hr/file/454954

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