A machine learning approach to predict drilling rate using petrophysical and mud logging data
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Title
A machine learning approach to predict drilling rate using petrophysical and mud logging data
Authors
Keywords
Rate of penetration, Data mining, Machine-learning predictions, ROP variables, Feature selection ranking, Data filtering
Journal
Earth Science Informatics
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-03-25
DOI
10.1007/s12145-019-00381-4
References
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