Using Machine Learning to Predict Rate of Penetration that a Well can be Drilled
Автор: SpeedWise ML
Загружено: 2021-10-12
Просмотров: 608
Описание:
In this use case, we’ll demonstrate how to use SpeedWise® ML to predict the rate of penetration that a well can be drilled; that is, the speed at which a drill bit breaks the rock under it to deepen the borehole. You will see how this is done using historic data from a few drilling operating parameters to train an ML model.
SpeedWise® ML (SML) is a web-based software platform allowing anyone in any size oil and gas company to conduct cutting-edge machine learning practices and predictive analysis.
After watching, jump into a free trial and try it for yourself: https://www.speedwiseml.com/
Learn more about using SML for solving universal Oil & Gas problems: https://www.qrigroup.com/SpeedWiseML
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