Using Machine Learning to Predict Rate of Penetration that a Well can be Drilled скачать в хорошем качестве

Using Machine Learning to Predict Rate of Penetration that a Well can be Drilled

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