Well Intel

This series of short white papers leverage our unique position as the industry’s most extensive subsurface data provider. We seek to answer the questions on energy explorers' minds, using novel insight gained through analysis of our vast library of onshore well production and performance data. New articles are released regularly, so subscribe to never miss an update.

Using Machine Learning to Better Define Landing Zones (Caution! Contains Geophysics)

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December 14, 2020
Author: Marianne Rauch, Ph.D
Filed Under: Well Intel
When it comes to shale drilling, staying in zone is paramount for any drilling engineer and geosteerer. The higher the percentage of a wellbore “in zone,”.