Machine Learning Methods Based on Geophysical Monitoring Data in Low Time Delay Mode for Drilling Optimization

Machine Learning Methods Based on Geophysical Monitoring Data in Low Time Delay Mode for Drilling Optimization

The purpose of the article is to create an effective method to monitor the state of the drill string and the bit without interfering with the drilling process itself in low-time delay mode. For continuous monitoring of the well drilling process, an experimental setup was developed that operates on t...

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Bibliographic Details
Main Authors: Alexey Osipov, Ekaterina Pleshakova, Artem Bykov, Oleg Kuzichkin, Dmitry Surzhik, Stanislav Suvorov, Sergey Gataullin
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Robotics
artificial intelligence
neural networks
engineering
CapsNet
geophysical monitoring
Online Access:https://ieeexplore.ieee.org/document/10146278/

Internet

https://ieeexplore.ieee.org/document/10146278/

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