petrobras/3W
Timely detections for more proactive and effective actions in offshore oil wells!
This project helps offshore oil well operators and engineers proactively identify issues like production losses or equipment failures. It takes raw data from oil wells and uses machine learning to detect and classify undesirable events, enabling timely interventions. The primary users are professionals responsible for monitoring well integrity, flow assurance, and artificial lifting methods.
469 stars.
Use this if you need to improve the efficiency and timeliness of detecting critical, rare undesirable events in offshore oil wells to prevent costly incidents.
Not ideal if you are working with data from other types of industrial equipment or need to analyze general operational metrics unrelated to specific well events.
Stars
469
Forks
106
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
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