petrobras / 3W
Timely detections for more proactive and effective actions in offshore oil wells!
Why this job: works in the areas we cover, but does not say which job it does
What it does
This is the first repository published by Petrobras on GitHub. It supports the 3W Project, which aims to promote experimentation and development of Machine Learning-based approaches and algorithms for specific problems related to detection and classification of undesirable events that occur in offshore oil wells.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 days ago
- Stars
- 541
- +5 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- v.1.98.0
- Released 2 days ago
- Built with
- Jupyter Notebook
- 98% of the code
Is it looked after?
- Contributors
- 10
- Last 90 days
- Issues
- 93% closed
- 2 still open
- Pull requests
- 174 merged
- 5 waiting
- Releases
- 125
- 30+ in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| unit8co / darts | 9,585 | 6 days ago | Apache-2.0 | No downloads |
| sintel-dev / Orion | 1,374 | 8 months ago | MIT | No downloads |
| georgian-io / pyoats | 113 | 21 days ago | Apache-2.0 | No downloads |
More: languages, topics, project record and preview image
Languages
- Jupyter Notebook 98%
- Python 1%
- TeX <1%
- CSS <1%
Topics
- anomaly-detection
- data-science
- machine-learning
- multivariate-time-series-analysis
- oil-well-monitoring
Project record
- JobOther AI tools
- StatusListed
- Commits1,439
- Forks140
- Watching20
- Stars in 28 days+9
- CreatedApr 6, 2022
- First seen by usNov 7, 2026
- CheckedNov 12, 2026