petrobras/3W

Promotes development of ML algorithms for early detection and classification of undesirable events in offshore oil wells.

Jupyter NotebookPythondata-sciencemachine-learninganomaly-detectionmultivariate-time-series-analysisoil-well-monitoring
This is stars and forks stats for /petrobras/3W repository. As of 05 May, 2024 this repository has 212 stars and 45 forks.

Table of Content Introduction Motivation Strategy Ambition Contributions Licenses Versioning Questions 3W dataset Structure Overview 3W toolkit Structure Incorporated Problems Examples of Use Reproducibility Introduction 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...
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