petrobras/3W
A machine learning toolkit and dataset for detecting anomalies and undesirable events in offshore oil well operations using multivariate time-series sensor data.
The 3W Project by Petrobras provides a labeled dataset of offshore oil well sensor readings annotated for various fault types, along with a software toolkit for ML-based experimentation. It enables researchers to develop and benchmark anomaly detection and classification algorithms on real industrial data. The project focuses on enabling timely detection of problems to support proactive maintenance in oil extraction operations.