3W Dataset 2.0.0: a realistic and public dataset with rare undesirable real events in oil wells

TL;DR

The paper presents the updated 3W Dataset 2.0.0, a comprehensive public multivariate time series dataset with rare undesirable oil well events, supporting AI-based early detection research.

Contribution

It introduces the latest version of the 3W Dataset with structural modifications and additional labeled data, fostering advancements in oil well event detection.

Findings

Dataset now includes more labeled data and structural improvements.

Supports development of robust AI methodologies for early event detection.

Encourages community collaboration and methodological improvements.

Abstract

In the oil industry, undesirable events in oil wells can cause economic losses, environmental accidents, and human casualties. Solutions based on Artificial Intelligence and Machine Learning for Early Detection of such events have proven valuable for diverse applications across industries. In 2019, recognizing the importance and the lack of public datasets related to undesirable events in oil wells, Petrobras developed and publicly released the first version of the 3W Dataset, which is essentially a set of Multivariate Time Series labeled by experts. Since then, the 3W Dataset has been developed collaboratively and has become a foundational reference for numerous works in the field. This data article describes the current publicly available version of the 3W Dataset, which contains structural modifications and additional labeled data. The detailed description provided encourages and supports the 3W community and new 3W users to improve previous published results and to develop new robust methodologies, digital products and services capable of detecting undesirable events in oil wells with enough anticipation to enable corrective or mitigating actions.