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Updated: Apr 26, 2026

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
Published on: January 16, 2018
3W Dataset 2.0.0: a realistic and public dataset with rare undesirable real events in oil wells
Ricardo Emanuel Vaz Vargas1, Afrânio José de Melo Junior2, Claudio Benevenuto de Campos Lima2
1Petróleo Brasileiro S.A. (Petrobras), Rio de Janeiro, Brazil. ricardo.vargas@petrobras.com.br.
Abstract:
In the oil industry, undesirable events in oil wells can cause economic losses, environmental accidents, and human casualties. 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 additional instances, more variables, and a new label. Furthermore, a new data structure has been developed to make data access more robust and efficient. The detailed description we provide 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.
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