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- Promotes development of ML algorithms for early detection and classification of undesirable events in offshore oil wells.
- Open source digital rocks software platform for micro-CT, CT, thin sections and borehole image analysis. Includes tools for: annotation, AI, HPC, porous media flow simulation, porosity analysis, permeability analysis and much more.
- Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.
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PublicWPRAutoencoders
PublicThis is one of Petrobras' open repositories on GitHub. It contains the WPRAutoencoders project which encompasses a wellbore pressure response generator, a dataset of 20.000 synthetic pressure responses and an autoencoder neural network capable of clustering this data based on transmissibility and reservoir geometry.