petrobras/WPRAutoencoders
This 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.
This tool helps reservoir engineers automatically interpret well test data. By inputting raw pressure response data, it identifies key formation properties like transmissibility and reservoir geometry. It's designed for professionals analyzing well performance and making decisions about reservoir evaluation.
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Use this if you need an automated assistant to interpret wellbore pressure responses and quickly suggest reservoir characteristics from well test data.
Not ideal if you are looking for a tool to manually analyze well test data or if you need to simulate complex, non-standard reservoir behaviors beyond the included configurations.
Stars
45
Forks
8
Language
Jupyter Notebook
License
Apache-2.0
Last pushed
Dec 21, 2022
Commits (30d)
0
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