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.

Date Created 2022-08-26 (2 years ago)
Commits 17 (last one about a year ago)
Stargazers 42 (0 this week)
Watchers 4 (0 this week)
Forks 7
License apache-2.0
Ranking

RepositoryStats indexes 589,134 repositories, of these petrobras/WPRAutoencoders is ranked #505,714 (14th percentile) for total stargazers, and #374,926 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,739/17,281.

petrobras/WPRAutoencoders is also tagged with popular topics, for these it's ranked: deep-learning (#7,545/8438),  machine-learning (#7,156/7978),  data-science (#1,917/2110)

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17 commits on the default branch (master) since jan '22

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updated: 2024-11-05 @ 11:24am, id: 529374019 / R_kgDOH42bQw