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 (about a year ago)

Commits 17 (last one about a year ago)

Stargazers 38 (0 this week)

Watchers 3 (0 this week)

Forks 7

License apache-2.0

Ranking

RepositoryStats indexes 534,880 repositories, of these petrobras/WPRAutoencoders is ranked #485,441 (9th percentile) for total stargazers, and #399,187 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #12,968/14,941.

petrobras/WPRAutoencoders is also tagged with popular topics, for these it's ranked: deep-learning (#7,314/7826), machine-learning (#6,914/7374), data-science (#1,853/1973)

All Topics

clustering autoencoders data-science well-testing deep-learning machine-learning

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (master) per year

Issue History

No issues have been posted

Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-06-01 @ 05:44pm, id: 529374019 / R_kgDOH42bQw