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AI/ML

Datasets and U-Net Model for "A Deep Learning Based Framework to Identify Undocumented Orphaned Oil and Gas Wells from Historical Maps: a Case Study for California and Oklahoma"
10.18141/2452768

This dataset has results and the model associated with the publication Ciulla et al., (2024). It contains a U-Net semantic segmentation model (unet_model.h5) and associated code...
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- XML
- ipynb
- h5
- JSON
- TXT
- py
- PNG
- CSV
- tif
- PDF
- Dataset Size: 427.921 MB
- 14 Resources
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NETL

CT_Data_of_Gas_Migration_in_Setting_Cement
10.18141/1961403

Computed tomography experimental data associated with the submitted manuscript "Migration of air bubbles in a column of cement slurry" by N’dri Arthur Konan, Eilis Rosenbaum,...
- avi
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- mp4
- tif
- Dataset Size: 134.275 GB
- 41 Resources
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