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Generic Aquifer Component Training Dataset
10.18141/2001068

Training dataset for the Generic Aquifer Component of NRAP-Open-IAM. Consists of the results of 62,500 STOMP-CO2 simulations of brine and CO2 leakage of varying rates and...
- hdf5
- py
- Dataset Size: 15.807 GB
- 11 Resources
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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...
- ipynb
- h5
- TXT
- XML
- ZIP
- PNG
- CSV
- py
- JSON
- tif
- PDF
- Dataset Size: 427.921 MB
- 14 Resources
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