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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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- ipynb
- h5
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- py
- JSON
- tif
- Dataset Size: 427.921 MB
- 14 Resources
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AI/ML Geospatial NETL

Pennsylvania Department of Environmental Protection (PA DEP) 26r Detailed Produced Water Compositions (version 1.0)
10.18141/2483335

A database of geochemical compositions of aqueous species in produced water reported to the PA DEP. Samples were collected between mid-2012 to early-2020. Data from...
- PDF
- CSV
- gss
- XLSX
- oad
- Dataset Size: 15.142 MB
- 19 Resources
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AI/ML Geospatial NETL

NEWTS Argonne Geothermal Geochemical Database with CoDART
10.18141/2448231

A database of geochemical compositions of aqueous species in potential geothermal resources. The NETL NEWTS team has formatted the original Argonne V2 database for Charge...
- gss
- oad
- XLSX
- CSV
- Dataset Size: 72.389 MB
- 9 Resources
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