Submissions - EDX

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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
- py
- XML
- JSON
- tif
- PDF
- ZIP
- PNG
- CSV
- Dataset Size: 427.921 MB
- 14 Resources
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Geospatial NETL

Quillinan, et al 2018 DOE Geothermal Technology Office REE Report for NEWTS Database and Case Studies
10.18141/1924081

Produced water data processed into the NEWTS data format for easy input into aqueous chemistry modeling software, including oil & gas and coal bed methane produced waters,...
- XLSX
- CSV
- oad
- Dataset Size: 3.318 MB
- 8 Resources
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