Programs and Code for Subsurface Geothermal Exploration Artificial Intelligence
The scripts below are used to run the Subsurface Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including
- Labeling
- Data import and export
- Preprocessing
- Artificial Intelligence Model: creates 3D Geothermal AI from input voxels, training, testing, validation
Citation Formats
Colorado School of Mines. (2023). Programs and Code for Subsurface Geothermal Exploration Artificial Intelligence [data set]. Retrieved from https://gdr.openei.org/submissions/1695.
Demir, Ebubekir, Duzgun, Sebnem. Programs and Code for Subsurface Geothermal Exploration Artificial Intelligence. United States: N.p., 01 Sep, 2023. Web. https://gdr.openei.org/submissions/1695.
Demir, Ebubekir, Duzgun, Sebnem. Programs and Code for Subsurface Geothermal Exploration Artificial Intelligence. United States. https://gdr.openei.org/submissions/1695
Demir, Ebubekir, Duzgun, Sebnem. 2023. "Programs and Code for Subsurface Geothermal Exploration Artificial Intelligence". United States. https://gdr.openei.org/submissions/1695.
@div{oedi_1695, title = {Programs and Code for Subsurface Geothermal Exploration Artificial Intelligence}, author = {Demir, Ebubekir, Duzgun, Sebnem.}, abstractNote = {The scripts below are used to run the Subsurface Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including
- Labeling
- Data import and export
- Preprocessing
- Artificial Intelligence Model: creates 3D Geothermal AI from input voxels, training, testing, validation}, doi = {}, url = {https://gdr.openei.org/submissions/1695}, journal = {}, number = , volume = , place = {United States}, year = {2023}, month = {09}}
Details
Data from Sep 1, 2023
Last updated Nov 11, 2024
Submitted Nov 11, 2024
Organization
Colorado School of Mines
Contact
Ebubekir Demir
303.273.3597
Authors
Keywords
geothermal, energyDOE Project Details
Project Name Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning
Project Lead Mike Weathers
Project Number EE0008760
