Appendices for Geothermal Exploration Artificial Intelligence Report
Abstract
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especially regarding finding locations for viable EGS sites. This submission includes the appendices and reports formerly attached to the Geothermal Exploration Artificial Intelligence Quarterly and Final Reports.
The appendices below include methodologies, results, and some data regarding what was used to train the Geothermal Exploration AI. The methodology reports explain how specific anomaly detection modes were selected for use with the Geo Exploration AI. This also includes how the detection mode is useful for finding geothermal sites. Some methodology reports also include small amounts of code. Results from these reports explain the accuracy of methods used for the selected sites (Brady Desert Peak and Salton Sea). Data from these detection modes can be found in some of the reports, such as the Mineral Markers Maps, but most of the raw data is included the DOE Database which includes Brady, Desert Peak, and Salton Sea Geothermal Sites.
12 Resources
DOE Geodatabases.zip
17*
Geodatabases for Brady, Desert Peak, and Salton Sea Geothermal Sites. Needs o be used with ArcGIS or other geodatabase compatible GIS software.
The Deformation Analysis Report outlines methods and technology used for identifying land deformations caused by geothermal activity. The report also includes descripti... more
Geodatabase Design outline for the Geothermal Exploration AI. Databases made using this design include Brady Hot Springs, Desert Peak and Salton Sea. The design outline... more
The Land Surface Temperature (LST) Report explains the reasoning behind using LST as an input to the Geothermal Exploration AI algorithm. Included in the document is da... more
The Mineral Mapping Literature Report outlines the methods for remote sensing of geothermal sites and the application of these remote sensing methods. Methods include i... more
Report with the Methodology used for using Mineral Markers layer in the Geothermal AI. Applies to Brady and Desert Peak Geothermal Areas. Includes information regarding... more
Morphology Literature Report for Brady Geothermal Field. This report includes information regarding the use of morphological features as geothermal site indicators for ... more
Support Vector Machine (SVM) applied to the geothermal exploration report. This report explains why SVM was used with the Geothermal Exploration Artificial Intelligenc... more
Report about the borders for well, fault, and seismic data. Fault density data was used to define analysis boundaries. The report includes fault data for the three site... more
DOE Project Name: Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning DOE Project Number: EE0008760 DOE Project Lead: Mike Weathers