GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources
L o a d i n g
Organization
National Renewable Energy Laboratory (NREL) - view all
Update frequencyunknown
Last updatedyesterday
OverviewAIartificial intelligencedevelopmentdiscoveryenergyexplorationgeothermalhidden geothermal resourcesmachine learningmodelmodelingneural networkpredictionprocessed dataremote sensingresourceresource detectiontraining datatraining dataset
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Discovery, Exploration, and Development of Hidden Geothermal Resources.
Additional Information
KeyValue
Dcat Issued2022-04-04T06:00:00Z
Dcat Modified2026-08-19T07:28:57Z
Dcat Publisher NameStanford University
Guidhttps://data.openei.org/submissions/7488
Harvest Object Id73555551-649f-433b-97d6-73cb35069a39
Harvest Source Id4eb7107f-a2b1-40e3-b36a-8161aa98a56e
Harvest Source TitleOpenEI Data Portal