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Found 26 dataset(s) matching "Geothermal AI".
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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...
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Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission...
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This is a presentation on Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting and Data-Driven Ground Motion Prediction (RT...
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The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data...
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These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data categories of raw data,...
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These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are...
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This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Dr. Jesse Williams. This video slide...
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This is a presentation on the Cutting Edge Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation by the University of Utah, presented...
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This is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of designing a recurrent...
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These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with the Geothermal Exploration Artificial Intelligence. Input and output...
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This submission is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of extracting...
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Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted...
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Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine Learning Approaches to...
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Falls River near Squirrel, Idaho (YFAL) Sample Collection: Samples were collected near the USGS stream gage 13046995 (Latitude 44°03'43", Longitude 111°09'07" NAD83). At the time of...
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Madison River near West Yellowstone, MT (YMAD), Yellowstone National Park Sample Collection: Samples were collected near the USGS stream gage 06037500 (Latitude 44°39'25.46", Longitude...
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Yellowstone River at Corwin Springs, MT (YYCR) Sample Collection: Samples were collected near the USGS stream gage 06191500 (Latitude 45°06'43.63", Longitude 110°47'37.20" NAD83). At the time...
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Gardner River near Mammoth (YGAR), Yellowstone National Park Sample Collection: Samples were collected four kilometers downstream from the USGS stream gage 06191000 (Latitude 45°01'2.4",...
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Yellowstone River at Yellowstone Lake Outlet (YYFB), Yellowstone National Park Sample Collection: Samples were collected near the USGS stream gage 06186500 (Latitude 44°34'01.53", Longitude...
