GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Ahmmed, Bulbul

doi:10.15121/1869828

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DOE OSTI · 1869828

GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Ahmmed, Bulbul

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Abstract

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.

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15 GEOTHERMAL ENERGY AI artificial intelligence development discovery energy exploration geothermal hidden geothermal resources machine learning model modeling neural network processed data remote sensing resource resource detection training data training dataset

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Ahmmed, Bulbul. 2022-04-04. GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources. https://doi.org/10.15121/1869828

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