Discovering hidden geothermal signatures using non-negative matrix factorization with customized k-means clustering
Discovery of hidden geothermal resources is challenging. It requires the mining of large
datasets with diverse data attributes representing subsurface hydrogeological and …
datasets with diverse data attributes representing subsurface hydrogeological and …
GeoVision analysis supporting task force report: Exploration
The GeoVision study effort included ground-breaking, detailed research on current and
future market conditions and geothermal technologies in order to forecast and quantify the …
future market conditions and geothermal technologies in order to forecast and quantify the …
[PDF][PDF] Three-dimensional geologic map the southeastern Gabbs Valley geothermal area, Nevada
Abstract This three-dimensional (3D) geologic map displays the subsurface geology in the
upper~ 4 kilometers of the Earth's crust in the southeastern Gabbs Valley geothermal area of …
upper~ 4 kilometers of the Earth's crust in the southeastern Gabbs Valley geothermal area of …
Discovering Hidden Geothermal Signatures using Unsupervised Machine Learning
Discovering hidden geothermal resources is a very challenging task. It requires the mining
of large datasets, including various diverse data attributes representing subsurface …
of large datasets, including various diverse data attributes representing subsurface …
GeoVision Analysis: Exploration Task Force Report
The GeoVision study effort included ground-breaking, detailed research on current and
future market conditions and geothermal technologies in order to forecast and quantify the …
future market conditions and geothermal technologies in order to forecast and quantify the …