GeoThermalCloud: Machine learning for geothermal resource exploration
M. Mudunuru, V.V. Vesselinov, B. Ahmmed
Journal of Machine Learning for Modeling and Computing2022DOI 10.1615/JMachLearnModelComput.2022046445
Summary
This work presents GeoThermalCloud as a machine-learning framework for geothermal resource exploration, with an emphasis on discovering blind hydrothermal systems that lack clear surface expression. The study highlights how data-driven methods can reduce the time, cost, and uncertainty associated with conventional exploration by integrating and analyzing diverse geothermal datasets.