Machine learning for geothermal resource analysis and exploration
V.V. Vesselinov, et al.
XXIII International Conference on Computational Methods in Water Resources (CMWR), Stanford, CA2020
Summary
This presentation explores the application of machine learning techniques for geothermal resource analysis and exploration. It covers methods for integrating geological, geochemical, and geophysical data to identify hidden geothermal signatures and assess resource potential.