Discovering the Hidden Geothermal Signatures of Southwest New Mexico
V.V. Vesselinov, B. Ahmmed, M. Mudunuru, S. Karra, R. Middleton
World Geothermal Congress, Reykjavik, Iceland2021
Summary
This work applies unsupervised machine learning to diverse regional datasets to identify hidden geothermal signatures in southwest New Mexico. By mining geological, geochemical, and geophysical information without relying solely on predefined labels, the study aims to reveal patterns associated with concealed geothermal systems and improve regional exploration targeting.