Title | Machine Learning to Characterize State of Stress Influence on Geothermal Production |
Author | Vesselinov, Velimir; Frash, Luke; Ahmmed, Bulbul; Mudunuru, Maruti K. |
Affiliation | Los Alamos National Laboratory; Pacific Northwest National Laboratory |
PDF | yes - members only! |
Volume Title | Using the Earth to Save the Earth |
Journal | Geothermal Resources Council Transactions |
Volume | 45 |
Pages | 1324-1334 |
Year | 2021 |
Publisher | Geothermal Resources Council |
Publication Place | Davis, California |
Subjects | Machine learning; Geological surveys; Fractures |
Keywords | unsupervised machine learning, geothermal, geothermal power production, stress and permeability |
Document Type | Digital Collection |
Language | English |
GRC ID# | 1034455 |
Permalink | https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1034455 |