Machine learning to identify geologic factors associated with production in geothermal fields: a case-study using 3D geologic data, Brady geothermal field, Nevada
Crossref DOI link:
Update policy: https://doi.org/10.1007/SPRINGER_CROSSMARK_POLICY
Siler, Drew L.
Pepin, Jeff D.
Vesselinov, Velimir V.
Mudunuru, Maruti K.
Funding for this research was provided by:
Geothermal Technologies Office (DE-EE-18.104.22.168)
Text and Data Mining valid from 2021-06-30
Version of Record valid from 2021-06-30
1 February 2021
4 June 2021
30 June 2021
The authors have no competing interests.