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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: https://doi.org/10.1186/s40517-021-00199-8

Published Online: 2021-06-30

Published Print: 2021-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Siler, Drew L. https://orcid.org/0000-0001-7540-8244
Pepin, Jeff D.

Vesselinov, Velimir V.

Mudunuru, Maruti K.

Ahmmed, Bulbul
Funding

Funding for this research was provided by:

Geothermal Technologies Office (DE-EE-3.1.8.1)
License Information

Text and Data Mining valid from 2021-06-30

Version of Record valid from 2021-06-30
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Article History

Received: 1 February 2021

Accepted: 4 June 2021

First Online: 30 June 2021

Declarations

:

: The authors have no competing interests.

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