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Artificial Intelligence-Centric Low-Enthalpy Geothermal Field Development Planning

Artificial Intelligence-Centric Low-Enthalpy Geothermal Field Development Planning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_55b91220f71b41c99a121fdc3a9b13ff

Artificial Intelligence-Centric Low-Enthalpy Geothermal Field Development Planning

About this item

Full title

Artificial Intelligence-Centric Low-Enthalpy Geothermal Field Development Planning

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2024-04, Vol.17 (8), p.1887

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Low-enthalpy geothermal energy can make a major contribution towards reducing CO2 emissions. However, the development of geothermal reservoirs is costly and time intensive. In particular, high capital expenditures, data acquisition costs, and long periods of time from identifying a geothermal resource to geothermal heat extraction make geothermal f...

Alternative Titles

Full title

Artificial Intelligence-Centric Low-Enthalpy Geothermal Field Development Planning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_55b91220f71b41c99a121fdc3a9b13ff

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_55b91220f71b41c99a121fdc3a9b13ff

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en17081887

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