Predicting the geothermal gradient in Colombia: A machine learning approach-Reference-Cited by-同舟云学术

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Predicting the geothermal gradient in Colombia: A machine learning approach

Published:2024-09 Issue: Volume:122 Page:103074
ISSN:0375-6505
Container-title:Geothermics
language:en
Short-container-title:Geothermics

Author:

Mejía-Fragoso Juan C.^ORCID,Flórez Manuel A.^ORCID,Bernal-Olaya Rocío

Funder

Universidad Industrial de Santander

Publisher

Elsevier BV

Reference40 articles.

1. Approach to the geothermal potential of Colombia;Alfaro;Geothermics,2021

2. Mapa preliminar de gradientes geotérmicos de Colombia;Alfaro,2009

3. Machine learning techniques in predicting bottom hole temperature and remote sensing for assessment of geothermal potential in the Kingdom of Saudi Arabia;Alqahtani;Sustainability,2023

4. Llanos orientales;ANH (Agencia Nacional de Hidrocarburos),2010

5. Valle medio del magdalena;ANH (Agencia Nacional de Hidrocarburos),2010

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