Application of machine learning and deep learning in geothermal resource development: Trends and perspectives

Abstract This study delves into the latest advancements in machine learning and deep learning applications in geothermal resource development, extending the analysis up to 2024. It focuses on artificial intelligence's transformative role in the geothermal industry, analyzing recent literature f...

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Bibliographic Details
Main Authors: Abdulrahman Al‐Fakih, Abdulazeez Abdulraheem, Sanlinn Kaka
Format: Article
Language:English
Published: Wiley 2024-09-01
Series:Deep Underground Science and Engineering
Subjects:
Online Access:https://doi.org/10.1002/dug2.12098
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