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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| 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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