Applications of artificial intelligence in geothermal resource exploration: A review
Mahmoud AlGaiar , Mamdud Hossain , Andrei Petrovski , Aref Lashin , Nadimul Faisal
Deep Underground Science and Engineering ›› 2024, Vol. 3 ›› Issue (3) : 269 -285.
Applications of artificial intelligence in geothermal resource exploration: A review
•Progress in the use of Artificial intelligence (AI) methodologies is presented in detail. | |
•Geophysical data analysis is the most notable AI application. | |
•Neural networks are the most-used AI technique across geothermal exploration groups. | |
•Challenges and recommendations for future research using AI are provided. | |
•Large-scale AI applications are reasonably novel in geothermal exploration. |
artificial intelligence / geothermal energy / geothermal exploration / geothermometry / hidden/blind geothermal resources / machine learning
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2024 The Author(s). Deep Underground Science and Engineering published by John Wiley & Sons Australia, Ltd on behalf of China University of Mining and Technology.
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