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

Abdulrahman Al-Fakih , Abdulazeez Abdulraheem , Sanlinn Kaka

Deep Underground Science and Engineering ›› 2024, Vol. 3 ›› Issue (3) : 286 -301.

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Deep Underground Science and Engineering ›› 2024, Vol. 3 ›› Issue (3) : 286 -301. DOI: 10.1002/dug2.12098
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Application of machine learning and deep learning in geothermal resource development: Trends and perspectives

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Abstract

•Recent machine learning/deep learning advancements in geothermal development up to 2024.

•Case studies are presented on AI’s practical impact in seismic detection and reservoir engineering.

•AI application trends in geothermal energy from 2000 to 2024 are analyzed.

•Future AI integration into geothermal drilling and production is explored.

Keywords

artificial intelligence / deep learning / geothermal energy development / machine learning

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Abdulrahman Al-Fakih, Abdulazeez Abdulraheem, Sanlinn Kaka. Application of machine learning and deep learning in geothermal resource development: Trends and perspectives. Deep Underground Science and Engineering, 2024, 3(3): 286-301 DOI:10.1002/dug2.12098

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2024 The Authors. 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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