Applications of artificial intelligence in geothermal resource exploration: A review

作     者：Mahmoud AlGaiar Mamdud Hossain Andrei Petrovski Aref Lashin Nadimul Faisal Mahmoud AlGaiar;Mamdud Hossain;Andrei Petrovski;Aref Lashin;Nadimul Faisal

作者机构：School of EngineeringRobert Gordon UniversityAberdeenUK National Subsea CentreAberdeenUK Petroleum and Natural Gas Engineering DepartmentCollege of EngineeringKing Saud UniversityRiyadhSaudi Arabia 

出 版 物：《Deep Underground Science and Engineering》 (深地科学（英文）)

年 卷 期：2024年第3卷第3期

页      面：269-285页

核心收录：

学科分类：070801[理学-固体地球物理学] 07[理学] 0708[理学-地球物理学] 

基　　金：U.S. Department of Energy  USDOE 

主　　题：artificial intelligence geothermal energy geothermal exploration geothermometry hidden/blind geothermal resources machine learning 

摘      要：Artificial intelligence (AI) has become increasingly important in geothermal exploration,significantly improving the efficiency of resource *** review examines current AI applications,focusing on the algorithms used,the challenges addressed,and the opportunities *** addition,the review highlights the growth of machine learning applications in geothermal exploration over the past decade,demonstrating how AI has improved the analysis of subsurface data to identify potential *** techniques such as neural networks,support vector machines,and decision trees are used to estimate subsurface temperatures,predict rock and fluid properties,and identify optimal drilling *** particular,neural networks are the most widely used technique,further contributing to improved exploration ***,the widespread adoption of AI in geothermal exploration is hindered by challenges,such as data accessibility,data quality,and the need for tailored data science training for industry ***,the review emphasizes the importance of data engineering methodologies,data scaling,and standardization to enable the development of accurate and generalizable AI models for geothermal *** is concluded that the integration of AI into geothermal exploration holds great promise for accelerating the development of geothermal energy *** effectively addressing key challenges and leveraging AI technologies,the geothermal industry can unlock cost‐effective and sustainable power generation opportunities.