Geothermal energy for sustainable and green energy supply in the future
Chunfai Leung, Jianguo Wang, Heping Xie, Xiaozhao Li
发布时间：2024-09-25
关键词：Geothermal energy for sustainable and green supply in the future
摘要：Deep Underground Science and Engineering (DUSE) publishes this special issue on geothermal energy. The guest editors of this special issue are Prof. Ranjith Pathegama Gamage (Monash University, Australia), Prof. Zhongwei Huang (China University of Petroleum, Beijing, China), and Prof. Bing Bai (Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, China). Geothermal energy i...
阅读全文 PDF 引用Geothermo-mechanical alterations due to heat energy extraction in enhanced geothermal systems: Overview and prospective directions
Mary C. Ngoma, Oladoyin Kolawole, Olufemi Olorode
发布时间：2024-09-27
关键词：Geothermomechanical alterations due to heat energy extraction in enhanced geothermal systems Overview and prospective directions
摘要：AbstractGeothermal energy from deep underground (or geological) formations, with or without its combination with carbon capture and storage (CCS), can be a key technology to mitigate anthropogenic greenhouse gas emissions and meet the 2050 net-zero carbon emission target. Geothermal resources in low-permeability and medium- and high-temperature reservoirs in sedimentary sequence require hydraul...
阅读全文 PDF 引用Applications of artificial intelligence in geothermal resource exploration: A review
Mahmoud AlGaiar, Mamdud Hossain, Andrei Petrovski, Aref Lashin, Nadimul Faisal
发布时间：2024-09-27
关键词：Applications of artificial intelligence in geothermal resource exploration A review
摘要：AbstractArtificial intelligence (AI) has become increasingly important in geothermal exploration, significantly improving the efficiency of resource identification. This review examines current AI applications, focusing on the algorithms used, the challenges addressed, and the opportunities created. In addition, the review highlights the growth of machine learning applications in geothermal exp...
阅读全文 PDF 引用Application of machine learning and deep learning in geothermal resource development: Trends and perspectives
Abdulrahman Al-Fakih, Abdulazeez Abdulraheem, Sanlinn Kaka
发布时间：2024-05-23
关键词：artificial intelligence, deep learning, geothermal energy development, machine learning
摘要：AbstractThis 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 from Scopus and Google Scholar to identify emerging trends, challenges, and future opportunities. The re...
阅读全文 PDF 引用A state-of-the-art review on geothermal energy exploration in Morocco: Current status and prospects
Redouane Meryem, Khalis Hind, Haissen Faouziya, Sadki Othman, Berkat N. Eddine, Raji Mohammed
发布时间：2024-09-27
关键词：A stateoftheart review on geothermal energy exploration in Morocco Current status and prospects
摘要：AbstractIn the last few decades, addressing the global challenge of implementation of strategies for renewable energy and energy efficiency has become crucial. Morocco, since 2009, has made a steadfast commitment to sustainability, with a particular focus on advancing the development of renewable energy resources. A comprehensive strategy has been formulated, centering on utilizing the country'...
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