This book focuses on the usage of geothermal energy in countries with low-enthalpy reservoirs. It begins with the fundamentals of geothermal energy and classification of geothermal resources and their importance, including enhanced geothermal systems (EGS). Further, it discusses the creation, production, potential assessment, perspective analysis, life cycle, and environmental assessments of EGS. It describes applications in the field of geothermal energy with relevant case studies and introduces the application of machine learning techniques in the field of geothermal sectors.

Features:

• Focuses on the development of low- to moderate-enthalpy geothermal resources
• Introduces machine learning tools and artificial intelligence as applied to geothermal energy
• Provides an understanding of geothermal energy resources and EGS
• Discusses the possibility of EGS using spallation and laser drilling
• Includes stimulation methods (thermal, hydraulic, chemical, and explosive) and case studies

This book is aimed at researchers and graduate students in geology, clean energy, geothermal energy, and thermal engineering.
About the Author:

Dr. Kriti Yadav

Dr. Kriti Yadav is a Project Coordinator at Centre of Excellence for Geothermal Energy, Pandit Deendayal Energy University. Dr. Kriti Yadav has worked as assistant professor at School of Petroleum Technology, Pandit Deendayal Energy University from period January, 2017 to June, 2017. She has also served Centre of Excellence for Geothermal energy as research associate and research scientist. She has Bachelor's and Master's degree in geology from Patna University. She has doctoral degree from School of Petroleum Technology entitled Exploration of Geothermal Hot Spots in Gujarat, India. She has also earned diploma in geothermal utilization from UNESCO, GRO-GTP, Reykjavik, Iceland Program in year 2021. The area of research interest of Dr. Kriti are in the field of exploration, geology, natural gas and city gas distribution. Dr. Kriti has published several papers in national and international journals along with conferences. She has published four books in the field of geothermal and city gas distribution. She has published several technical design patents. She has also served as reviewer in several reputed journals of Springer and Elsevier.

Dr. Anirbid Sircar

Dr Anirbid Sircar is the Dean -Research and Development of Pandit Deendayal Energy University (PDEU), India. He served the University as a Director of School of Petroleum Technology, PDEU and Director General of the mother Institute GERMI. Before joining PDEU Dr. Sircar worked for Oil and Gas Industries such as L&T, Tullow Oil, HPCL, Enpro and Jubilant Energy.

Research interest of Dr Sircar is Petroleum Exploration, Geothermal Energy along with Natural Gas and City Gas Distribution. He is a Professor in School of Petroleum Technology and serving as Head of Centre of Excellence for Geothermal Energy. Dr. Sircar acted as a member of task force on Geothermal Energy established by Ministry of New Renewable Energy, Government of India.

Dr. Sircar did his undergraduate in Exploration Geophysics from IIT Kharagpur and M Tech in Petroleum Exploration from IIT ISM Dhanbad. He received his PhD degree in Tomography from same Institute. He has successfully guided 34 M. Tech students and 9 PhD students. He has also completed seven funded projects. Dr Sircar published 126 papers in national and international journals, authored four books and has seven granted patents. He has also been reviewer to several reputed journals of Taylor and Francis, Springer and Elsevier.

Mr. Apurwa Yadav

Apurwa Yadav is a Computer Engineer from silver Oak college of engineering and technology. Since 2018 he has been working as an independent researcher in the field of AI. He has published several research papers in various reputed journals like springer and Elsevier. In addition, he has also had the honour to present his work on a platform like 45th Stanford geothermal workshop held by Stanford University. His areas of interest include machine learning and deep learning techniques like computer vision, natural language processing, transfer learning etc. He has worked in the field of data science as well as software engineer.