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.