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.

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.

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 studiesThis book is aimed at researchers and graduate students in geology, clean energy, geothermal energy, and thermal engineering.

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.

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.

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 studiesThis book is aimed at researchers and graduate students in geology, clean energy, geothermal energy, and thermal engineering.