Utilization Of Thermal Potential Of Abandoned Wells

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Utilization of Thermal Potential of Abandoned Wells

Utilization of Thermal Potential of Abandoned Wells: Fundamentals, Applications and Research is a lucid treatment of the fundamental concepts related to the energy harvesting of abandoned wells. The book provides a journey through recent technological developments to harvest energy from abandoned geothermal wells and allows the reader to view the process from a thermodynamic and numerical modeling perspective. Various applications and future prospects are also discussed to help inform reader's future work and research. Students, researchers and engineers will gain a thorough understanding on how to harvest energy from abandoned geothermal wells, particularly to make sound thermodynamic and economic evaluations. System designers and others engaged in the energy sector will understand how to design and choose the most appropriate technology, how to determine its efficiency, monitor the facility, and how to make informed physical and economical decisions for necessary improvements and environmental assessments. - Logically works through fundamentals, with various examples throughout - Provides instruction to simulate thermodynamic models and design efficient systems - Presents feasibility studies and applications
Proceedings of the International Field Exploration and Development Conference 2023

This book focuses on reservoir surveillance and management, reservoir evaluation and dynamic description, reservoir production stimulation and EOR, ultra-tight reservoir, unconventional oil and gas resources technology, oil and gas well production testing, and geomechanics. This book is a compilation of selected papers from the 13th International Field Exploration and Development Conference (IFEDC 2023). The conference not only provides a platform to exchanges experience, but also promotes the development of scientific research in oil and gas exploration and production. The main audience for the work includes reservoir engineer, geological engineer, enterprise managers, senior engineers as well as students.
Computational Intelligence

This book provides a comprehensive exploration of computational intelligence techniques and their applications, offering valuable insights into advanced information processing, machine learning concepts, and their impact on agile manufacturing systems. Computational Intelligence presents a new concept for advanced information processing. Computational Intelligence (CI) is the principle, architecture, implementation, and growth of machine learning concepts that are physiologically and semantically inspired. Computational Intelligence methods aim to develop an approach to evaluating and creating flexible processing of human information, such as sensing, understanding, learning, recognizing, and thinking. The Artificial Neural Network simulates the human nervous system’s physiological characteristics and has been implemented numerically for non-linear mapping. Fuzzy Logic Systems simulate the human brain’s psychological characteristics and have been used for linguistic translation through membership functions and bioinformatics. The Genetic Algorithm simulates computer evolution and has been applied to solve problems with optimization algorithms for improvements in diagnostic and treatment technologies for various diseases. To expand the agility and learning capacity of manufacturing systems, these methods play essential roles. This book will express the computer vision techniques that make manufacturing systems more flexible, efficient, robust, adaptive, and productive by examining many applications and research into computational intelligence techniques concerning the main problems in design, making plans, and manufacturing goods in agile manufacturing systems.