Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface.

Petroleum Reservoir Simulation, Second Edition, introduces this novel engineering approach for petroleum reservoir modeling and operations simulations. Updated with new exercises, a new glossary and a new chapter on how to create the data to run a simulation, this comprehensive reference presents step-by-step numerical procedures in an easy to understand format. Packed with practical examples and guidelines, this updated edition continues to deliver an essential tool for all petroleum and reservoir engineers.

Renewable energy is crucial to preserve the environment. This energy involves various systems that should be optimized and assessed to provide better performance. The goal of this book is to present the latest research works on nature-inspired computing approaches applied to the design and development of renewable energy systems. The design and development of renewable energy systems remain a challenge. This book focuses on nature-inspired computing approaches which are the most prevailing solutions. Therefore, the book provides new solutions to the renewable energy domain. It is an essential research book for researchers, students, engineers, and individuals working in the renewable energy industry.

Renewable energy sources (RES) are one of the important instruments that human beings can use to tackle problems created by climate change. We expect a quick expansion of RES in the next few years. One important new technology is the floating photovoltaic (FPV) which is at its very beginning but which after only 10 years from its first proposal has already reached the target of 2 GWp of plants installed. This book explores the reasons for such growth and the advantages of this new technology. FPV plants are easily integrated into any human settlements and can use available fresh water as well as salt water near coastal areas. So their geographic potential is unlimited. Furthermore, their environmental impact is limited and the managing and decommissioning of plants are very cheap. The book offers a perspective on the many facets of this technology as well as an analysis of the economic aspect and of the final electricity cost which in a short time will go down to less than 50 $ per MWh. Contributions from different authors have helped in sectors such as the raft structure, the wave impact, and the environment problems.

Hybrid Poly-generation Energy Systems: Thermal Design and Exergy Analysis provides an analysis of the latest technologies and concepts of hybrid energy systems, focusing on thermal applications. The book guides readers through an introduction to hybrid poly-generation systems and the storage options available before working through the types of hybrid systems, including solar, fuel cells, combustion, and heating and cooling. An analysis of the economic and environmental impact of each system is included, as well as methods and approaches for exergy and energy improvement analysis. This book can be used as a tool for understanding new concepts in this emerging field and as a reference for researchers and professionals working on the integrated cogeneration of power systems.

Since the 1970s, the field of industrial reliability has evolved significantly, in part due to the design and early operation of the first generation nuclear power plants. Indeed, the needs of this sector have led to the development of specific and innovative reliability methods, which have since been taken up and adapted by other industrial sectors, leading to the development of the management of uncertainties and Health and Usage Monitoring Systems. In this industry, reliability assessment approaches have matured. There are now methods, data and tools available that can be used with confidence for many industrial applications. The purpose of this book is to present and illustrate them with real study cases. The book addresses the evolution of reliability methods, experience feedback and expertise (as data is essential for estimating reliability), the reliability of socio-technical systems and probabilistic safety assessments, the structural reliability and probabilistic models in mechanics, the reliability of equipment and the impact of maintenance on their behavior, human and organizational factors and the impact of big data on reliability. Finally, some R&D perspectives that can be developed in the future are presented. Written by several engineers, statisticians and human and organizational factors specialists in the nuclear sector, this book is intended for all those who are faced with a reliability assessment of their installations or equipment: decision-makers, engineers, designers, operation or maintenance engineers, project managers, human and organizational factors specialists, experts and regulatory authority inspectors, teachers, researchers and doctoral students.

Catalysis, Green Chemistry and Sustainable Energy: New Technologies for Novel Business Opportunities offers new possibilities for businesses who want to address the current global transition period to adopt low carbon and sustainable energy production. This comprehensive source provides an integrated view of new possibilities within catalysis and green chemistry in an economic context, showing how these potential new technologies may become useful to business. Fundamentals and specific examples are included to guide the transformation of idea to innovation and business. Offering an overview of the new possibilities for creating business in catalysis, energy and green chemistry, this book is a beneficial tool for students, researchers and academics in chemical and biochemical engineering.

Simulation of Battery Systems: Fundamentals and Applications covers both the fundamental and technical aspects of battery systems. It is a solid reference on the simulation of battery dynamics based on fundamental governing equations of porous electrodes. Sections cover the fundamentals of electrochemistry and how to obtain electrochemical governing equations for porous electrodes, the governing equations and physical characteristics of lead-acid batteries, the physical characteristics of zinc-silver oxide batteries, experimental tests and parameters necessary for simulation and validation of battery dynamics, and an environmental impact and techno-economic assessment of battery systems for different applications, such as electric vehicles and battery energy storage. The book contains introductory information, with most chapters requiring a solid background in engineering or applied science. Battery industrial companies who want to improve their industrial batteries will also find this book useful.

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction provides an up-to- date overview on the broad area of wind generation and forecasting, with a focus on the role and need of Machine Learning in this emerging field of knowledge. Various regression models and signal decomposition techniques are presented and analyzed, including least-square, twin support and random forest regression, all with supervised Machine Learning. The specific topics of ramp event prediction and wake interactions are addressed in this book, along with forecasted performance. Wind speed forecasting has become an essential component to ensure power system security, reliability and safe operation, making this reference useful for all researchers and professionals researching renewable energy, wind energy forecasting and generation.

Energy for Sustainable Development: Demand, Supply, Conversion and Management presents a comprehensive look at recent developments and provides guidance on energy demand, supply, analysis and forecasting of modern energy technologies for sustainable energy conversion. The book analyzes energy management techniques and the economic and environmental impact of energy usage and storage. Including modern theories and the latest technologies used in the conversion of energy for traditional fossil fuels and renewable energy sources, this book provides a valuable reference on recent innovations. Researchers, engineers and policymakers will find this book to be a comprehensive guide on modern theories and technologies for sustainable development.

Graphene-Based Nanotechnologies for Energy and Environmental Applications explores how graphene-based materials are being used to make more efficient, reliable products and devices for energy storage and harvesting and environmental monitoring and purification. The book outlines the major sustainable, recyclable, and eco-friendly methods for using a range of graphene-based materials in innovative ways. It represents an important information source for materials scientists and engineers who want to learn more about the use of graphene-based nanomaterials to create the next generation of products and devices in energy and environmental science. Graphene-based nanotechnologies are at the heart of some of the most exciting developments in the fields of energy and environmental research. Graphene has exceptional properties, which are being used to create more effective products for electronic systems, environmental sensing devices, energy storage, electrode materials, fuel cell, novel nano-sorbents, membrane and photocatalytic degradation of environmental pollutants especially in the field of water and wastewater treatment.

Oil and gas engineers today use three main factors in deciding drilling fluids: cost, performance, and environmental impact, making water-based products a much more attractive option. Water-Based Chemicals and Technology for Drilling, Completion, and Workover Fluids effectively delivers all the background and infrastructure needed for an oil and gas engineer to utilize more water-based products that benefit the whole spectrum of the well's life cycle. Helping to mitigate critical well issues such as formation damage, fluid loss control, and borehole repair, more operators demand to know the full selection of water-based products available to consistently keep a peak well performance. This must-have training guide provides the necessary coverage in the area, broken down by type and use, along with an extensive list of supportive materials such as a chemical index of structural formulas and helpful list of references for further reading. In addition to understanding the types, special additives, and chemical compatibilities of the products available, the reader will also learn proper waste disposal techniques, including management of produced water, a component mandatory to hydraulic fracturing operations. Concise and comprehensive, Water-Based Chemicals and Technology for Drilling, Completion, and Workover Fluids details all the necessary educational content and handy references to elevate your well's performance while lowering your environmental impact.

Goal Oriented Methodology and Applications in Nuclear Power Plants: A Modern Systems Reliability Approach presents the latest data and research on the modern system reliability approach by GO methodology to improve the quality and reliability of nuclear power plants (NPP). Quality and reliability are two key factors which are critical to the economic success of NPPs, hence this book provides a comprehensive and systematic analysis of the latest data and research illustrated through the provision of examples and solutions, applications and problems to test comprehension. Authors Xiao-Jian, Jian and Hui-Na systematically illustrate reliability modeling, analysis, optimization allocation and assessment, and their applications in NPPs. This book, without assuming prior knowledge, presents all required information in an accessible and easily applied style. It will be particularly valuable to engineering and reliability professionals, nuclear engineering graduate students, reliability engineering specialists and nuclear energy researchers.

Carbon Based Nanomaterials for Advanced Thermal and Electrochemical Energy Storage and Conversion presents a comprehensive overview of recent theoretical and experimental developments and prospects on carbon-based nanomaterials for thermal, solar and electrochemical energy conversion, along with their storage applications for both laboratory and industrial perspectives. Large growth in human populations has led to seminal growth in global energy consumption, hence fossil fuel usage has increased, as have unwanted greenhouse gases, including carbon dioxide, which results in critical environmental concerns. This book discusses this growing problem, aligning carbon nanomaterials as a solution because of their structural diversity and electronic, thermal and mechanical properties.

Global Progress on Molten Salt Reactors: A Companion to Dolan’s Molten Salt Reactors and Thorium Energy, Second Edition presents global perspectives on the latest research and technological advances. Each case study utilizes a comprehensive template that guides the reader through country specific research. Useful data which can be applied to work and research is included, along with a list of references for further research. Researchers, professional engineers and policymakers will gain a broad picture of worldwide MSR activity and a deep understanding of how theory and practical guidance is applied in a variety of settings, including budgets, approaches and constraints.

Heat Exchange of Tubular Surfaces in a Bubbling Boiling Bed bridges the gap surrounding the study of a boiling bed of large particles with smooth and ribbed pipes, as well as pipe bundles. The book's authors combine results from experimental studies with their varied practical experience in fields of boiling bed applications across various disciplines such as chemical, pharmacological, metallurgical and power engineering industries. This book provides readers with a deep practical understanding of how to calculate the heat engineering parameters of ribbed pipe bundles in a boiling bed, along with the hydrodynamics of the boiling bed. Researchers and experts involved in the design, development and operation of boiling bed apparatus will follow step-by-step methods and procedures to gain knowledge of the hydrodynamic and heat exchange elements of the boiling bed which can be applied to their own settings. The effect of gas velocity, size and properties of the dispersed material, the geometric characteristics of the pipe bundle is also presented, alongside data on the effect of high temperature and high pressure of gas in a dispersed system on heat exchange intensity.

Advances in Ultra-low Emission Control Technologies for Coal-Fired Power Plants discusses the emissions standards of dust, SO2, NOx and mercury pollution, also presenting the key technologies available to control emissions in coal-fired power plants. The practical effects of ultra-low emissions projects included help the reader understand related implications in plants. Emphasis is placed on 300MW subcritical, 600MW subcritical, 660MW supercritical and 1000MW ultra-supercritical coal-fired units. The influence of different pollutant control units, such as wet electrostatic precipitator, desulfurization equipment and the electrostatic precipitator are also analyzed, and the pollutant levels before and after retrofitted ultra-low emissions are compared throughout.

There is huge potential for smaller wind turbines to provide clean energy around the world. Small wind turbines come in a variety of designs, and have similarities in principles and technology to small hydrokinetic turbines (SHKTs). SHKTs, in turn, can play an important role in hydropower. Small wind and hydrokinetic systems can even work together, for example, to power farms, communities, campuses, rural as well as remote rural areas, and island regions. This concise book, written by experts in the field, provides an in-depth overview of small turbines for wind and hydropower. Chapters cover resource assessment for wind and water, turbine technology, design of vertical and horizontal axis turbines, blade element analysis, vibration-based energy harvesting, very low head turbines, diffuser augmented wind turbines, and numerous case studies. Small Wind and Hydrokinetic Turbines is a valuable summary for researchers involved with small wind turbines and SHKT development and deployment, both in academia and industry, for research on powering remote areas, as well as for advanced students and manufacturers of turbines.

Microalgae Cultivation for Biofuels Production explores the technological opportunities and challenges involved in producing economically competitive algal-derived biofuel. The book discusses efficient methods for cultivation, improvement of harvesting and lipid extraction techniques, optimization of conversion/production processes of fuels and co-products, the integration of microalgae biorefineries to several industries, environmental resilience by microalgae, and a techno-economic and lifecycle analysis of the production chain to gain maximum benefits from microalgae biorefineries.

Decision Making Applications in Modern Power Systems presents an enhanced decision-making framework for power systems. Designed as an introduction to enhanced electricity system analysis using decision-making tools, it provides an overview of the different elements, levels and actors involved within an integrated framework for decision-making in the power sector. In addition, it presents a state-of-play on current energy systems, strategies, alternatives, viewpoints and priorities in support of decision-making in the electric power sector, including discussions of energy storage and smart grids. As a practical training guide on theoretical developments and the application of advanced methods for practical electrical energy engineering problems, this reference is ideal for use in establishing medium-term and long-term strategic plans for the electric power and energy sectors.