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Elsevier

Books in Physical sciences and engineering

  • Petroleum Production Engineering

    • 2nd Edition
    • Boyun Guo + 2 more
    • English
    Petroleum Production Engineering, Second Edition, updates both the new and veteran engineer on how to employ day-to-day production fundamentals to solve real-world challenges with modern technology. Enhanced to include equations and references with today’s more complex systems, such as working with horizontal wells, workovers, and an entire new section of chapters dedicated to flow assurance, this go-to reference remains the most all-inclusive source for answering all upstream and midstream production issues. Completely updated with five sections covering the entire production spectrum, including well productivity, equipment and facilities, well stimulation and workover, artificial lift methods, and flow assurance, this updated edition continues to deliver the most practical applied production techniques, answers, and methods for today’s production engineer and manager. In addition, updated Excel spreadsheets that cover the most critical production equations from the book are included for download.

  • Diffuse Algorithms for Neural and Neuro-Fuzzy Networks

    With Applications in Control Engineering and Signal Processing
    • 1st Edition
    • Boris.A Skorohod
    • English
    Diffuse Algorithms for Neural and Neuro-Fuzzy Networks: With Applications in Control Engineering and Signal Processing presents new approaches to training neural and neuro-fuzzy networks. This book is divided into six chapters. Chapter 1 consists of plants models reviews, problems statements, and known results that are relevant to the subject matter of this book. Chapter 2 considers the RLS behavior on a finite interval. The theoretical results are illustrated by examples of solving problems of identification, control, and signal processing. Properties of the bias, the matrix of second-order moments and the normalized average squared error of the RLS algorithm on a finite time interval are studied in Chapter 3. Chapter 4 deals with the problem of multilayer neural and neuro-fuzzy networks training with simultaneous estimation of the hidden and output layers parameters. The theoretical results are illustrated with the examples of pattern recognition, identification of nonlinear static, and dynamic plants. Chapter 5 considers the estimation problem of the state and the parameters of the discrete dynamic plants in the absence of a priori statistical information about initial conditions or its incompletion. The Kalman filter and the extended Kalman filter diffuse analogues are obtained. Finally, Chapter 6 provides examples of the use of diffuse algorithms for solving problems in various engineering applications. This book is ideal for researchers and graduate students in control, signal processing, and machine learning.

  • Managing the Web of Things

    Linking the Real World to the Web
    • 1st Edition
    • Michael Sheng + 3 more
    • English
    Managing the Web of Things: Linking the Real World to the Web presents a consolidated and holistic coverage of engineering, management, and analytics of the Internet of Things. The web has gone through many transformations, from traditional linking and sharing of computers and documents (i.e., Web of Data), to the current connection of people (i.e., Web of People), and to the emerging connection of billions of physical objects (i.e., Web of Things). With increasing numbers of electronic devices and systems providing different services to people, Web of Things applications present numerous challenges to research institutions, companies, governments, international organizations, and others. This book compiles the newest developments and advances in the area of the Web of Things, ranging from modeling, searching, and data analytics, to software building, applications, and social impact. Its coverage will enable effective exploration, understanding, assessment, comparison, and the selection of WoT models, languages, techniques, platforms, and tools. Readers will gain an up-to-date understanding of the Web of Things systems that accelerates their research.

  • More Best Practices for Rotating Equipment

    • 1st Edition
    • Michael S. Forsthoffer
    • English
    More Best Practices for Rotating Equipment follows Forsthoffer’s multi-volume Rotating Equipment Handbooks, addressing the latest best practices in industrial rotating machinery and also including a comprehensive treatment of the basics for reference. The author’s famous troubleshooting approach teaches the reader proven methodologies for installation, operation, and maintenance of equipment, and covers all phases of work with rotating equipment. Reliability optimization is also addressed for the first time. The book is ideal for engineers working in the design, installation, operation, and maintenance of power machinery. It is also an essential source of information for postgraduate students and researchers of mechanical and industrial engineering.

  • Discrete-Time Neural Observers

    Analysis and Applications
    • 1st Edition
    • Alma Y Alanis + 1 more
    • English
    Discrete-Time Neural Observers: Analysis and Applications presents recent advances in the theory of neural state estimation for discrete-time unknown nonlinear systems with multiple inputs and outputs. The book includes rigorous mathematical analyses, based on the Lyapunov approach, that guarantee their properties. In addition, for each chapter, simulation results are included to verify the successful performance of the corresponding proposed schemes. In order to complete the treatment of these schemes, the authors also present simulation and experimental results related to their application in meaningful areas, such as electric three phase induction motors and anaerobic process, which show the applicability of such designs. The proposed schemes can be employed for different applications beyond those presented. The book presents solutions for the state estimation problem of unknown nonlinear systems based on two schemes. For the first one, a full state estimation problem is considered; the second one considers the reduced order case with, and without, the presence of unknown delays. Both schemes are developed in discrete-time using recurrent high order neural networks in order to design the neural observers, and the online training of the respective neural networks is performed by Kalman Filtering.

  • Emerging Nanotechnologies in Rechargeable Energy Storage Systems

    • 1st Edition
    • Lide M Rodriguez-Martinez + 1 more
    • English
    Emerging Nanotechnologies in Rechargeable Energy Storage Systems addresses the technical state-of-the-art of nanotechnology for rechargeable energy storage systems. Materials characterization and device-modeling aspects are covered in detail, with additional sections devoted to the application of nanotechnology in batteries for electrical vehicles. In the later part of the book, safety and regulatory issues are thoroughly discussed. Users will find a valuable source of information on the latest developments in nanotechnology in rechargeable energy storage systems. This book will be of great use to researchers and graduate students in the fields of nanotechnology, electrical energy storage, and those interested in materials and electrochemical cell development.

  • Big Data Analytics for Sensor-Network Collected Intelligence

    • 1st Edition
    • Hui-Huang Hsu + 2 more
    • English
    Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS

  • Geographical Models with Mathematica

    • 1st Edition
    • Andre Dauphine
    • English
    Geographical Models with Mathematica provides a fairly comprehensive overview of the types of models necessary for the development of new geographical knowledge, including stochastic models, models for data analysis, for geostatistics, for networks, for dynamic systems, for cellular automata and for multi-agent systems, all discussed in their theoretical context. The author then provides over 65 programs, written in the Mathematica language, that formalize these models. Case studies are provided to help the reader apply these programs to their own studies.

  • Radioactive Investigations of Oil and Gas Wells

    A Textbook
    • 1st Edition
    • O. A. Barsukov + 2 more
    • English
    Radioactive Investigations of Oil and Gas Wells: A Textbook focuses on the radioactive methods used in the investigations of oil and gas wells, including radioactivity, nuclear reactions, and tracer method. The book first offers information on physical principles of the radiometry of wells and radioactive properties of rocks. Discussions focus on artificial transformation of elements and nuclear reactions; radioactivity and the law of radioactive disintegration; natural radioactivity; and induced radioactivity of rocks. The text then ponders on the methods of well geometry and radiometric apparatus. The publication examines the interpretation of results of measurements by the natural radioactivity method and working technique and interpretation of diagrams of the tracer method. Topics include selection of the radioactive isotope and technology of preparation of activated fluid and determination of absorbing strata and of communication between the strata outside the tubing in production wells and pressurized wells. The text is a dependable reference for readers interested in the radioactive methods used in the investigations of oil and gas wells.

  • Transition Metal-Catalyzed Benzofuran Synthesis

    Transition Metal-Catalyzed Heterocycle Synthesis Series
    • 1st Edition
    • Xiao-Feng Wu + 1 more
    • English
    Transition Metal-Catalyzed Benzofuran Synthesis: Transition Metal-Catalyzed Heterocycle Synthesis Series provides an overview of benzofuran, describing properties of these heterocycle compounds and the traditional synthetic procedures used for them. The book then explores catalyzed procedures for benzofuran synthesis in greater detail and depth than is currently available in published review articles. This volume is part of the short series authored by Xiao-Feng Wu that summarizes recent achievements on heterocycle synthesis with transition metals as catalysts, with each volume dedicated to one heterocycle compound.

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