Data Analytics for Drilling Engineering, Qilong Xue
Автор: Martha Belem Saldivar M?rquez; Islam Boussaada; Hu Название: Analysis and Control of Oilwell Drilling Vibrations ISBN: 3319157469 ISBN-13(EAN): 9783319157467 Издательство: Springer Рейтинг: Цена: 113190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book reports the results of exhaustive research work on modeling and control of vertical oil well drilling systems.
Автор: Martha Belem Saldivar M?rquez; Islam Boussaada; Hu Название: Analysis and Control of Oilwell Drilling Vibrations ISBN: 3319386344 ISBN-13(EAN): 9783319386348 Издательство: Springer Рейтинг: Цена: 95770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book reports the results of exhaustive research work on modeling and control of vertical oil well drilling systems.
Автор: Gary S. Schajer, Philip S. Whitehead Название: Hole-Drilling Method for Measuring Residual Stresses ISBN: 1681732661 ISBN-13(EAN): 9781681732664 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 76690.00 T Наличие на складе: Невозможна поставка. Описание: This book describes the theory and practice of the Hole-Drilling Method for measuring residual stresses in engineering components. Such measurements are important because residual stresses have a ""hidden"" character because they exist locked-in within a material, independent of any external load. These stresses are typically created during component manufacture, for example, during welding, casting, or forming. Because of their hidden nature, residual stresses are difficult to measure and consequently are often ignored. However, they directly add to loading stresses and can cause catastrophic failure if not properly included during engineering design. Thus, there is an urgent need to be able to identify and measure residual stresses conveniently and reliably.The Hole-Drilling Method provides an adaptable and well-proven method for measuring residual stresses in a wide range of materials and component types. It is convenient to use and gives reliable results. Because of the hidden nature of residual stresses, the measurement method must necessarily be indirect, thus, additional care and conceptual understanding are necessary to achieve successful results. This book provides a practical introduction to the Hole-Drilling Method, starting from its historical roots and going on to focus on its modern practice. The various chapters describe the nature of residual stresses, the principle of hole-drilling measurements, procedures and guidance on how to make successful measurements, and effective mathematical procedures for stress computation and analysis. The book is intended for practitioners who need to make residual stress measurements either occasionally or routinely, for practicing engineers, for researchers, and for graduate engineering and science students.
Автор: Abdullah, Ahmad Название: Hole-making and Drilling Technology for Composites ISBN: 0081023979 ISBN-13(EAN): 9780081023976 Издательство: Elsevier Science Рейтинг: Цена: 207730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Hole-making and Drilling Technology for Composites: Advantages, Limitations and Potential presents the latest information on hole-making, one of the most commonly used processes in the machining of composites. The book provides practical guidance on hole-making and drilling technology and its application in composite materials and structures. Chapters are designed via selected case studies to identify the knowledge gap in hole-making operations in composites and to highlight the deficiencies of current methods. The book documents the latest research, providing a better understanding of the pattern and characterization of holes produced by various technologies in composite materials.
It is an essential reference resource for academic and industrial researchers and professional involved in the manufacturing and machining of composites. In addition, it is ideal for postgraduate students and designers working on the design and fabrication of polymeric composites in automotive and aerospace applications.
Features updated information on the most relevant hole-drilling methods and their potential in aircraft and other structural applications
Features practical guidance for the end user on how to select the most appropriate method when designing fiber-reinforced composite materials
Demonstrates systematic approaches and investigations on the design, development and characterization of 'composite materials'
Автор: Gary S. Schajer, Philip S. Whitehead Название: Hole-Drilling Method for Measuring Residual Stresses ISBN: 1681732688 ISBN-13(EAN): 9781681732688 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 97950.00 T Наличие на складе: Невозможна поставка. Описание: This book describes the theory and practice of the Hole-Drilling Method for measuring residual stresses in engineering components. Such measurements are important because residual stresses have a ""hidden"" character because they exist locked-in within a material, independent of any external load. These stresses are typically created during component manufacture, for example, during welding, casting, or forming. Because of their hidden nature, residual stresses are difficult to measure and consequently are often ignored. However, they directly add to loading stresses and can cause catastrophic failure if not properly included during engineering design. Thus, there is an urgent need to be able to identify and measure residual stresses conveniently and reliably.The Hole-Drilling Method provides an adaptable and well-proven method for measuring residual stresses in a wide range of materials and component types. It is convenient to use and gives reliable results. Because of the hidden nature of residual stresses, the measurement method must necessarily be indirect, thus, additional care and conceptual understanding are necessary to achieve successful results. This book provides a practical introduction to the Hole-Drilling Method, starting from its historical roots and going on to focus on its modern practice. The various chapters describe the nature of residual stresses, the principle of hole-drilling measurements, procedures and guidance on how to make successful measurements, and effective mathematical procedures for stress computation and analysis. The book is intended for practitioners who need to make residual stress measurements either occasionally or routinely, for practicing engineers, for researchers, and for graduate engineering and science students.
Автор: Albert J. Shih; Bruce L. Tai; Rui Li Название: Metal and Bone Drilling - The Thermal Aspects ISBN: 3030260461 ISBN-13(EAN): 9783030260460 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces state-of-the-art experimental and numerical methods and examples for evaluating the drilling performance of engineering and biological materials, particularly in thermal aspects. The authors use a common pathway to present the technological and analytical methods for both industry (metal) drilling and orthopaedic surgery (bone) drilling research, making this book a resource for both industrial and clinical readers who wish to understand the evolution of technologies, techniques and challenges in drilling. The authors also focus on advanced engineering materials, such as titanium alloys and high-strength cast irons, which have broad applications in the automotive, aerospace, medical device and sports industries. This book is a must-read for a broad audience, including engineering students in upper-level undergraduate and graduate courses that involve machining processes; for surgery residents, fellows, and practicing surgeons; and for engineers in the medical device industry who develop new bone cutting tools.Bridges the knowledge on drilling from the manufacturing industry to healthcare;Covers the experimental and modeling aspects of drilling thermal analysis;Includes experimental studies that contain parameters and data that emulate practical production and clinical drilling.
Автор: Comit? des Techniciens, Chambre Syndicale de la Re Название: Drilling Mud and Cement Slurry Rheology Manual ISBN: 9401092486 ISBN-13(EAN): 9789401092487 Издательство: Springer Рейтинг: Цена: 87070.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: P. Swarnalatha, Prabu Sevugan Название: Big Data Analytics for Satellite Image Processing and Remote Sensing ISBN: 1522536434 ISBN-13(EAN): 9781522536437 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 208830.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization.Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines the challenges and difficulties of implementing big data in image processing for remote sensing and related areas. Featuring coverage on a broad range of topics, such as distributed computing, parallel processing, and spatial data, this book is geared towards scientists, professionals, researchers, and academicians seeking current research on the use of big data analytics in satellite image processing and remote sensing.
Автор: C.S.R. Prabhu; Aneesh Sreevallabh Chivukula; Adity Название: Big Data Analytics: Systems, Algorithms, Applications ISBN: 9811500932 ISBN-13(EAN): 9789811500930 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Поставка под заказ. Описание:
This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy.
With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered.
In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition.
Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike.
Автор: Giabbanelli Название: Advanced Data Analytics in Health ISBN: 3319779109 ISBN-13(EAN): 9783319779102 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.
Автор: Valentina E. Balas; Vijender Kumar Solanki; Raghve Название: Internet of Things and Big Data Analytics for Smart Generation ISBN: 3030042022 ISBN-13(EAN): 9783030042028 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses emerging technologies in the field of the Internet of Things and big data, an area that will be scaled in next two decades. Written by a team of leading experts, it is the only book focusing on the broad areas of both the Internet of things and big data. The thirteen chapters present real-time experimental methods and theoretical explanations, as well as the implementation of these technologies through various applications. Offering a blend of theory and hands-on practices, the book enables graduate, postgraduate and research students who are involved in real-time project scaling techniques to understand projects and their execution. It is also useful for senior computer students, researchers and industry workers who are involved in experimenting with the Internet of Things and big data technologies, helping them to solve the real-time problem. Moreover, the chapters covering cutting-edge technologies help multidisciplinary researchers who are bridging the gap of two different outset real-time problems.
Автор: Paolo Massimo Buscema; William J. Tastle Название: Intelligent Data Mining in Law Enforcement Analytics ISBN: 9400796013 ISBN-13(EAN): 9789400796010 Издательство: Springer Рейтинг: Цена: 194730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this thorough review of cutting-edge methods in law-enforcement data mining, the authors bring the latest research on artificial intelligence to life with chapters on key neural network developments in law enforcement that make criminality more foreseeable.
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