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Data Analytics In Energy Resources Exploration

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Future Directions for the U S Geological Survey s Energy Resources Program

Future Directions for the U S  Geological Survey s Energy Resources Program Book
Author : National Academies of Sciences, Engineering, and Medicine,Division on Earth and Life Studies,Board on Earth Sciences and Resources,Committee on Earth Resources,Committee on Future Directions for the U.S. Geological Survey's Energy Resources Program
Publisher : National Academies Press
Release : 2018-09-04
ISBN : 0309477433
Language : En, Es, Fr & De

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Book Description :

Reliable, affordable, and technically recoverable energy is central to the nation's economic and social vitality. The United States is both a major consumer of geologically based energy resources from around the world and - increasingly of late - a developer of its own energy resources. Understanding the national and global availability of those resources as well as the environmental impacts of their development is essential for strategic decision making related to the nation's energy mix. The U.S. Geological Survey Energy Resources Program is charged with providing unbiased and publicly available national- and regional-scale assessments of the location, quantity, and quality of geologically based energy resources and with undertaking research related to their development. At the request of the Energy Resources Program (ERP), this publication considers the nation's geologically based energy resource challenges in the context of current national and international energy outlooks. Future Directions for the U.S. Geological Survey's Energy Resources Program examines how ERP activities and products address those challenges and align with the needs federal and nonfederal consumers of ERP products. This study contains recommendations to develop ERP products over the next 10-15 years that will most effectively inform both USGS energy research priorities and the energy needs and priorities of the U.S. government.

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making Book
Author : Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari
Publisher : Springer
Release : 2019-07-05
ISBN : 3030237567
Language : En, Es, Fr & De

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Book Description :

This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.

Harness Oil and Gas Big Data with Analytics

Harness Oil and Gas Big Data with Analytics Book
Author : Keith R. Holdaway
Publisher : John Wiley & Sons
Release : 2014-05-27
ISBN : 1118779312
Language : En, Es, Fr & De

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Book Description :

Use big data analytics to efficiently drive oil and gas exploration and production Harness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization. This spans exploration, development, production and rejuvenation of oil and gas assets. The book serves as a guide for fully leveraging data, statistical, and quantitative analysis, exploratory and predictive modeling, and fact-based management to drive decision making in oil and gas operations. This comprehensive resource delves into the three major issues that face the oil and gas industry during the exploration and production stages: Data management, including storing massive quantities of data in a manner conducive to analysis and effectively retrieving, backing up, and purging data Quantification of uncertainty, including a look at the statistical and data analytics methods for making predictions and determining the certainty of those predictions Risk assessment, including predictive analysis of the likelihood that known risks are realized and how to properly deal with unknown risks Covering the major issues facing the oil and gas industry in the exploration and production stages, Harness Big Data with Analytics reveals how to model big data to realize efficiencies and business benefits.

Use of Earth Observations for Actionable Decision Making in the Developing World

Use of Earth Observations for Actionable Decision Making in the Developing World Book
Author : Niall Patrick Hanan,Ashutosh S. Limaye,Daniel Eric Irwin
Publisher : Frontiers Media SA
Release : 2021-01-13
ISBN : 2889663825
Language : En, Es, Fr & De

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Book Description :

Download Use of Earth Observations for Actionable Decision Making in the Developing World book written by Niall Patrick Hanan,Ashutosh S. Limaye,Daniel Eric Irwin, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Proceedings of 3rd International Conference on Computing Informatics and Networks

Proceedings of 3rd International Conference on Computing Informatics and Networks Book
Author : Ajith Abraham,Oscar Castillo,Deepali Virmani
Publisher : Springer Nature
Release : 2021
ISBN : 981159712X
Language : En, Es, Fr & De

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Book Description :

This book is a collection of high-quality peer-reviewed research papers presented in the Third International Conference on Computing Informatics and Networks (ICCIN 2020) organized by the Department of Computer Science and Engineering (CSE), Bhagwan Parshuram Institute of Technology (BPIT), Delhi, India, during 29-30 July 2020. The book discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academic and industry present their original work and exchange ideas, information, techniques and applications in the field of artificial intelligence, expert systems, software engineering, networking, machine learning, natural language processing and high-performance computing.

Data Analytics for Drilling Engineering

Data Analytics for Drilling Engineering Book
Author : Qilong Xue
Publisher : Springer Nature
Release : 2019-12-30
ISBN : 303034035X
Language : En, Es, Fr & De

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Book Description :

This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them. In drilling engineering, many signal processing technologies are required to solve practical problems, such as downhole information transmission, spatial attitude of drillstring, drillstring dynamics, seismic activity while drilling, among others. This title attempts to bridge the gap between the signal processing and data mining and oil and gas drilling engineering communities. There is an urgent need to summarize signal processing and data mining issues in drilling engineering so that practitioners in these fields can understand each other in order to enhance oil and gas drilling functions. In summary, this book shows the importance of signal processing and data mining to researchers and professional drilling engineers and open up a new area of application for signal processing and data mining scientists.

Data Science for Business

Data Science for Business Book
Author : Foster Provost,Tom Fawcett
Publisher : "O'Reilly Media, Inc."
Release : 2013-07-27
ISBN : 1449374298
Language : En, Es, Fr & De

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Book Description :

Annotation This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. By learning data science principles, you will understand the many data-mining techniques in use today. More importantly, these principles underpin the processes and strategies necessary to solve business problems through data mining techniques.

Big Data Analytics for Cyber Physical System in Smart City

Big Data Analytics for Cyber Physical System in Smart City Book
Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Publisher : Springer Nature
Release : 2020-01-11
ISBN : 9811525684
Language : En, Es, Fr & De

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Book Description :

This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Research Anthology on Big Data Analytics Architectures and Applications

Research Anthology on Big Data Analytics  Architectures  and Applications Book
Author : Management Association, Information Resources
Publisher : IGI Global
Release : 2021-09-24
ISBN : 1668436639
Language : En, Es, Fr & De

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Book Description :

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Privacy Vulnerabilities and Data Security Challenges in the IoT

Privacy Vulnerabilities and Data Security Challenges in the IoT Book
Author : Shivani Agarwal,Sandhya Makkar,Duc-Tan Tran
Publisher : CRC Press
Release : 2020-11-23
ISBN : 1000201600
Language : En, Es, Fr & De

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Book Description :

This book discusses the evolution of security and privacy issues in the Internet of Things (IoT). The book focuses on assembling all security- and privacy-related technologies into a single source so that students, researchers, academics, and those in the industry can easily understand the IoT security and privacy issues. This edited book discusses the use of security engineering and privacy-by-design principles to design a secure IoT ecosystem and to implement cyber-security solutions. This book takes the readers on a journey that begins with understanding security issues in IoT-enabled technologies and how these can be applied in various sectors. It walks readers through engaging with security challenges and building a safe infrastructure for IoT devices. The book helps researchers and practitioners understand the security architecture of IoT and the state-of-the-art in IoT countermeasures. It also differentiates security threats in IoT-enabled infrastructure from traditional ad hoc or infrastructural networks, and provides a comprehensive discussion on the security challenges and solutions in RFID and WSNs in IoT. This book aims to highlight the concepts of related technologies and novel findings by researchers through its chapter organization. The primary audience comprises specialists, researchers, graduate students, designers, experts, and engineers undertaking research on security-related issues.

Recent Advances in Technology Acceptance Models and Theories

Recent Advances in Technology Acceptance Models and Theories Book
Author : Mostafa Al-Emran,Khaled Shaalan
Publisher : Springer Nature
Release : 2021-04-16
ISBN : 3030649873
Language : En, Es, Fr & De

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Book Description :

This book tackles the latest research trends in technology acceptance models and theories. It presents high-quality empirical and review studies focusing on the main theoretical models and their applications across various technologies and contexts. It also provides insights into the theoretical and practical aspects of different technological innovations that assist decision-makers in formulating the required policies and procedures for adopting a specific technology.

eWork and eBusiness in Architecture Engineering and Construction

eWork and eBusiness in Architecture  Engineering and Construction Book
Author : Ardeshir Mahdavi,Bob Martens,Raimar Scherer
Publisher : CRC Press
Release : 2014-08-21
ISBN : 1138027103
Language : En, Es, Fr & De

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Book Description :

In the last two decades, the biannual ECPPM (European Conference on Product and Process Modelling) conference series has provided a unique platform for the presentation and discussion of the most recent advances with regard to the ICT (Information and Communication Technology) applications in the AEC/FM (Architecture, Engineering, Construction and Facilities Management) domains. ECPPM 2014, the 10th European Conference on Product and Process Modelling, was hosted by the Department of Building Physics and Building Ecology of the Vienna University of Technology, Austria (17-19 September 2014). This book entails a substantial number of high-quality contributions that cover a large spectrum of topics pertaining to ICT deployment instances in AEC/FM, including: - BIM (Building Information Modelling) - ICT in Civil engineering & Infrastructure - Human requirements & factors - Computational decision support - Commissioning, monitoring & occupancy - Energy & management - Ontology, data models, and IFC (Industry Foundation Classes) - Energy modelling - Thermal performance simulation - Sustainable buildings - Micro climate modelling - Model calibration - Project & construction management - Data & information management As such, eWork and eBusiness in Architecture, Engineering and Construction 2014 represents a rich and comprehensive resource for academics and professionals working in the interdisciplinary areas of information technology applications in architecture, engineering, and construction.

Cloud Computing for Geospatial Big Data Analytics

Cloud Computing for Geospatial Big Data Analytics Book
Author : Himansu Das,Rabindra K. Barik,Harishchandra Dubey,Diptendu Sinha Roy
Publisher : Springer
Release : 2018-12-11
ISBN : 3030033597
Language : En, Es, Fr & De

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Book Description :

This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.

Data Science and Big Data An Environment of Computational Intelligence

Data Science and Big Data  An Environment of Computational Intelligence Book
Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer
Release : 2017-03-21
ISBN : 3319534742
Language : En, Es, Fr & De

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Book Description :

This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

Big Data Analytics

Big Data Analytics Book
Author : Soraya Sedkaoui,Mounia Khelfaoui,Nadjat Kadi
Publisher : CRC Press
Release : 2021-07-05
ISBN : 1000290530
Language : En, Es, Fr & De

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Book Description :

This volume explores the diverse applications of advanced tools and technologies of the emerging field of big data and their evidential value in business. It examines the role of analytics tools and methods of using big data in strengthening businesses to meet today’s information challenges and shows how businesses can adapt big data for effective businesses practices. This volume shows how big data and the use of data analytics is being effectively adopted more frequently, especially in companies that are looking for new methods to develop smarter capabilities and tackle challenges in dynamic processes. Many illustrative case studies are presented that highlight how companies in every sector are now focusing on harnessing data to create a new way of doing business.

Internet of Things

Internet of Things Book
Author : Nasreddine Bouhaï,Imad Saleh
Publisher : John Wiley & Sons
Release : 2017-10-30
ISBN : 1119476577
Language : En, Es, Fr & De

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Book Description :

The development of connected, communicating objects is showing no signs of slowing down. With an increasing number of objects available on the market, the evolution of the Internet of Things is leading to more and more fields being explored via information and communication sciences. This book analyzes the ecosystem of the Internet of Things by retracing the historical and technological context of the Internet's evolution from traditional to dynamic, social and semantic, and then towards this ecosystem of connected objects. The evolution of concepts surrounding the Internet of Things is explored via real-life examples of connected objects; both those used for specific functions and for more general everyday objects. Numerous issues associated with these new technological and digital transformations in a "hyperconnected" world, as well as the impact of the massive influx of connected objects, are discussed. The crucial questions of potential intrusion into the private lives of users as well that of security are then studied.

Introduction to Digital Transformation

Introduction to Digital Transformation Book
Author : Abbas Strømmen-Bakhtiar
Publisher : Informing Science Press
Release : 2021-12-06
ISBN : 1681100509
Language : En, Es, Fr & De

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Book Description :

This book aims to inform the non-IT specialist about the technological revolution that is taking place and, specifically, how the digital component of it is affecting our lives. It is hoped that this information will fill possible information gaps in readers’ mental model, enabling them to make better-informed decisions. This book can also be used as a textbook in a stand-alone introductory course to the digital revolution and its effects on society. The course could be used in both bachelor and master degree programs in business management, healthcare management, sociology, or any other non-IT programs. Chapter 1. This chapter, although the longest, is a brief review of the interactions between technology, economy, and politics. The subject is a much neglected one, and I believe that understanding of these interactions is vital for understanding the underlying causes of some of our most important pressing issues. The chapter discusses the interactions between technologies, economy, and politics, examining the effect of technologies on economic development and political ideologies. Chapter 2. This chapter deals with technological revolutions in general and the digital revolution in particular. I shall discuss the components of the digital economy. These being: knowledge, digitisation, virtualisation, molecularization, integration/internetworking, disintermediation, convergence, innovation, sharing economy, immediacy, and discordant. In addition, we shall examine the disruptors that are changing the face of competition in the marketplace. Chapter 3. This chapter deals with digital transformation, i.e., the process of using digital technology in all areas of business, changing the way the businesses operate and deliver value to their customers. We shall examine models for dealing with digital transformation. Chapter 4. We shall examine one of the most important developments of the 21st century, namely the advancements in Artificial Intelligence (AI). We shall look at how the human brain works and what is intelligence. We shall look at the artificial neural networks, machine learning, and deep learning. We shall also look at the deployment of AI in various fields such as healthcare, finance, Natural Language Processing (NPL), news media, and warfare. Chapter 5. This chapter deals with one of the most controversial and yet promising developments in finance and distributed secure databases, namely cryptocurrencies and blockchains. This subject is divided into two parts — the first part deals with the cryptocurrencies, and their viability as currencies. One of the most popular cryptocurrencies, the Bitcoin, will be examined in depth. The second part is somewhat technical and deals with the inner workings of the blockchains. As with cryptocurrencies, many see a bright future for the blockchains, especially in the form of smart contracts. Many believe that blockchains will be of great value in areas such as finance, handling contracts, healthcare and more. Blockchain promises to bring disintermediation to many industries and thereby reduce costs. Chapter 6. Technological revolutions tend to disrupt the lives of many middle-aged and older workers. New technologies give birth to new industries, destroying the old industries in the process. New technologies often require special skills that the old industry workers do not possess. The laid-off workers of the old industries can seldom find jobs in new industries since the new industries often rely on new technologies and skills that the old-industry workers do not possess. These workers need training, something that the prospective employers do not provide. Also, the new technologies, including AI, are automating many tasks, reducing the need for human workers. This chapter discusses the issue of automation and its effect on employment. Additionally, the type of jobs that are in danger of automation is discussed as well. Chapter 7. While chapter six discussed the employment situation, chapter seven considers the type of education required by the new industries. Also, the weaknesses of the existing educational system are considered, and alternative systems are proposed. Chapter 8. History tells us that whenever there has been a technological revolution, it has been accompanied by a shift in power, both nationally and internationally. The global shift of power has seldom been a peaceful affair. It often has resulted in major wars and global reorientation. This chapter discusses the possibility of the global shift of power. Currently, there are not that many countries or entities that can be considered as contenders. Of the three, Russia, European Union, and China, only one, China, is considered to have any chance of wresting power from the United States. The technological, economic and military power of China is compared and contrasted with the United States’.

Internet of Things and Data Analytics Handbook

Internet of Things and Data Analytics Handbook Book
Author : Hwaiyu Geng
Publisher : John Wiley & Sons
Release : 2016-12-20
ISBN : 1119173620
Language : En, Es, Fr & De

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Book Description :

This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing, and implementing IoT projects. The book is written by experts on the subject matter, including international experts from nine countries in the consumer and enterprise fields of IoT. The text starts with an overview and anatomy of IoT, ecosystem of IoT, communication protocols, networking, and available hardware, both present and future applications and transformations, and business models. The text also addresses big data analytics, machine learning, cloud computing, and consideration of sustainability that are essential to be both socially responsible and successful. Design and implementation processes are illustrated with best practices and case studies in action. In addition, the book: Examines cloud computing, data analytics, and sustainability and how they relate to IoT overs the scope of consumer, government, and enterprise applications Includes best practices, business model, and real-world case studies Hwaiyu Geng, P.E., is a consultant with Amica Research (www.AmicaResearch.org, Palo Alto, California), promoting green planning, design, and construction projects. He has had over 40 years of manufacturing and management experience, working with Westinghouse, Applied Materials, Hewlett Packard, and Intel on multi-million high-tech projects. He has written and presented numerous technical papers at international conferences. Mr. Geng, a patent holder, is also the editor/author of Data Center Handbook (Wiley, 2015).

Encyclopedia of Information Systems and Technology Two Volume Set

Encyclopedia of Information Systems and Technology   Two Volume Set Book
Author : Phillip A. Laplante
Publisher : CRC Press
Release : 2015-12-29
ISBN : 1482214326
Language : En, Es, Fr & De

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Book Description :

Spanning the multi-disciplinary scope of information technology, the Encyclopedia of Information Systems and Technology draws together comprehensive coverage of the inter-related aspects of information systems and technology. The topics covered in this encyclopedia encompass internationally recognized bodies of knowledge, including those of The IT BOK, the Chartered Information Technology Professionals Program, the International IT Professional Practice Program (British Computer Society), the Core Body of Knowledge for IT Professionals (Australian Computer Society), the International Computer Driving License Foundation (European Computer Driving License Foundation), and the Guide to the Software Engineering Body of Knowledge. Using the universally recognized definitions of IT and information systems from these recognized bodies of knowledge, the encyclopedia brings together the information that students, practicing professionals, researchers, and academicians need to keep their knowledge up to date. Also Available Online This Taylor & Francis encyclopedia is also available through online subscription, offering a variety of extra benefits for researchers, students, and librarians, including:  Citation tracking and alerts  Active reference linking  Saved searches and marked lists  HTML and PDF format options Contact Taylor and Francis for more information or to inquire about subscription options and print/online combination packages. US: (Tel) 1.888.318.2367; (E-mail) [email protected] International: (Tel) +44 (0) 20 7017 6062; (E-mail) [email protected]

Advances in Subsurface Data Analytics

Advances in Subsurface Data Analytics Book
Author : Shuvajit Bhattacharya,Haibin Di
Publisher : Elsevier
Release : 2022-03-01
ISBN : 0128223081
Language : En, Es, Fr & De

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Book Description :

Advances in Subsurface Data Analytics: Traditional and Physics-Based Machine Learning brings together popular, emerging machine learning algorithms and their applications in subsurface analysis, including geology, geophysics and petrophysics. Each chapter focuses on one machine learning algorithm and includes detailed workflow, applications and case studies. In addition, some of the chapters contain algorithm comparisons to better equip readers with different strategies to implement automated workflows for subsurface analysis. This book will help researchers in academia and professional geoscientists working in the oil and gas industry understand and appreciate the existence of machine learning and deep learning models. In addition, users will learn how to optimize performance and explore applications in the geosciences by bringing together several contributions in a single volume. Covers the fundamentals of simple machine learning and emerging deep learning algorithms written by practitioners in academia and industry Presents detailed case studies of individual machine learning algorithms around the world, including those used for conventional and unconventional reservoirs Offers an analysis of future trends