Advances in Subsurface Data Analytics

Produk Detail:
  • Author : Shuvajit Bhattacharya
  • Publisher : Elsevier
  • Pages : 400 pages
  • ISBN : 0128223081
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Advances in Subsurface Data Analytics

Download or Read online Advances in Subsurface Data Analytics full in PDF, ePub and kindle. this book written by Shuvajit Bhattacharya and published by Elsevier which was released on 01 March 2022 with total page 400 pages. We cannot guarantee that Advances in Subsurface Data Analytics book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Advances in Subsurface Data Analytics

Advances in Subsurface Data Analytics
  • Author : Shuvajit Bhattacharya,Haibin Di
  • Publisher : Elsevier
  • Release : 01 March 2022
GET THIS BOOK Advances in Subsurface Data Analytics

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

Harness Oil and Gas Big Data with Analytics

Harness Oil and Gas Big Data with Analytics
  • Author : Keith R. Holdaway
  • Publisher : John Wiley & Sons
  • Release : 27 May 2014
GET THIS BOOK Harness Oil and Gas Big Data with Analytics

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

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

Future Directions for the U S  Geological Survey s Energy Resources Program
  • 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 : 04 September 2018
GET THIS BOOK Future Directions for the U S Geological Survey s Energy Resources Program

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

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making
  • Author : Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari
  • Publisher : Springer
  • Release : 05 July 2019
GET THIS BOOK Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

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

Proceedings of 3rd International Conference on Computing Informatics and Networks

Proceedings of 3rd International Conference on Computing Informatics and Networks
  • Author : Ajith Abraham,Oscar Castillo,Deepali Virmani
  • Publisher : Springer Nature
  • Release : 14 March 2021
GET THIS BOOK Proceedings of 3rd International Conference on Computing Informatics and Networks

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,

Data Analytics for Drilling Engineering

Data Analytics for Drilling Engineering
  • Author : Qilong Xue
  • Publisher : Springer Nature
  • Release : 30 December 2019
GET THIS BOOK Data Analytics for Drilling Engineering

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

Data Science for Business

Data Science for Business
  • Author : Foster Provost,Tom Fawcett
  • Publisher : "O'Reilly Media, Inc."
  • Release : 27 July 2013
GET THIS BOOK Data Science for Business

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
  • Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
  • Publisher : Springer Nature
  • Release : 11 January 2020
GET THIS BOOK Big Data Analytics for Cyber Physical System in Smart City

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

Big Data Analytics

Big Data Analytics
  • Author : Soraya Sedkaoui,Mounia Khelfaoui,Nadjat Kadi
  • Publisher : CRC Press
  • Release : 05 July 2021
GET THIS BOOK Big Data Analytics

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

Research Anthology on Big Data Analytics Architectures and Applications

Research Anthology on Big Data Analytics  Architectures  and Applications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 24 September 2021
GET THIS BOOK Research Anthology on Big Data Analytics Architectures and Applications

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,

Privacy Vulnerabilities and Data Security Challenges in the IoT

Privacy Vulnerabilities and Data Security Challenges in the IoT
  • Author : Shivani Agarwal,Sandhya Makkar,Duc-Tan Tran
  • Publisher : CRC Press
  • Release : 23 November 2020
GET THIS BOOK Privacy Vulnerabilities and Data Security Challenges in the IoT

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

Recent Advances in Technology Acceptance Models and Theories

Recent Advances in Technology Acceptance Models and Theories
  • Author : Mostafa Al-Emran,Khaled Shaalan
  • Publisher : Springer Nature
  • Release : 16 April 2021
GET THIS BOOK Recent Advances in Technology Acceptance Models and Theories

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
  • Author : Ardeshir Mahdavi,Bob Martens,Raimar Scherer
  • Publisher : CRC Press
  • Release : 21 August 2014
GET THIS BOOK eWork and eBusiness in Architecture Engineering and Construction

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,

Cloud Computing for Geospatial Big Data Analytics

Cloud Computing for Geospatial Big Data Analytics
  • Author : Himansu Das,Rabindra K. Barik,Harishchandra Dubey,Diptendu Sinha Roy
  • Publisher : Springer
  • Release : 11 December 2018
GET THIS BOOK Cloud Computing for Geospatial Big Data Analytics

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