IoT for Smart Operations in the Oil and Gas Industry elaborates on how the synergy between state-of-the-art computing platforms, such as Internet of Things (IOT), cloud computing, artificial intelligence, and, in particular, modern machine learning methods, can be harnessed to serve the purpose of a more efficient oil and gas industry. The reference explores the operations performed in each sector of the industry and then introduces the computing platforms and smart technologies that can enhance the operation, lower costs, and lower carbon footprint. Safety and security content is included, in particular, cybersecurity and potential threats to smart oil and gas solutions, focusing on adversarial effects of smart solutions and problems related to the interoperability of human-machine intelligence in the context of the oil and gas industry. Detailed case studies are included throughout to learn and research for further applications. Covering the latest topics and solutions, IoT for Smart Operations in the Oil and Gas Industry delivers a much-needed reference for the engineers and managers to understand modern computing paradigms for Industry 4.0 and the oil and gas industry. - Follows a systematic and categorical taxonomy of the upstream, midstream, and downstream processes paired with cutting-edge technologies, which benefit computer scientists and engineers - Understands advanced computing technologies reducing the costs of existing operations and carbon footprint - Deeply dives into case studies that cover the entire oil and gas spectrum and explain bridges into applications

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Yes, you can access IoT for Smart Operations in the Oil and Gas Industry by Razin Farhan Hussain,Ali Mokhtari,Ali Ghalambor,Mohsen Amini Salehi in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Energy. We have over one million books available in our catalogue for you to explore.

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Gulf Professional Publishing

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eBook ISBN

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Iot For Smart Operations In The Oil And Gas Industry
Cover
Title Page
Copyright
Table of Contents
Dedication
Dedication
Biography
Preface
Chapter 1 Introduction to smart O&G industry
Chapter 2 Smart upstream sector
Chapter 3 Smart midstream of O&G industry
Chapter 4 Smart downstream sector of O&G industry
Chapter 5 Threats and side-effects of smart solutions in O&G industry
Chapter 6 Designing a disaster management system for smart oil fields
Chapter 7 Case study I: Analysis of oil spill detection using deep neural networks
Chapter 8 Case study II: Evaluating DNN applications in smart O&G industry
Bibliography
Index

About this book

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Table of contents