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IoT for Smart Operations in the Oil and Gas Industry,

Edition 1 From Upstream to Downstream

Editors: By Razin Farhan Hussain, Ali Mokhtari, Ali Ghalambor and Mohsen Amini Salehi

Publication Date: 22 Sep 2022

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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.

Key Features

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

About the author

By Razin Farhan Hussain, PhD Candidate, University of Louisiana at Lafayette, Lafayette, LA, USA; Ali Mokhtari, Researcher, High-Performance Cloud Computing (HPCC) laboratory, University of Louisiana at Lafayette. Lafayette, LA, USA; Ali Ghalambor, Formerly Professor, University of Louisiana at Lafayette, Lafayette, LA, USA and Mohsen Amini Salehi, Associate Professor, School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA

1. Introduction to Smart O&G Industry
2. Smart Upstream Sector
3. Smart Midstream of O&G Industry
4. Smart Downstream Sector of O&G Industry
5. Threats and Side-Effects of Smart Solutions in Oil and Gas Industry
6. Designing a Disaster Management System for Smart Oil Fields
7. Case Study I: Analysis of Oil Spill Detection Using Deep Neural Networks
8. Case Study II: Evaluating DNN Applications in Smart O&G Industry

ISBN: 9780323911511

Page Count: 266

Illustrations : 55 illustrations (20 in full color)

Retail Price :

9780128046425; 9780128177365; 9780128207147; 9780128219294

Oil and gas industry engineer and researcher working either in exploration, drilling, completions, production, midstream, and downstream operations