The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry: Envisaging AI-inspired Intelligent Energy Systems and Environments (IEEE Press Series on Power and Energy Systems)
Chelliah, Pethuru Raj; Jayasankar, Venkatraman; Agerstam, Mats; Sundaravadivazhagan, B.; Cyriac, Robin
Language: English
Published by Wiley-IEEE Press, 2023
Series: Book 46 of 50 - IEEE Press Series on Power and Energy Systems
- Hardcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Title
- The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry: Envisaging AI-inspired Intelligent Energy Systems and Environments (IEEE Press Series on Power and Energy Systems)
- Author
- Chelliah, Pethuru Raj; Jayasankar, Venkatraman; Agerstam, Mats; Sundaravadivazhagan, B.; Cyriac, Robin
- Publisher
- Wiley-IEEE Press
- Publication year
- 2023
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1119985587
- ISBN 13
- 9781119985587
- Item weight
- 1,068 grams
- Series
- Book 46 of 50: IEEE Press Series on Power and Energy Systems
Comprehensive resource describing how operations, outputs, and offerings of the oil and gas industry can improve via advancements in AI
The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry describes the proven and promising digital technologies and tools available to empower the oil and gas industry to be future-ready. It shows how the widely reported limitations of the oil and gas industry are being nullified through the application of breakthrough digital technologies and how the convergence of digital technologies helps create new possibilities and opportunities to take this industry to its next level.
The text demonstrates how scores of proven digital technologies, especially in AI, are useful in elegantly fulfilling complicated requirements such as process optimization, automation and orchestration, real-time data analytics, productivity improvement, employee safety, predictive maintenance, yield prediction, and accurate asset management for the oil and gas industry.
The text differentiates and delivers sophisticated use cases for the various stakeholders, providing easy-to-understand information to accurately utilize proven technologies towards achieving real and sustainable industry transformation.
The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry includes information on:
- How various machine and deep learning (ML/DL) algorithms, the prime modules of AI, empower AI systems to deliver on their promises and potential
- Key use cases of computer vision (CV) and natural language processing (NLP) as they relate to the oil and gas industry
- Smart leverage of AI, the Industrial Internet of Things (IIoT), cyber physical systems, and 5G communication
- Event-driven architecture (EDA), microservices architecture (MSA), blockchain for data and device security, and digital twins
Clearly expounding how the power of AI and other allied technologies can be meticulously leveraged by the oil and gas industry, The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry is an essential resource for students, scholars, IT professionals, and business leaders in many different intersecting fields.
"Synopsis" may belong to another edition of this title.
About the Author
Pethuru Raj Chelliah, PhD, is the Vice President and Chief Architect at Reliance Jio Platforms Ltd. In Bangalore, India.
Venkatraman Jayasankar is the Lead Solutions Architect (Upstream) at a leading oil and gas company.
Mats Agerstam is a Principal Engineer at Intel’s Network and Edge Group, Portland, Oregon, USA.
B. Sundaravadivazhagan, PhD, is a Professor with the Department of Information Technology at the University of Technology and Applied Sciences Al Mussanah, Oman.
Robin Cyriac, PhD, is a Professor with the Department of Information Technology at the University of Technology and Applied Sciences Al Mussanah, Oman.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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