The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry
Envisaging AI-inspired Intelligent Energy Systems and Environments
(Sprache: Englisch)
The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry
Comprehensive resource describing how operations, outputs, and offerings of the oil and gas industry can improve via advancements in AI
The Power of...
Comprehensive resource describing how operations, outputs, and offerings of the oil and gas industry can improve via advancements in AI
The Power of...
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Klappentext zu „The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry “
The Power of Artificial Intelligence for the Next-Generation Oil and Gas IndustryComprehensive 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
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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.
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.
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Inhaltsverzeichnis zu „The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry “
About the Authors xxiiiForeword xxv
Preface xxvii
1 A Perspective of the Oil and Gas Industry 1
1.1 Exploration and Production 2
1.2 Midstream Transportation 4
1.3 Downstream-Refining and Marketing 6
1.4 Meaning of Different Terms of Products Produced by the Oil and Gas Industry 7
1.5 Oil and Gas Pricing 16
1.6 A Note on Renewable Energy Sources 17
1.7 Environmental Impact 20
1.8 Uses of Hydrogen 20
2 Artificial Intelligence (AI) for the Future of the Oil and Gas (O&G) Industry 23
2.1 Introduction 23
2.2 The Emergence of Digitization Technologies and Tools 24
2.3 Demystifying Digitalization Technologies and Tools 25
2.4 Briefing the Potentials of Artificial Intelligence (AI) 25
2.5 AI for the Oil and Gas (O&G) Industry 27
2.6 Computer Vision (CV)-Enabled Use Cases 34
2.7 Natural Language Processing (NLP) Use Cases 36
2.8 Robots in the Oil and Gas Industry 36
2.9 Drones in the Oil and Gas Industry 37
2.10 AI Applications for the Oil and Gas (O&G) Industry 39
2.11 Better Decision-Making Using AI 41
2.12 Cloud AI vs. Edge AI for the Oil and Gas Industry 44
2.13 AI Model Optimization Techniques 47
2.14 Conclusion 48
3 Artificial Intelligence for Sophisticated Applications in the Oil and Gas Industry 51
3.1 Introduction 51
3.2 Oil and Gas Industry 52
3.3 Artificial Intelligence 54
3.4 Lifecycle of Oil and Gas Industry 54
3.5 Applications of AI in Oil and Gas industry 56
3.6 Chatbots 56
3.7 Optimized Procurement 59
3.8 Drilling, Production, and Reservoir Management 61
3.9 Inventory Management 62
3.10 Well Monitoring 64
3.11 Process Excellence and Automation 64
3.12 Asset Tracking and Maintenance/Digital Twins
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3.13 Optimizing Production and Scheduling 67
3.14 Emission Tracking 68
3.15 Logistics Network Optimizations 69
3.16 Conclusion 70
4 Demystifying the Oil and Gas Exploration and Extraction Process 73
4.1 Process of Crude Oil Formation 73
4.2 Composition of Crude Oil 74
4.3 Crude Oil Classification 74
4.4 Crude Oil Production Process 76
4.5 Oil Exploration 77
4.6 Oil Extraction 78
4.7 Processing of Crude Oil 81
4.8 Overview of Refining 88
4.9 Marketing and Distribution of Oil and Gas 92
4.10 End of Production 93
4.11 Factors Influencing the Timing of Oil and Gas Exploration and Production 93
4.12 Non-revenue Benefits of the Oil and Gas Industry 95
4.13 Conclusion 95
5 Explaining the Midstream Activities in the Oil and Gas Domain 97
5.1 Introduction 97
5.2 Role of Midstream Sector in Oil and Gas Industry 98
5.3 Midstream Oil and Gas Operations 99
5.4 Technological Advancements in Midstream Sector 104
5.5 Midstream Sector Challenges 111
5.6 Conclusion 114
6 The Significance of the Industrial Internet of Things (IIoT) for the Oil and Gas Space 117
6.1 Overview of IIoT 117
6.2 Technical Innovators of Industrial Internet 125
6.3 IoT for Oil and Gas Sector 127
6.4 Rebellion of IoT in the Oil and Gas Sector 132
6.5 Oil and Gas Remote Monitoring Systems 136
6.6 Advantages of IIOT for the Oil and Gas Industry 142
6.7 Conclusion 144
7 The Power of Edge AI Technologies for Real-Time Use Cases in the Oil an
3.13 Optimizing Production and Scheduling 67
3.14 Emission Tracking 68
3.15 Logistics Network Optimizations 69
3.16 Conclusion 70
4 Demystifying the Oil and Gas Exploration and Extraction Process 73
4.1 Process of Crude Oil Formation 73
4.2 Composition of Crude Oil 74
4.3 Crude Oil Classification 74
4.4 Crude Oil Production Process 76
4.5 Oil Exploration 77
4.6 Oil Extraction 78
4.7 Processing of Crude Oil 81
4.8 Overview of Refining 88
4.9 Marketing and Distribution of Oil and Gas 92
4.10 End of Production 93
4.11 Factors Influencing the Timing of Oil and Gas Exploration and Production 93
4.12 Non-revenue Benefits of the Oil and Gas Industry 95
4.13 Conclusion 95
5 Explaining the Midstream Activities in the Oil and Gas Domain 97
5.1 Introduction 97
5.2 Role of Midstream Sector in Oil and Gas Industry 98
5.3 Midstream Oil and Gas Operations 99
5.4 Technological Advancements in Midstream Sector 104
5.5 Midstream Sector Challenges 111
5.6 Conclusion 114
6 The Significance of the Industrial Internet of Things (IIoT) for the Oil and Gas Space 117
6.1 Overview of IIoT 117
6.2 Technical Innovators of Industrial Internet 125
6.3 IoT for Oil and Gas Sector 127
6.4 Rebellion of IoT in the Oil and Gas Sector 132
6.5 Oil and Gas Remote Monitoring Systems 136
6.6 Advantages of IIOT for the Oil and Gas Industry 142
6.7 Conclusion 144
7 The Power of Edge AI Technologies for Real-Time Use Cases in the Oil an
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Autoren-Porträt von Pethuru Raj Chelliah, Venkatraman Jayasankar, Mats Agerstam, B. Sundaravadivazhagan, Robin Cyriac
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.
Bibliographische Angaben
- Autoren: Pethuru Raj Chelliah , Venkatraman Jayasankar , Mats Agerstam , B. Sundaravadivazhagan , Robin Cyriac
- 2023, 1. Auflage, 512 Seiten, Maße: 20,4 x 23,6 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 1119985587
- ISBN-13: 9781119985587
- Erscheinungsdatum: 08.12.2023
Sprache:
Englisch
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