The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry : Envisaging AI-Inspired Intelligent Energy Systems and Environments / / Pethuru Raj Chelliah [and four others]

• Autore: Raj Pethuru
• Pubblicazione: Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2024]; ©2024
• Edizione: First edition.
• Descrizione fisica: 1 online resource (513 pages)
• Disciplina: 060
• Soggetto topico: Artificial intelligence - Industrial applications; Oil fields - Data processing; Petroleum engineering - Data processing
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover -- Title Page -- Copyright Page -- Contents -- About the Authors -- Foreword -- Preface -- Chapter 1 A Perspective of the Oil and Gas Industry -- 1.1 Exploration and Production -- 1.1.1 Onshore -- 1.1.2 Offshore -- 1.1.3 Hydraulic Fracturing -- 1.2 Midstream Transportation -- 1.3 Downstream - Refining and Marketing -- 1.3.1 Hydrotreating -- 1.4 Meaning of Different Terms of Products Produced by the Oil and Gas Industry -- 1.4.1 Natural Gas -- 1.4.2 Extraction -- 1.4.3 Advantages and Disadvantages -- 1.4.4 Types -- 1.4.5 Types of Natural Gas Deposits -- 1.4.6 Conventional Natural Gas Deposits -- 1.4.7 Coal Bed Methane -- 1.4.8 Shale Gas -- 1.4.9 Tight Gas -- 1.4.10 Environmental Impacts of Natural Gas -- 1.4.11 The Future of Natural Gas -- 1.4.12 CNG vs. Liquid Fuels -- 1.4.13 Unconventional Oil and Gas -- 1.5 Oil and Gas Pricing -- 1.6 A Note on Renewable Energy Sources -- 1.6.1 Biomass -- 1.6.2 Hydropower -- 1.6.3 Geothermal -- 1.6.4 Wind -- 1.6.5 A Note About Hydrogen -- 1.6.6 How is Hydrogen Produced -- 1.6.7 Production of Hydrogen -- 1.6.8 Electrolysis -- 1.6.9 Biological Processes -- 1.6.10 Converting Hydrogen to Hydrogen-Based Fuels -- 1.7 Environmental Impact -- 1.8 Uses of Hydrogen -- 1.8.1 Challenges in Using Hydrogen as a Fuel -- Bibliography -- Chapter 2 Artificial Intelligence (AI) for the Future of the Oil and Gas (O& -- G) Industry -- 2.1 Introduction -- 2.2 The Emergence of Digitization Technologies and Tools -- 2.3 Demystifying Digitalization Technologies and Tools -- 2.4 Briefing the Potentials of Artificial Intelligence (AI) -- 2.5 AI for the Oil and Gas (O& -- G) Industry -- 2.5.1 Automate and Optimize Inspection -- 2.5.2 Defect Detection and Enhance Quality Assurance -- 2.5.3 Monitoring -- 2.5.4 Reduce Production and Maintenance Costs -- 2.5.5 Accurate Decision-Making. ; 2.5.6 Improve Supply Chain and Logistics Efficiency -- 2.5.7 Geoscience Data Analytics -- 2.5.8 Predictive Models for Oil Field Development -- 2.5.9 Predictive Analytics for Reservoir Engineering -- 2.5.10 AI for Oil and Gas Production -- 2.5.11 AI in Midstream -- 2.5.12 AI in Downstream -- 2.6 Computer Vision (CV)-Enabled Use Cases -- 2.7 Natural Language Processing (NLP) Use Cases -- 2.8 Robots in the Oil and Gas Industry -- 2.9 Drones in the Oil and Gas Industry -- 2.9.1 Drones in Upstream Activities -- 2.9.2 Drones in Midstream Activities -- 2.9.3 Drones in Downstream Activities -- 2.10 AI Applications for the Oil and Gas (O& -- G) Industry -- 2.10.1 Optimizing Production and Scheduling -- 2.10.2 Asset Tracking and Maintenance Through AI-enabled Digital Twins (DT) -- 2.10.3 AI-led Cybersecurity -- 2.11 Better Decision-Making Using AI -- 2.11.1 Predictive Maintenance -- 2.11.2 Identifying Optimal Operating Condition -- 2.11.3 Well Logging -- 2.11.4 Detecting Contaminant Concentrations -- 2.11.5 Ensuring the People and Property Safety -- 2.11.6 Energy Efficiency -- 2.11.7 Equipment Inspection -- 2.12 Cloud AI vs. Edge AI for the Oil and Gas Industry -- 2.13 AI Model Optimization Techniques -- 2.14 Conclusion -- Bibliography -- Chapter 3 Artificial Intelligence for Sophisticated Applications in the Oil and Gas Industry -- 3.1 Introduction -- 3.2 Oil and Gas Industry -- 3.2.1 Upstream: Production and Exploration -- 3.2.2 Midstream: Transportation -- 3.2.3 Downstream: Refining and Marketing -- 3.3 Artificial Intelligence -- 3.4 Lifecycle of Oil and Gas Industry -- 3.4.1 Exploration -- 3.4.2 Appraisal -- 3.4.3 Development -- 3.4.4 Production -- 3.4.5 Decommissioning -- 3.5 Applications of AI in Oil and Gas industry -- 3.6 Chatbots -- 3.7 Optimized Procurement -- 3.8 Drilling, Production, and Reservoir Management -- 3.9 Inventory Management. ; 3.10 Well Monitoring -- 3.11 Process Excellence and Automation -- 3.12 Asset Tracking and Maintenance/Digital Twins -- 3.13 Optimizing Production and Scheduling -- 3.14 Emission Tracking -- 3.15 Logistics Network Optimizations -- 3.16 Conclusion -- References -- Chapter 4 Demystifying the Oil and Gas Exploration and Extraction Process -- 4.1 Process of Crude Oil Formation -- 4.2 Composition of Crude Oil -- 4.3 Crude Oil Classification -- 4.3.1 Other Types of Crude Oil -- 4.4 Crude Oil Production Process -- 4.5 Oil Exploration -- 4.6 Oil Extraction -- 4.6.1 Bringing Extracted Crude Oil to the Surface -- 4.6.2 Enhanced Oil Recovery -- 4.7 Processing of Crude Oil -- 4.7.1 Oil and Natural Gas Storage -- 4.7.2 Oil and Gas Transportation -- 4.7.3 Tanker Ships -- 4.7.4 Railcars -- 4.7.5 Tank Trucks -- 4.8 Overview of Refining -- 4.8.1 Separation/Distillation -- 4.8.2 Conversion -- 4.8.3 Enhancement -- 4.8.4 Blending/Finishing -- 4.8.5 Types of Refineries -- 4.9 Marketing and Distribution of Oil and Gas -- 4.10 End of Production -- 4.11 Factors Influencing the Timing of Oil and Gas Exploration and Production -- 4.11.1 Physical and Technical Factors -- 4.11.2 Social and Political Factors -- 4.11.3 Business Coordination Factors -- 4.12 Non-revenue Benefits of the Oil and Gas Industry -- 4.13 Conclusion -- References -- Chapter 5 Explaining the Midstream Activities in the Oil and Gas Domain -- 5.1 Introduction -- 5.2 Role of Midstream Sector in Oil and Gas Industry -- 5.3 Midstream Oil and Gas Operations -- 5.3.1 Field Processing -- 5.3.2 Storage -- 5.3.3 Transportation -- 5.4 Technological Advancements in Midstream Sector -- 5.4.1 Cloud Computing -- 5.4.2 Internet of Things -- 5.4.3 Robotics and Automation -- 5.4.4 3D Technology -- 5.4.5 Manufacturing and Execution Systems -- 5.5 Midstream Sector Challenges -- 5.5.1 Cyber-Attacks. ; 5.5.2 Environmental Considerations -- 5.5.3 Social Concerns -- 5.5.4 Regulations -- 5.6 Conclusion -- References -- Chapter 6 The Significance of the Industrial Internet of Things (IIoT) for the Oil and Gas Space -- 6.1 Overview of IIoT -- 6.1.1 Functioning of Internet of Things -- 6.1.2 IIOT Viewpoints -- 6.1.3 Benefits of IIoT -- 6.1.4 Security in IIoT -- 6.2 Technical Innovators of Industrial Internet -- 6.2.1 Industrial Control Systems (ICS) -- 6.2.2 Supervisory Control and Data Acquisition (SCADA) -- 6.3 IoT for Oil and Gas Sector -- 6.3.1 Utilizing IIoT in Oil and Gas -- 6.3.2 Excellence in Operations -- 6.3.3 Device Management -- 6.3.4 Device Connectivity -- 6.3.5 Transformation and Storage -- 6.3.6 Presentation and Action -- 6.3.7 Microsoft Azure -- 6.4 Rebellion of IoT in the Oil and Gas Sector -- 6.4.1 Improved Operational Efficiency -- 6.4.2 Optimize Inventory Levels Based on Actual Usage -- 6.4.3 Improve Stockroom Management -- 6.4.4 Return on Investment (ROI)/Revenue -- 6.4.5 Real-Time Monitoring -- 6.4.6 Removing Manual Measuring Processes -- 6.4.7 Reduction of Safety Risk -- 6.4.8 Hurdles in the Oil and Gas Sector -- 6.5 Oil and Gas Remote Monitoring Systems -- 6.5.1 Sensors -- 6.5.2 Smart Algorithms -- 6.5.3 Prognostic and Preemptive Maintenance -- 6.5.4 Robots and Drones -- 6.5.5 Smart Accessories -- 6.5.6 Wearable Watches -- 6.5.7 Wearable Glasses -- 6.5.8 Drones -- 6.5.9 Monitoring Critical Systems 24/7 -- 6.5.10 PLC Emergency Alert Notification Systems -- 6.5.11 Independent Verification -- 6.5.12 Oil and Gas Survey and Manufacturing Process -- 6.6 Advantages of IIOT for the Oil and Gas Industry -- 6.6.1 Monitoring Pipelines -- 6.6.2 Risk Mitigation -- 6.6.3 Environmental Impact -- 6.6.4 Managing Emergency Conditions -- 6.6.5 Establishing Workers Healthy and Safety -- 6.6.6 Supply Chain Management -- 6.7 Conclusion -- Bibliography. ; Chapter 7 The Power of Edge AI Technologies for Real-Time Use Cases in the Oil and Gas Domain -- 7.1 Introduction -- 7.2 Demystifying the Paradigm of Artificial Intelligence (AI) -- 7.3 Describing the Phenomenon of Edge Computing -- 7.4 Delineating Edge Computing Advantages -- 7.4.1 The Formation of Edge Device Clouds -- 7.4.2 Real-Time Computing -- 7.4.3 Real-Time Analytics -- 7.4.4 Scalable Computing -- 7.4.5 Secured Computing -- 7.4.6 Automated Analytics and Action -- 7.4.7 Reduced Costs -- 7.5 Demarcating the Move Toward Edge AI -- 7.5.1 How Edge AI Helps to Generate Better Business -- 7.6 Why Edge AI Gains Momentum? -- 7.6.1 The Growing Device Ecosystem -- 7.6.2 Federated Learning -- 7.6.3 Optimization Techniques to Run AI Models in Edge Devices -- 7.6.4 Neural Network (NN) Pruning -- 7.6.5 L2 and L1 Regularization -- 7.7 The Enablers of Edge AI -- 7.8 5G-Advanced Communication -- 7.8.1 Industrial 5G -- 7.8.2 Edge Computing -- 7.8.3 Massive Amounts of Edge Devices Data -- 7.8.4 The Emergence of Accelerators and Specialized Engines -- 7.8.5 Cyber Physical Systems (CPS) -- 7.8.6 Digital Twins (DT) -- 7.9 Why Edge AI is Being Pursued with Alacrity? -- 7.9.1 The Need for Customer Delight -- 7.9.2 Unearthing Fresh Use Cases for Edge AI Across Industrial Verticals -- 7.10 Edge AI Frameworks and Accelerators -- 7.11 Conclusion -- Bibliography -- Chapter 8 AI-Enabled Robots for Automating Oil and Gas Operations -- 8.1 Briefing the Impending Digital Era -- 8.2 Depicting the Digital Power -- 8.2.1 The Emergence of Advanced Drones -- 8.2.2 The Grandiose Arrival of the State-of-the-Art Robots -- 8.3 Robotics: The Use Cases -- 8.3.1 Upstream Oil and Gas -- 8.3.2 Midstream Oil and Gas -- 8.3.3 Downstream Oil and Gas -- 8.4 Real-Life Examples of Robotic Solutions in the Oil and Gas Industry -- 8.5 The Advantages of Robotic Solutions. ; 8.6 The Dawn of the Internet of Robotic Things.
• Sommario/riassunto: "This book describes the proven and promising digital technologies and tools available to empower the oil and gas industry to be future-ready. How the widely reported limitations of the oil and gas industry are getting nullified through the apt and adroit application of breakthrough digital technologies is explained in this book. The book also describes how the above-mentioned convergence of digital technologies helps to envision newer possibilities and opportunities to take this industry to its next level. This book on AI-inspired oil and gas industry differentiates and delivers sophisticated use cases for the various stakeholders. The book provides easy-to-understand and use information in accurately utilizing the proven technologies towards achieving the real and sustainable industry transformation."--
• Titolo autorizzato: The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry
• ISBN: 1-119-98559-5; 1-119-98561-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910830287903321
• Lo trovi qui: Univ. Federico II
• Serie: IEEE Press series on RF and microwave technology.