LEADER 12283nam 2200553 450 001 9910830287903321 005 20231213075707.0 010 $a1-119-98559-5 010 $a1-119-98561-7 035 $a(MiAaPQ)EBC30977889 035 $a(Au-PeEL)EBL30977889 035 $a(EXLCZ)9929095267700041 100 $a20231213d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry $eEnvisaging AI-Inspired Intelligent Energy Systems and Environments /$fPethuru Raj Chelliah [and four others] 205 $aFirst edition. 210 1$aHoboken, New Jersey :$cJohn Wiley & Sons, Inc.,$d[2024] 210 4$d©2024 215 $a1 online resource (513 pages) 225 1 $aIEEE Press Series on Power and Energy Systems Series 311 08$aPrint version: Chelliah, Pethuru Raj The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry Newark : John Wiley & Sons, Incorporated,c2023 9781119985587 320 $aIncludes bibliographical references and index. 327 $aCover -- 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. 327 $a2.5.6 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. 327 $a3.10 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. 327 $a5.5.2 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. 327 $aChapter 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. 327 $a8.6 The Dawn of the Internet of Robotic Things. 330 $a"This book describes the proven and promising digital technologies and tools available to empower the oil and gas industry to be future-ready. How the widely reported limitations of the oil and gas industry are getting nullified through the apt and adroit application of breakthrough digital technologies is explained in this book. The book also describes how the above-mentioned convergence of digital technologies helps to envision newer possibilities and opportunities to take this industry to its next level. This book on AI-inspired oil and gas industry differentiates and delivers sophisticated use cases for the various stakeholders. The book provides easy-to-understand and use information in accurately utilizing the proven technologies towards achieving the real and sustainable industry transformation."--$cProvided by publisher. 410 0$aIEEE Press series on RF and microwave technology. 606 $aArtificial intelligence$xIndustrial applications 606 $aOil fields$xData processing 606 $aPetroleum engineering$xData processing 615 0$aArtificial intelligence$xIndustrial applications. 615 0$aOil fields$xData processing. 615 0$aPetroleum engineering$xData processing. 676 $a060 700 $aRaj$b Pethuru$0786064 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830287903321 996 $aThe Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry$94110002 997 $aUNINA LEADER 04402nam 22007215 450 001 9910298470503321 005 20230810184425.0 010 $a3-319-17780-X 024 7 $a10.1007/978-3-319-17780-9 035 $a(CKB)3710000000412259 035 $a(EBL)2095731 035 $a(SSID)ssj0001501501 035 $a(PQKBManifestationID)11830234 035 $a(PQKBTitleCode)TC0001501501 035 $a(PQKBWorkID)11447122 035 $a(PQKB)10555301 035 $a(DE-He213)978-3-319-17780-9 035 $a(MiAaPQ)EBC2095731 035 $a(PPN)186028083 035 $a(EXLCZ)993710000000412259 100 $a20150509d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGreat Divergence and Great Convergence $eA Global Perspective /$fby Leonid Grinin, Andrey Korotayev 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (261 p.) 225 1 $aInternational Perspectives on Social Policy, Administration, and Practice,$x2625-6983 300 $aDescription based upon print version of record. 311 $a3-319-17779-6 320 $aIncludes bibliographical references and index. 327 $aIntroduction. And yet the Twain Meet: Great Convergence brings the East closer to the West -- Great Divergence and the Rise of the West -- Great Convergence and the Rise of the Rest -- The Great Convergence and Globalization: How the Former Colo-nies Became the World Economic Locomotives -- Afterword. The Great Convergence and Possible Increase in Global Instability, or the World without an Absolute Leader. 330 $aThis new monograph provides a stimulating new take on hotly contested topics in world modernization and the globalizing economy. It begins by situating what is called the Great Divergence--the social/technological revolution that led European nations to outpace the early dominance of Asia--in historical context over centuries. This is contrasted with an equally powerful Great Convergence, the recent economic and technological expansion taking place in Third World nations and characterized by narrowing inequity among nations. They are seen here as two phases of an inevitable global process, centuries in the making, with the potential for both positive and negative results.   This sophisticated presentation examines:   Why the developing world is growing more rapidly than the developed world. How this development began occurring under the Western world's radar. How former colonies of major powers grew to drive the world's economy. Why so many Western economists have been slow to recognize the Great Convergence. The increasing risk of geopolitical instability. Why the world is likely to find itself without an absolute leader after the end of the American hegemony   A work of rare scope, Great Divergence and Great Convergence gives sociologists, global economists, demographers, and global historians a deeper understanding of the broader movement of social and economic history, combined with a long view of history as it is currently being made; it also offers some thrilling forecasts for global development in the forthcoming decades. 410 0$aInternational Perspectives on Social Policy, Administration, and Practice,$x2625-6983 606 $aInternational economic relations 606 $aDemography 606 $aPopulation 606 $aPopulation$xEconomic aspects 606 $aInternational Economics 606 $aPopulation and Demography 606 $aPopulation Economics 606 $aInternational Political Economy? 615 0$aInternational economic relations. 615 0$aDemography. 615 0$aPopulation. 615 0$aPopulation$xEconomic aspects. 615 14$aInternational Economics. 615 24$aPopulation and Demography. 615 24$aPopulation Economics. 615 24$aInternational Political Economy?. 676 $a304.6 676 $a330 676 $a337 676 $a339.5 700 $aGrinin$b Leonid$4aut$4http://id.loc.gov/vocabulary/relators/aut$0897774 702 $aKorotayev$b Andrey$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910298470503321 996 $aGreat Divergence and Great Convergence$92519730 997 $aUNINA