{"product_id":"the-power-of-artificial-intelligence-for-the-next-generation-oil-and-gas-industry-isbn-9781119985587","title":"The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry","description":"\u003cb\u003eThe Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry\u003c\/b\u003e \u003cp\u003e\u003cb\u003eComprehensive resource describing how operations, outputs, and offerings of the oil and gas industry can improve via advancements in AI\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eThe Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry\u003c\/i\u003e 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.  \u003c\/p\u003e\u003cp\u003eThe 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.  \u003c\/p\u003e\u003cp\u003eThe 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. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eThe Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry\u003c\/i\u003e includes information on: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHow various machine and deep learning (ML\/DL) algorithms, the prime modules of AI, empower AI systems to deliver on their promises and potential\u003c\/li\u003e \u003cli\u003eKey use cases of computer vision (CV) and natural language processing (NLP) as they relate to the oil and gas industry\u003c\/li\u003e \u003cli\u003eSmart leverage of AI, the Industrial Internet of Things (IIoT), cyber physical systems, and 5G communication\u003c\/li\u003e \u003cli\u003eEvent-driven architecture (EDA), microservices architecture (MSA), blockchain for data and device security, and digital twins\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eClearly expounding how the power of AI and other allied technologies can be meticulously leveraged by the oil and gas industry, \u003ci\u003eThe Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry\u003c\/i\u003e is an essential resource for students, scholars, IT professionals, and business leaders in many different intersecting fields. \u003c\/p\u003e\u003cp\u003eAbout the Authors xxiii\u003c\/p\u003e \u003cp\u003eForeword xxv\u003c\/p\u003e \u003cp\u003ePreface xxvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 A Perspective of the Oil and Gas Industry 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Exploration and Production 2\u003c\/p\u003e \u003cp\u003e1.2 Midstream Transportation 4\u003c\/p\u003e \u003cp\u003e1.3 Downstream–Refining and Marketing 6\u003c\/p\u003e \u003cp\u003e1.4 Meaning of Different Terms of Products Produced by the Oil and Gas Industry 7\u003c\/p\u003e \u003cp\u003e1.5 Oil and Gas Pricing 16\u003c\/p\u003e \u003cp\u003e1.6 A Note on Renewable Energy Sources 17\u003c\/p\u003e \u003cp\u003e1.7 Environmental Impact 20\u003c\/p\u003e \u003cp\u003e1.8 Uses of Hydrogen 20\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Artificial Intelligence (AI) for the Future of the Oil and Gas (O\u0026amp;G) Industry 23\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 23\u003c\/p\u003e \u003cp\u003e2.2 The Emergence of Digitization Technologies and Tools 24\u003c\/p\u003e \u003cp\u003e2.3 Demystifying Digitalization Technologies and Tools 25\u003c\/p\u003e \u003cp\u003e2.4 Briefing the Potentials of Artificial Intelligence (AI) 25\u003c\/p\u003e \u003cp\u003e2.5 AI for the Oil and Gas (O\u0026amp;G) Industry 27\u003c\/p\u003e \u003cp\u003e2.6 Computer Vision (CV)-Enabled Use Cases 34\u003c\/p\u003e \u003cp\u003e2.7 Natural Language Processing (NLP) Use Cases 36\u003c\/p\u003e \u003cp\u003e2.8 Robots in the Oil and Gas Industry 36\u003c\/p\u003e \u003cp\u003e2.9 Drones in the Oil and Gas Industry 37\u003c\/p\u003e \u003cp\u003e2.10 AI Applications for the Oil and Gas (O\u0026amp;G) Industry 39\u003c\/p\u003e \u003cp\u003e2.11 Better Decision-Making Using AI 41\u003c\/p\u003e \u003cp\u003e2.12 Cloud AI vs. Edge AI for the Oil and Gas Industry 44\u003c\/p\u003e \u003cp\u003e2.13 AI Model Optimization Techniques 47\u003c\/p\u003e \u003cp\u003e2.14 Conclusion 48\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Artificial Intelligence for Sophisticated Applications in the Oil and Gas Industry 51\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 51\u003c\/p\u003e \u003cp\u003e3.2 Oil and Gas Industry 52\u003c\/p\u003e \u003cp\u003e3.3 Artificial Intelligence 54\u003c\/p\u003e \u003cp\u003e3.4 Lifecycle of Oil and Gas Industry 54\u003c\/p\u003e \u003cp\u003e3.5 Applications of AI in Oil and Gas industry 56\u003c\/p\u003e \u003cp\u003e3.6 Chatbots 56\u003c\/p\u003e \u003cp\u003e3.7 Optimized Procurement 59\u003c\/p\u003e \u003cp\u003e3.8 Drilling, Production, and Reservoir Management 61\u003c\/p\u003e \u003cp\u003e3.9 Inventory Management 62\u003c\/p\u003e \u003cp\u003e3.10 Well Monitoring 64\u003c\/p\u003e \u003cp\u003e3.11 Process Excellence and Automation 64\u003c\/p\u003e \u003cp\u003e3.12 Asset Tracking and Maintenance\/Digital Twins 65\u003c\/p\u003e \u003cp\u003e3.13 Optimizing Production and Scheduling 67\u003c\/p\u003e \u003cp\u003e3.14 Emission Tracking 68\u003c\/p\u003e \u003cp\u003e3.15 Logistics Network Optimizations 69\u003c\/p\u003e \u003cp\u003e3.16 Conclusion 70\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Demystifying the Oil and Gas Exploration and Extraction Process 73\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Process of Crude Oil Formation 73\u003c\/p\u003e \u003cp\u003e4.2 Composition of Crude Oil 74\u003c\/p\u003e \u003cp\u003e4.3 Crude Oil Classification 74\u003c\/p\u003e \u003cp\u003e4.4 Crude Oil Production Process 76\u003c\/p\u003e \u003cp\u003e4.5 Oil Exploration 77\u003c\/p\u003e \u003cp\u003e4.6 Oil Extraction 78\u003c\/p\u003e \u003cp\u003e4.7 Processing of Crude Oil 81\u003c\/p\u003e \u003cp\u003e4.8 Overview of Refining 88\u003c\/p\u003e \u003cp\u003e4.9 Marketing and Distribution of Oil and Gas 92\u003c\/p\u003e \u003cp\u003e4.10 End of Production 93\u003c\/p\u003e \u003cp\u003e4.11 Factors Influencing the Timing of Oil and Gas Exploration and Production 93\u003c\/p\u003e \u003cp\u003e4.12 Non-revenue Benefits of the Oil and Gas Industry 95\u003c\/p\u003e \u003cp\u003e4.13 Conclusion 95\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Explaining the Midstream Activities in the Oil and Gas Domain 97\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 97\u003c\/p\u003e \u003cp\u003e5.2 Role of Midstream Sector in Oil and Gas Industry 98\u003c\/p\u003e \u003cp\u003e5.3 Midstream Oil and Gas Operations 99\u003c\/p\u003e \u003cp\u003e5.4 Technological Advancements in Midstream Sector 104\u003c\/p\u003e \u003cp\u003e5.5 Midstream Sector Challenges 111\u003c\/p\u003e \u003cp\u003e5.6 Conclusion 114\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 The Significance of the Industrial Internet of Things (IIoT) for the Oil and Gas Space 117\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Overview of IIoT 117\u003c\/p\u003e \u003cp\u003e6.2 Technical Innovators of Industrial Internet 125\u003c\/p\u003e \u003cp\u003e6.3 IoT for Oil and Gas Sector 127\u003c\/p\u003e \u003cp\u003e6.4 Rebellion of IoT in the Oil and Gas Sector 132\u003c\/p\u003e \u003cp\u003e6.5 Oil and Gas Remote Monitoring Systems 136\u003c\/p\u003e \u003cp\u003e6.6 Advantages of IIOT for the Oil and Gas Industry 142\u003c\/p\u003e \u003cp\u003e6.7 Conclusion 144\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 The Power of Edge AI Technologies for Real-Time Use Cases in the Oil and Gas Domain 147\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 147\u003c\/p\u003e \u003cp\u003e7.2 Demystifying the Paradigm of Artificial Intelligence (AI) 148\u003c\/p\u003e \u003cp\u003e7.3 Describing the Phenomenon of Edge Computing 149\u003c\/p\u003e \u003cp\u003e7.4 Delineating Edge Computing Advantages 151\u003c\/p\u003e \u003cp\u003e7.5 Demarcating the Move Toward Edge AI 154\u003c\/p\u003e \u003cp\u003e7.6 Why Edge AI Gains Momentum? 155\u003c\/p\u003e \u003cp\u003e7.7 The Enablers of Edge AI 160\u003c\/p\u003e \u003cp\u003e7.8 5G-Advanced Communication 160\u003c\/p\u003e \u003cp\u003e7.9 Why Edge AI is Being Pursued with Alacrity? 164\u003c\/p\u003e \u003cp\u003e7.10 Edge AI Frameworks and Accelerators 165\u003c\/p\u003e \u003cp\u003e7.11 Conclusion 175\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 AI-Enabled Robots for Automating Oil and Gas Operations 177\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Briefing the Impending Digital Era 177\u003c\/p\u003e \u003cp\u003e8.2 Depicting the Digital Power 178\u003c\/p\u003e \u003cp\u003e8.3 Robotics: The Use Cases 181\u003c\/p\u003e \u003cp\u003e8.4 Real-Life Examples of Robotic Solutions in the Oil and Gas Industry 184\u003c\/p\u003e \u003cp\u003e8.5 The Advantages of Robotic Solutions 190\u003c\/p\u003e \u003cp\u003e8.6 The Dawn of the Internet of Robotic Things 194\u003c\/p\u003e \u003cp\u003e8.7 Conclusion 197\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 AI-Empowered Drones for Versatile Oil and Gas Use Cases 199\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 199\u003c\/p\u003e \u003cp\u003e9.2 The Upstream Process 200\u003c\/p\u003e \u003cp\u003e9.3 The Midstream Process 201\u003c\/p\u003e \u003cp\u003e9.4 The Downstream Process 202\u003c\/p\u003e \u003cp\u003e9.5 Navigation Technologies for Drones 202\u003c\/p\u003e \u003cp\u003e9.6 Drones Specialities and Successes 206\u003c\/p\u003e \u003cp\u003e9.7 The Emergence of State-of-the-Art Drones 209\u003c\/p\u003e \u003cp\u003e9.8 Drones in the Oil and Gas Industry 215\u003c\/p\u003e \u003cp\u003e9.9 AI-Enabled Drone Services 217\u003c\/p\u003e \u003cp\u003e9.10 AI Platforms for Drones 219\u003c\/p\u003e \u003cp\u003e9.11 Conclusion 222\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 The Importance of Artificial Intelligence for the Oil and Gas Industry 224\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 224\u003c\/p\u003e \u003cp\u003e10.2 Reducing Well\/Equipment Downtime 225\u003c\/p\u003e \u003cp\u003e10.3 Optimizing Production and Scheduling 228\u003c\/p\u003e \u003cp\u003e10.4 Detecting Anomalies by Enabling Automation in Assets using Robots 230\u003c\/p\u003e \u003cp\u003e10.5 Inspection and Cleanliness of Reactors, Heat Exchangers, and Its Components 233\u003c\/p\u003e \u003cp\u003e10.6 AI-Enabled Training and Safety 234\u003c\/p\u003e \u003cp\u003e10.7 Summary 234\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Illustrating the 5G Communication Capabilities for the Future of the Oil and Gas Industry 237\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction to 5G Communication 237\u003c\/p\u003e \u003cp\u003e11.2 5G Architecture 243\u003c\/p\u003e \u003cp\u003e11.3 Antennas For 5G 246\u003c\/p\u003e \u003cp\u003e11.4 5G Use Cases 247\u003c\/p\u003e \u003cp\u003e11.5 5G and Digitalization in Oil and Gas 252\u003c\/p\u003e \u003cp\u003e11.6 5G Smart Monitoring Instruments 259\u003c\/p\u003e \u003cp\u003e11.7 Conclusion 260\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Delineating the Cloud and Edge-Native Technologies for Intelligent Oil and Gas Systems 263\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 263\u003c\/p\u003e \u003cp\u003e12.2 Cloud Native Technologies – Motivation 264\u003c\/p\u003e \u003cp\u003e12.3 Containers 265\u003c\/p\u003e \u003cp\u003e12.4 Microservices 268\u003c\/p\u003e \u003cp\u003e12.5 Continuous Integration, Continuous Deployment (CI\/CD) 274\u003c\/p\u003e \u003cp\u003e12.6 Edge Computing 277\u003c\/p\u003e \u003cp\u003e12.7 Conclusion 292\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Explaining the Industrial IoT Standardization Efforts Toward Interoperability 293\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 293\u003c\/p\u003e \u003cp\u003e13.2 Different Aspects of Interoperability 293\u003c\/p\u003e \u003cp\u003e13.3 ISA95 294\u003c\/p\u003e \u003cp\u003e13.4 SCADA (Supervisory Control and Data Acquisition) 296\u003c\/p\u003e \u003cp\u003e13.5 The Choice of Network Technology 296\u003c\/p\u003e \u003cp\u003e13.6 OPAF 302\u003c\/p\u003e \u003cp\u003e13.7 OPC-UA 305\u003c\/p\u003e \u003cp\u003e13.8 DDS 310\u003c\/p\u003e \u003cp\u003e13.9 Integration with Telemetry and Big Data 311\u003c\/p\u003e \u003cp\u003e13.10 IEC Standards used in the OPAF 311\u003c\/p\u003e \u003cp\u003e13.11 RedFish 312\u003c\/p\u003e \u003cp\u003e13.12 The FieldComm Group 314\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Digital Twins for the Digitally Transformed O\u0026amp;G Industry 316\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Digital Twins (DTs) 316\u003c\/p\u003e \u003cp\u003e14.2 Digital Twins in Manufacturing 316\u003c\/p\u003e \u003cp\u003e14.3 Digital Twins in Process Efficiency 317\u003c\/p\u003e \u003cp\u003e14.4 Digital Twins and Quality Assurance 317\u003c\/p\u003e \u003cp\u003e14.5 Digital Twins and Supply Chain 317\u003c\/p\u003e \u003cp\u003e14.6 Digital Twins and Predictive Maintenance 317\u003c\/p\u003e \u003cp\u003e14.7 Industry 4.0 318\u003c\/p\u003e \u003cp\u003e14.8 Digital Twin Concept 319\u003c\/p\u003e \u003cp\u003e14.9 Standards and Interoperability 320\u003c\/p\u003e \u003cp\u003e14.10 IDTA Standard 321\u003c\/p\u003e \u003cp\u003e14.11 Digital Twin Consortium 322\u003c\/p\u003e \u003cp\u003e14.12 Digital Twin in O\u0026amp;G 322\u003c\/p\u003e \u003cp\u003e14.13 DT Complexity and Trade-offs 323\u003c\/p\u003e \u003cp\u003e14.14 Architectural Concepts 323\u003c\/p\u003e \u003cp\u003e14.15 Simulations 324\u003c\/p\u003e \u003cp\u003e14.16 Digital Twins vs. Simulations 327\u003c\/p\u003e \u003cp\u003e14.17 Digital Twin Products 328\u003c\/p\u003e \u003cp\u003e14.18 Digital Twins and Manufacturing in the Future 329\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 IoT Edge Security Methods for Secure and Safe Oil and Gas Environments 331\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 331\u003c\/p\u003e \u003cp\u003e15.2 Protecting Data 332\u003c\/p\u003e \u003cp\u003e15.3 Past Examples of Security Attacks 332\u003c\/p\u003e \u003cp\u003e15.4 Security Foundation 334\u003c\/p\u003e \u003cp\u003e15.5 Cryptographic Hash Function 337\u003c\/p\u003e \u003cp\u003e15.6 Keyed Hash Message Authentication Code 338\u003c\/p\u003e \u003cp\u003e15.7 Public Key Infrastructure (PKI) 338\u003c\/p\u003e \u003cp\u003e15.8 Digital Signatures 340\u003c\/p\u003e \u003cp\u003e15.9 Threat Analysis and Understanding Adversaries 341\u003c\/p\u003e \u003cp\u003e15.10 Trusted Computing Base 342\u003c\/p\u003e \u003cp\u003e15.11 Edge Security and RoT (Root of Trust) 342\u003c\/p\u003e \u003cp\u003e15.12 DICE – Device Identifier Composition Engine 343\u003c\/p\u003e \u003cp\u003e15.13 Boot Integrity 343\u003c\/p\u003e \u003cp\u003e15.14 Data Sanitization 345\u003c\/p\u003e \u003cp\u003e15.15 Total Memory Encryption 346\u003c\/p\u003e \u003cp\u003e15.16 Secure Device Onboarding 347\u003c\/p\u003e \u003cp\u003e15.17 Attestation 350\u003c\/p\u003e \u003cp\u003e15.18 Defense in Depth 352\u003c\/p\u003e \u003cp\u003e15.19 Zero Trust Architecture (ZTA) 354\u003c\/p\u003e \u003cp\u003e15.20 Security Hardened Edge Compute Architectures 354\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Securing the Energy Industry with AI-Powered Cybersecurity Solutions 356\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 356\u003c\/p\u003e \u003cp\u003e16.2 Energy Industry 357\u003c\/p\u003e \u003cp\u003e16.3 Present and Future of Energy Industry Supply Chain 359\u003c\/p\u003e \u003cp\u003e16.4 Cybersecurity 361\u003c\/p\u003e \u003cp\u003e16.5 Digitizing of the Energy Industry 364\u003c\/p\u003e \u003cp\u003e16.6 MITRE ATT\u0026amp;CK Framework 367\u003c\/p\u003e \u003cp\u003e16.7 CVE 368\u003c\/p\u003e \u003cp\u003e16.8 CWE 370\u003c\/p\u003e \u003cp\u003e16.9 CAPEC 370\u003c\/p\u003e \u003cp\u003e16.10 CPE 370\u003c\/p\u003e \u003cp\u003e16.11 Cybersecurity Framework 370\u003c\/p\u003e \u003cp\u003e16.12 NIST Framework 371\u003c\/p\u003e \u003cp\u003e16.13 Zero-Day Vulnerability 372\u003c\/p\u003e \u003cp\u003e16.14 Machine Learning 373\u003c\/p\u003e \u003cp\u003e16.15 Artificial Intelligence 374\u003c\/p\u003e \u003cp\u003e16.16 Fusing AI into Cybersecurity 375\u003c\/p\u003e \u003cp\u003e16.17 Threat Modeling in AI 379\u003c\/p\u003e \u003cp\u003e16.18 Incident Response 382\u003c\/p\u003e \u003cp\u003e16.19 Fire Sale Scenario 383\u003c\/p\u003e \u003cp\u003e16.20 Conclusion 384\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Explainable Artificial Intelligence (XAI) for the Trust and Transparency of the Oil and Gas Systems 387\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 387\u003c\/p\u003e \u003cp\u003e17.2 The Growing Power of Artificial Intelligence 388\u003c\/p\u003e \u003cp\u003e17.3 The Challenges and Concerns of Artificial Intelligence 390\u003c\/p\u003e \u003cp\u003e17.4 About the Need for AI Explainability 391\u003c\/p\u003e \u003cp\u003e17.5 AI Explainability: The Problem It Solves 392\u003c\/p\u003e \u003cp\u003e17.6 What is the AI Explainability Challenges? 393\u003c\/p\u003e \u003cp\u003e17.7 The Importance of Explainable AI 393\u003c\/p\u003e \u003cp\u003e17.8 The Importance of Model Interpretation 396\u003c\/p\u003e \u003cp\u003e17.9 Briefing Feature Importance Scoring Methods 401\u003c\/p\u003e \u003cp\u003e17.10 Local Interpretable Model-agnostic Explanations (LIME) 402\u003c\/p\u003e \u003cp\u003e17.11 SHAP Explainability Algorithm 404\u003c\/p\u003e \u003cp\u003e17.12 Conclusion 407\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 Blockchain for Enhanced Efficiency, Trust, and Transparency in the Oil and Gas Domain 409\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction 409\u003c\/p\u003e \u003cp\u003e18.2 The Brewing Challenges of the Oil and Gas Industry 410\u003c\/p\u003e \u003cp\u003e18.3 About the Blockchain Technology 413\u003c\/p\u003e \u003cp\u003e18.4 Blockchain-Powered Use Cases for the Oil and Gas Industry 415\u003c\/p\u003e \u003cp\u003e18.5 Blockchain for Improved Trust 416\u003c\/p\u003e \u003cp\u003e18.6 Sensor-Enabled Invoicing 417\u003c\/p\u003e \u003cp\u003e18.7 Transportation Tracing 418\u003c\/p\u003e \u003cp\u003e18.8 Data Storage and Management 419\u003c\/p\u003e \u003cp\u003e18.9 Digital Oil and Gas: Strengthening and Simplifying Supply Chain 419\u003c\/p\u003e \u003cp\u003e18.10 Commodity Trading 421\u003c\/p\u003e \u003cp\u003e18.11 Land Record Management 421\u003c\/p\u003e \u003cp\u003e18.12 Financial Reconciliation 422\u003c\/p\u003e \u003cp\u003e18.13 Oil Wells and Equipment Maintenance 423\u003c\/p\u003e \u003cp\u003e18.14 Waste Management and Recycling 423\u003c\/p\u003e \u003cp\u003e18.15 Tracking Carbon Footprint 424\u003c\/p\u003e \u003cp\u003e18.16 Improved Pipeline Inspection 424\u003c\/p\u003e \u003cp\u003e18.17 Other Miscellaneous Advantages of Blockchain 425\u003c\/p\u003e \u003cp\u003e18.18 Blockchain Challenges 425\u003c\/p\u003e \u003cp\u003e18.19 Conclusion 426\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 AI-Inspired Digital Twins for the Oil and Gas Domain 428\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e19.1 How to Ensure Certainty Using DT for AI 432\u003c\/p\u003e \u003cp\u003e19.2 Tools Needed to Develop Digital Twins 434\u003c\/p\u003e \u003cp\u003e19.3 Digital Twin Implementation Approach at a High Level 434\u003c\/p\u003e \u003cp\u003e19.4 Digital Twin of Oil and Gas Production 441\u003c\/p\u003e \u003cp\u003e19.5 Solution Approach 442\u003c\/p\u003e \u003cp\u003e19.6 Future of Digital Twins 443\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 Future Directions of Green Hydrogen and Other Fueling Sources 447\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e20.1 Introduction 447\u003c\/p\u003e \u003cp\u003e20.2 Green Hydrogen Technologies 448\u003c\/p\u003e \u003cp\u003e20.3 Current and Future Industrial Applications of Hydrogen 449\u003c\/p\u003e \u003cp\u003e20.4 The Exploitation of Hydrogen Fuel in a Future System 450\u003c\/p\u003e \u003cp\u003e20.5 Green Hydrogen: Fuel of the Future 451\u003c\/p\u003e \u003cp\u003e20.6 Extraction of Hydrogen with Diagrammatic Representation 453\u003c\/p\u003e \u003cp\u003e20.7 Hydrogen Fuel System Advantages and Disadvantages 454\u003c\/p\u003e \u003cp\u003e20.8 AI-Based Approach for Emerging Green Hydrogen Technologies for Sustainability 455\u003c\/p\u003e \u003cp\u003e20.9 Challenges of Hydrogen with AI Technologies 458\u003c\/p\u003e \u003cp\u003e20.10 The Expected Use and Forecast for Hydrogen Fuel Cells in the Future 458\u003c\/p\u003e \u003cp\u003e20.11 Conclusion 459\u003c\/p\u003e \u003cp\u003eBibliography 460\u003c\/p\u003e \u003cp\u003eIndex 461\u003c\/p\u003e  \u003cp\u003e\u003cb\u003ePethuru Raj Chelliah, PhD,\u003c\/b\u003e is the Vice President and Chief Architect at Reliance Jio Platforms Ltd. In Bangalore, India.  \u003c\/p\u003e\u003cp\u003e\u003cb\u003eVenkatraman Jayasankar\u003c\/b\u003e is the Lead Solutions Architect (Upstream) at a leading oil and gas company. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eMats Agerstam\u003c\/b\u003e is a Principal Engineer at Intel’s Network and Edge Group, Portland, Oregon, USA.  \u003c\/p\u003e\u003cp\u003e\u003cb\u003eB. Sundaravadivazhagan, PhD,\u003c\/b\u003e is a Professor with the Department of Information Technology at the University of Technology and Applied Sciences Al Mussanah, Oman.  \u003c\/p\u003e\u003cp\u003e\u003cb\u003eRobin Cyriac, PhD,\u003c\/b\u003e is a Professor with the Department of Information Technology at the University of Technology and Applied Sciences Al Mussanah, Oman.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eComprehensive resource describing how operations, outputs, and offerings of the oil and gas industry can improve via advancements in AI\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eThe Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry\u003c\/i\u003e 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.  \u003c\/p\u003e\u003cp\u003eThe 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.  \u003c\/p\u003e\u003cp\u003eThe 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. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eThe Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry\u003c\/i\u003e includes information on: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHow various machine and deep learning (ML\/DL) algorithms, the prime modules of AI, empower AI systems to deliver on their promises and potential\u003c\/li\u003e \u003cli\u003eKey use cases of computer vision (CV) and natural language processing (NLP) as they relate to the oil and gas industry\u003c\/li\u003e \u003cli\u003eSmart leverage of AI, the Industrial Internet of Things (IIoT), cyber physical systems, and 5G communication\u003c\/li\u003e \u003cli\u003eEvent-driven architecture (EDA), microservices architecture (MSA), blockchain for data and device security, and digital twins\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eClearly expounding how the power of AI and other allied technologies can be meticulously leveraged by the oil and gas industry, \u003ci\u003eThe Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry\u003c\/i\u003e is an essential resource for students, scholars, IT professionals, and business leaders in many different intersecting fields.\u003c\/p\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Default Title","offer_id":47990316728549,"sku":"NP9781119985587","price":140.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119985587.jpg?v=1761787328","url":"https:\/\/k12savings.com\/es\/products\/the-power-of-artificial-intelligence-for-the-next-generation-oil-and-gas-industry-isbn-9781119985587","provider":"K12savings","version":"1.0","type":"link"}