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Intelligent digital oil and gas fields : concepts, collaboration, and right-time decisions / / Gustavo Carvajal, Marko Maucec, Stan Cullick
| Intelligent digital oil and gas fields : concepts, collaboration, and right-time decisions / / Gustavo Carvajal, Marko Maucec, Stan Cullick |
| Autore | Carvajal Gustavo |
| Pubbl/distr/stampa | Cambridge, Massachusetts ; ; Oxford, England : , : Gulf Professional Publishing, , 2018 |
| Descrizione fisica | 1 online resource (376 pages) : illustrations (some color), graphs |
| Disciplina | 622.33820285571 |
| Soggetto topico |
Petroleum engineering - Data processing
Petroleum engineering - Technological innovations |
| ISBN |
0-12-804747-X
0-12-804642-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910583017303321 |
Carvajal Gustavo
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| Cambridge, Massachusetts ; ; Oxford, England : , : Gulf Professional Publishing, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Petroleum production engineering / / Boyun Guo, PhD, Xinghui Liu, PhD, Xuehao Tan, PhD
| Petroleum production engineering / / Boyun Guo, PhD, Xinghui Liu, PhD, Xuehao Tan, PhD |
| Autore | Guo Boyun |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Cambridge, Massachusetts : , : Gulf Professional Publishing, an imprint of Elsevier, , [2017] |
| Descrizione fisica | 1 online resource (xl, 740 pages) : illustrations (some color) |
| Disciplina | 665.5 |
| Collana | Gale eBooks |
| Soggetto topico | Petroleum engineering - Data processing |
| ISBN | 0-12-809612-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. 1. Well productivity -- pt. 2. Surface and downhole equipment -- pt. 3. Well stimulation and workover -- pt. 4. Artificial lift methods -- pt. 5. Flow assurance. |
| Record Nr. | UNINA-9910583092903321 |
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Guo Boyun
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| Cambridge, Massachusetts : , : Gulf Professional Publishing, an imprint of Elsevier, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Petroleum production engineering [[electronic resource] ] : a computer-assisted approach / / Boyun Guo, William C. Lyons, Ali Ghalambor
| Petroleum production engineering [[electronic resource] ] : a computer-assisted approach / / Boyun Guo, William C. Lyons, Ali Ghalambor |
| Autore | Guo Boyun |
| Pubbl/distr/stampa | Burlington, MA, : Gulf Professional Pub., c2007 |
| Descrizione fisica | 1 online resource (309 p.) |
| Disciplina | 665.5 |
| Altri autori (Persone) |
LyonsWilliam C
GhalamborAli |
| Soggetto topico | Petroleum engineering - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-04898-4
9786611048983 0-08-047995-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Petroleum Production Engineering; Copyright Page; Dedication Page; Contents; Preface; List of Symbols; List of Tables; List of Figures; Part I: Petroleum Production Engineering Fundamentals; Chapter 1: Petroleum Production System; 1.1 Introduction; 1.2 Reservoir; 1.3 Well; 1.4 Separator; 1.5 Pump; 1.6 Gas Compressor; 1.7 Pipelines; 1.8 Safety Control System; 1.9 Unit Systems; Summary; References; Problems; Chapter 2: Properties of Oil and Natural Gas; 2.1 Introduction; 2.2 Properties of Oil; 2.3 Properties of Natural Gas; Summary; References; Problems
Chapter 3: Reservoir Deliverability3.1 Introduction; 3.2 Flow Regimes; 3.3 Inflow Performance Relationship; 3.4 Construction of IPR Curves Using Test Points; 3.5 Composite IPR of Stratified Reservoirs; 3.6 Future IPR; Summary; References; Problems; Chapter 4: Wellbore Performance; 4.1 Introduction; 4.2 Single-Phase Liquid Flow; 4.3 Multiphase Flow in Oil Wells; 4.4 Single-Phase Gas Flow; 4.5 Mist Flow in Gas Wells; Summary; References; Problems; Chapter 5: Choke Performance; 5.1 Introduction; 5.2 Sonic and Subsonic Flow; 5.3 Single-Phase Liquid Flow; 5.4 Single-Phase Gas Flow 5.5 Multiphase FlowSummary; References; Problems; Chapter 6: Well Deliverability; 6.1 Introduction; 6.2 Nodal Analysis; 6.3 Deliverability of Multilateral Well; Summary; References; Problems; Chapter 7: Forecast of Well Production; 7.1 Introduction; 7.2 Oil Production during Transient Flow Period; 7.3 Oil Production during Pseudo-Steady Flow Period; 7.4 Gas Production during Transient Flow Period; 7.5 Gas Production during Pseudo-Steady-State Flow Period; Summary; References; Problems; Chapter 8: Production Decline Analysis; 8.1 Introduction; 8.2 Exponential Decline; 8.3 Harmonic Decline 8.4 Hyperbolic Decline8.5 Model Identification; 8.6 Determination of Model Parameters; 8.7 Illustrative Examples; Summary; References; Problems; Part II: Equipment Design and Selection; Chapter 9: Well Tubing; 9.1 Introduction; 9.2 Strength of Tubing; 9.3 Tubing Design; Summary; References; Problems; Chapter 10: Separation Systems; 10.1 Introduction; 10.2 Separation System; 10.3 Dehydration System; Summary; References; Problems; Chapter 11: Transportation Systems; 11.1 Introduction; 11.2 Pumps; 11.3 Compressors; 11.4 Pipelines; Summary; References; Problems; Part III: Artificial Lift Methods Chapter 12: Sucker Rod Pumping12.1 Introduction; 12.2 Pumping System; 12.3 Polished Rod Motion; 12.4 Load to the Pumping Unit; 12.5 Pump Deliverability and Power Requirements; 12.6 Procedure for Pumping Unit Selection; 12.7 Principles of Pump Performance Analysis; Summary; References; Problems; Chapter 13: Gas Lift; 13.1 Introduction; 13.2 Gas Lift System; 13.3 Evaluation of Gas Lift Potential; 13.4 Gas Lift Gas Compression Requirements; 13.5 Selection of Gas Lift Valves; 13.6 Special Issues in Intermittent-Flow Gas Lift; 13.7 Design of Gas Lift Installations; Summary; References; Problems Chapter 14: Other Artificial Lift Methods |
| Record Nr. | UNINA-9910457681803321 |
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Guo Boyun
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| Burlington, MA, : Gulf Professional Pub., c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Petroleum production engineering [[electronic resource] ] : a computer-assisted approach / / Boyun Guo, William C. Lyons, Ali Ghalambor
| Petroleum production engineering [[electronic resource] ] : a computer-assisted approach / / Boyun Guo, William C. Lyons, Ali Ghalambor |
| Autore | Guo Boyun |
| Pubbl/distr/stampa | Burlington, MA, : Gulf Professional Pub., c2007 |
| Descrizione fisica | 1 online resource (309 p.) |
| Disciplina | 665.5 |
| Altri autori (Persone) |
LyonsWilliam C
GhalamborAli |
| Soggetto topico | Petroleum engineering - Data processing |
| ISBN |
1-281-04898-4
9786611048983 0-08-047995-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Petroleum Production Engineering; Copyright Page; Dedication Page; Contents; Preface; List of Symbols; List of Tables; List of Figures; Part I: Petroleum Production Engineering Fundamentals; Chapter 1: Petroleum Production System; 1.1 Introduction; 1.2 Reservoir; 1.3 Well; 1.4 Separator; 1.5 Pump; 1.6 Gas Compressor; 1.7 Pipelines; 1.8 Safety Control System; 1.9 Unit Systems; Summary; References; Problems; Chapter 2: Properties of Oil and Natural Gas; 2.1 Introduction; 2.2 Properties of Oil; 2.3 Properties of Natural Gas; Summary; References; Problems
Chapter 3: Reservoir Deliverability3.1 Introduction; 3.2 Flow Regimes; 3.3 Inflow Performance Relationship; 3.4 Construction of IPR Curves Using Test Points; 3.5 Composite IPR of Stratified Reservoirs; 3.6 Future IPR; Summary; References; Problems; Chapter 4: Wellbore Performance; 4.1 Introduction; 4.2 Single-Phase Liquid Flow; 4.3 Multiphase Flow in Oil Wells; 4.4 Single-Phase Gas Flow; 4.5 Mist Flow in Gas Wells; Summary; References; Problems; Chapter 5: Choke Performance; 5.1 Introduction; 5.2 Sonic and Subsonic Flow; 5.3 Single-Phase Liquid Flow; 5.4 Single-Phase Gas Flow 5.5 Multiphase FlowSummary; References; Problems; Chapter 6: Well Deliverability; 6.1 Introduction; 6.2 Nodal Analysis; 6.3 Deliverability of Multilateral Well; Summary; References; Problems; Chapter 7: Forecast of Well Production; 7.1 Introduction; 7.2 Oil Production during Transient Flow Period; 7.3 Oil Production during Pseudo-Steady Flow Period; 7.4 Gas Production during Transient Flow Period; 7.5 Gas Production during Pseudo-Steady-State Flow Period; Summary; References; Problems; Chapter 8: Production Decline Analysis; 8.1 Introduction; 8.2 Exponential Decline; 8.3 Harmonic Decline 8.4 Hyperbolic Decline8.5 Model Identification; 8.6 Determination of Model Parameters; 8.7 Illustrative Examples; Summary; References; Problems; Part II: Equipment Design and Selection; Chapter 9: Well Tubing; 9.1 Introduction; 9.2 Strength of Tubing; 9.3 Tubing Design; Summary; References; Problems; Chapter 10: Separation Systems; 10.1 Introduction; 10.2 Separation System; 10.3 Dehydration System; Summary; References; Problems; Chapter 11: Transportation Systems; 11.1 Introduction; 11.2 Pumps; 11.3 Compressors; 11.4 Pipelines; Summary; References; Problems; Part III: Artificial Lift Methods Chapter 12: Sucker Rod Pumping12.1 Introduction; 12.2 Pumping System; 12.3 Polished Rod Motion; 12.4 Load to the Pumping Unit; 12.5 Pump Deliverability and Power Requirements; 12.6 Procedure for Pumping Unit Selection; 12.7 Principles of Pump Performance Analysis; Summary; References; Problems; Chapter 13: Gas Lift; 13.1 Introduction; 13.2 Gas Lift System; 13.3 Evaluation of Gas Lift Potential; 13.4 Gas Lift Gas Compression Requirements; 13.5 Selection of Gas Lift Valves; 13.6 Special Issues in Intermittent-Flow Gas Lift; 13.7 Design of Gas Lift Installations; Summary; References; Problems Chapter 14: Other Artificial Lift Methods |
| Record Nr. | UNINA-9910784349203321 |
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Guo Boyun
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| Burlington, MA, : Gulf Professional Pub., c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Petroleum production engineering : a computer-assisted approach / / Boyun Guo, William C. Lyons, Ali Ghalambor
| Petroleum production engineering : a computer-assisted approach / / Boyun Guo, William C. Lyons, Ali Ghalambor |
| Autore | Guo Boyun |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Burlington, MA, : Gulf Professional Pub., c2007 |
| Descrizione fisica | 1 online resource (309 p.) |
| Disciplina | 665.5 |
| Altri autori (Persone) |
LyonsWilliam C
GhalamborAli |
| Soggetto topico | Petroleum engineering - Data processing |
| ISBN |
1-281-04898-4
9786611048983 0-08-047995-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Petroleum Production Engineering; Copyright Page; Dedication Page; Contents; Preface; List of Symbols; List of Tables; List of Figures; Part I: Petroleum Production Engineering Fundamentals; Chapter 1: Petroleum Production System; 1.1 Introduction; 1.2 Reservoir; 1.3 Well; 1.4 Separator; 1.5 Pump; 1.6 Gas Compressor; 1.7 Pipelines; 1.8 Safety Control System; 1.9 Unit Systems; Summary; References; Problems; Chapter 2: Properties of Oil and Natural Gas; 2.1 Introduction; 2.2 Properties of Oil; 2.3 Properties of Natural Gas; Summary; References; Problems
Chapter 3: Reservoir Deliverability3.1 Introduction; 3.2 Flow Regimes; 3.3 Inflow Performance Relationship; 3.4 Construction of IPR Curves Using Test Points; 3.5 Composite IPR of Stratified Reservoirs; 3.6 Future IPR; Summary; References; Problems; Chapter 4: Wellbore Performance; 4.1 Introduction; 4.2 Single-Phase Liquid Flow; 4.3 Multiphase Flow in Oil Wells; 4.4 Single-Phase Gas Flow; 4.5 Mist Flow in Gas Wells; Summary; References; Problems; Chapter 5: Choke Performance; 5.1 Introduction; 5.2 Sonic and Subsonic Flow; 5.3 Single-Phase Liquid Flow; 5.4 Single-Phase Gas Flow 5.5 Multiphase FlowSummary; References; Problems; Chapter 6: Well Deliverability; 6.1 Introduction; 6.2 Nodal Analysis; 6.3 Deliverability of Multilateral Well; Summary; References; Problems; Chapter 7: Forecast of Well Production; 7.1 Introduction; 7.2 Oil Production during Transient Flow Period; 7.3 Oil Production during Pseudo-Steady Flow Period; 7.4 Gas Production during Transient Flow Period; 7.5 Gas Production during Pseudo-Steady-State Flow Period; Summary; References; Problems; Chapter 8: Production Decline Analysis; 8.1 Introduction; 8.2 Exponential Decline; 8.3 Harmonic Decline 8.4 Hyperbolic Decline8.5 Model Identification; 8.6 Determination of Model Parameters; 8.7 Illustrative Examples; Summary; References; Problems; Part II: Equipment Design and Selection; Chapter 9: Well Tubing; 9.1 Introduction; 9.2 Strength of Tubing; 9.3 Tubing Design; Summary; References; Problems; Chapter 10: Separation Systems; 10.1 Introduction; 10.2 Separation System; 10.3 Dehydration System; Summary; References; Problems; Chapter 11: Transportation Systems; 11.1 Introduction; 11.2 Pumps; 11.3 Compressors; 11.4 Pipelines; Summary; References; Problems; Part III: Artificial Lift Methods Chapter 12: Sucker Rod Pumping12.1 Introduction; 12.2 Pumping System; 12.3 Polished Rod Motion; 12.4 Load to the Pumping Unit; 12.5 Pump Deliverability and Power Requirements; 12.6 Procedure for Pumping Unit Selection; 12.7 Principles of Pump Performance Analysis; Summary; References; Problems; Chapter 13: Gas Lift; 13.1 Introduction; 13.2 Gas Lift System; 13.3 Evaluation of Gas Lift Potential; 13.4 Gas Lift Gas Compression Requirements; 13.5 Selection of Gas Lift Valves; 13.6 Special Issues in Intermittent-Flow Gas Lift; 13.7 Design of Gas Lift Installations; Summary; References; Problems Chapter 14: Other Artificial Lift Methods |
| Record Nr. | UNINA-9910817835003321 |
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Guo Boyun
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| Burlington, MA, : Gulf Professional Pub., c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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]
| 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 |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2024] |
| Descrizione fisica | 1 online resource (513 pages) |
| Disciplina | 060 |
| Collana | IEEE Press Series on Power and Energy Systems Series |
| Soggetto topico |
Artificial intelligence - Industrial applications
Oil fields - Data processing Petroleum engineering - Data processing |
| ISBN |
1-119-98559-5
1-119-98561-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNINA-9910830287903321 |
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Raj Pethuru
|
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| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2024] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
