| Description |
1 online resource (199 p.) |
| Contents |
Intro -- Acknowledgments -- Contents -- 1 Overview for Pipeline Scheduling -- 1.1 Pipeline Scheduling Content -- 1.1.1 Gas Pipeline Network -- 1.1.2 Oil Pipeline Network -- 1.2 Research Status -- 1.2.1 Optimization Model of Pipeline Network Scheduling -- 1.2.2 Solution Algorithms -- 1.3 Conclusion -- 1.3.1 General Situation -- 1.3.2 Future Development Directions -- References -- 2 Advanced Modeling and Algorithm for Pipeline Scheduling -- 2.1 Modeling Methods -- 2.1.1 Mathematical Programming -- 2.1.2 Generalized Disjunctive Programming (GDP) -- 2.1.3 Resource Task Network (RTN) |
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2.2 Solution Algorithms -- 2.2.1 Mathematical Programming -- 2.2.2 Heuristic Algorithm -- 2.2.3 Metaheuristic Algorithm -- 2.2.4 Dynamic Programming Algorithm -- 2.2.5 Data-Driven Algorithm -- 2.3 Conclusion -- References -- 3 Demand Side Management in Smart Pipeline Networks -- 3.1 Development of Demand Side Management -- 3.2 Methodology -- 3.2.1 Mathematical Models for Gas Networks -- 3.2.2 Pipeline Network Model -- 3.2.3 Analysis of Customer Demands -- 3.2.4 Operating Center Profit Model -- 3.2.5 Objective Functions -- 3.2.6 Intelligent Algorithm for Gas Pipeline System Management |
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3.2.7 Forecasting Model of Customer Demand -- 3.3 Case Study -- 3.4 Conclusion -- References -- 4 Life Cycle Analysis of Pipeline Networks -- 4.1 Environmental Impacts of Pipelines -- 4.2 Carbon Emission Stages of Pipeline Transport System -- 4.3 Life Cycle Analysis of Oil Pipelines -- 4.3.1 Infrastructure Construction -- 4.3.2 Pipe Operation -- 4.3.3 Fugitive Emissions -- 4.3.4 Recycle and Disposal -- 4.3.5 Impact on Soil Environment -- 4.4 Life Cycle Analysis of Gas Pipelines -- 4.4.1 Compressor Station -- 4.4.2 Maintenance -- 4.4.3 Leakage -- 4.5 Life Cycle Analysis of Pipeline Samples |
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4.5.1 Oil Pipelines -- 4.5.2 Gas Pipelines -- 4.6 Conclusion -- References -- 5 Operation Condition Monitoring for Pipeline -- 5.1 Introduction -- 5.2 Methodology -- 5.2.1 Method for Detecting Changes in Operational States -- 5.2.2 Characteristic Representation -- 5.2.3 Operational State Recognition Method -- 5.3 Case Study -- 5.3.1 Operational State Detection -- 5.3.2 Recognition of Pipeline Operational State on Single Station -- 5.4 Conclusion -- References -- 6 Operation Condition Prediction for Pipeline -- 6.1 Introduction -- 6.2 Methodology -- 6.2.1 Autoencoder -- 6.2.2 Stacked Autoencoder |
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6.3 Data Cleaning -- 6.4 Case Study -- 6.5 Conclusion -- References -- 7 Intelligent Inspection for Pipeline System -- 7.1 Inspection of Oil and Gas Pipelines -- 7.2 Mathematical Model for UAV Path Planning -- 7.2.1 Preliminaries -- 7.2.2 Objective Function -- 7.2.3 Constraints -- 7.3 Two-Stage Solution Methodology -- 7.3.1 First-Stage Solution -- 7.3.2 Second-Stage Solution -- 7.4 Case Study -- 7.5 Conclusions -- References -- 8 Probabilistic Safety Analysis in Complex Pipeline Systems -- 8.1 Evaluation of Natural Gas Pipeline Networks for Supply Reliability |
| Summary |
This book summarizes the advanced intelligent pipeline management technologies. The text discusses the main challenges of how to define and reinvent data-driven intelligent pipeline systems by studying scheduling-operation- safety management systems. Additionally, within an all-around intelligent pipeline system technology development framework, this book characterizes the scientific problems of intelligent pipeline system services among different processes, such as scheduling, demand-side management, operation condition monitoring, safety analysis, fault detection, etc. This book also introduces the existing positive and successful intelligent pipeline system projects that can be identified in the studied domain, and how can they be best applied for practical success. The text is supported by informative illustrations and case studies so that practitioners can use the book as a toolbox to improve understanding in applying the novel technologies into intelligent pipeline system management and development |
| Notes |
8.2 Mathematical Model for Reliability Evaluation |
| Bibliography |
Includes bibliographical references (page 200) |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed December 20, 2023) |
| Subject |
Pipelines.
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Pipelines -- Automatic control
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Pipelines.
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Pipelines -- Automatic control.
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| Form |
Electronic book
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| Author |
Su, Huai
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Liao, Qi
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Zhang, Haoran (College teacher)
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Zio, Enrico.
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| ISBN |
9789811998997 |
|
981199899X |
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