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Corrosion and Reliability Assessment of Inspected Pipelines

This book provides the most up-to-date, advanced methods and tools for risk assessment of onshore pipelines. These methods and tools are based primarily on information collected from ILI measurements and additional information about the soil surrounding the pipeline. The book provides a better under...

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Bibliografische gegevens
Hoofdauteurs: Amaya-Gómez, Rafael (Auteur), Bastidas-Arteaga, Emilio (Auteur), Sánchez-Silva, Mauricio (Auteur), Schoefs, Franck (Auteur), Muñoz, Felipe (Auteur)
Coauteur: SpringerLink (Online service)
Formaat: Elektronisch E-boek
Taal:Engels
Gepubliceerd in: Cham : Springer International Publishing : Imprint: Springer, 2024.
Editie:1st ed. 2024.
Onderwerpen:
Corrosion and anti-corrosives.
Cogeneration of electric power and heat.
Fossil fuels.
Environmental protection.
Civil engineering.
Buildings > Repair and reconstruction.
Buildings > Maintenance.
Buildings > Environmental engineering.
Machinery.
Corrosion.
Fossil Fuel.
Soil and Water Protection.
Building Repair and Maintenance.
Building Physics, HVAC.
Machinery and Machine Elements.
Online toegang:https://doi.org/10.1007/978-3-031-43532-4
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Inhoudsopgave:
  • Chapter 1. Introduction
  • Part 1: Corrosion Of Onshore Pipeline
  • Chapter 2. Onshore pipeline basic context
  • Chapter 3. The problem of corrosion in pipelines
  • Chapter 4. How corroded pipelines fail and how are they modeled?
  • Part 2: Uncertainty In Corrosion Modeling
  • Chapter 5. Uncertainty in the assessment of corroded pipelines
  • Chapter 6. Spatial statistical analysis: A “blind-approach”
  • Chapter 7. Identification and modeling of new defects
  • Chapter 8. Modeling reliability for pipeline corrosion
  • Part 3: Real Case Study Application
  • Chapter 9. Case study: Description and analysis for corrosion main features
  • Chapter 10. Spatial statistical “blind-approach” results
  • Chapter 11. New defects between inspections and their spatial features
  • Chapter 12. Spatial and time-dependent reliability assessment: Identification of critical segments.

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