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Picture for Pipeline And Subsea Integrity Assessment Using Corrosion Direct Assessment And Local Area Inspection
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Pipeline And Subsea Integrity Assessment Using Corrosion Direct Assessment And Local Area Inspection

Product Number: 51321-16732-SG
Author: Y. Zheng; M. Mateer; W. J. R. Nisbet; J. Sonke; J.T. Martin; P. B. J. van de Camp
Publication Date: 2021
$20.00
Picture for Pipeline Coating Corrosion, Understanding Testing and UV Degradation of Fusion Bonded Epoxy Coatings
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Pipeline Coating Corrosion, Understanding Testing and UV Degradation of Fusion Bonded Epoxy Coatings

Product Number: 51321-16325-SG
Author: Lake H. Barrett/Robert Leggat
Publication Date: 2021
$20.00
Picture for Pipeline Predictive Analytics Through On-Line Remote Corrosion Monitoring
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Pipeline Predictive Analytics Through On-Line Remote Corrosion Monitoring

Product Number: 51319-12899-SG
Author: Ivan Stubelj
Publication Date: 2019
$20.00

Pipelines are vast and complex networks delivering fossil fuel from remote locations to gas processing facilities refineries petrochemical manufacturers and refined products all the way to end users. Pipeline operators rely on Pipeline Integrity Management (PIM) systems to conduct safe and reliable hydrocarbon transportation operations cope with local regulations maximize transportation capacity and identify integrity threats.Internal and external corrosion are leading causes of incidents in pipelines that can lead to spills explosions and increased downtime. ASME describe the threats above as time-dependent; however they are commonly assessed with methods such as in-line inspection direct assessment and hydrostatic pressure tests whose measurement interval can range from months to years providing isolated snapshots throughout the pipeline lifetime. Moreover executing these techniques requires extensive planning and execution pipelines ready to accommodate in-line inspection tools and in some instances stop hydrocarbon transportation activities.Coping with increased demand pushes operators to boost their pipeline’s utilization rate to serve their customers and communities safely and reliably. In consequence PIM systems will require more data to constantly monitor dynamic changes along the infrastructure (either high consequence areas or not) and leverage predictive analytics. Increasing remote corrosion monitoring locations along several pipeline segments provide continuous input to feed PIM systems with on-line data that is seamlessly integrated into the operator’s control systems and data historian minimizing human intervention.This paper will explore remote corrosion monitoring technologies and how increasing real-time insights to risk maintenance and performance can increase reliability and decrease downtime through predictive analytics.

Picture for Pitfalls And Artefacts In Corrosion Experiments With Dense Phase CO2
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Pitfalls And Artefacts In Corrosion Experiments With Dense Phase CO2

Product Number: 51321-16667-SG
Author: Bjørn Helge Morland; Gaute Svenningsen
Publication Date: 2021
$20.00
Picture for Pitting And Crevice Corrosion Resistance Of A Direct Metal Laser Sintered (DMLS) 316L Stainless Steel In Artificial Seawater
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Pitting And Crevice Corrosion Resistance Of A Direct Metal Laser Sintered (DMLS) 316L Stainless Steel In Artificial Seawater

Product Number: 51321-17006-SG
Author: Claudia Prieto; Marc Singer; David Young
Publication Date: 2021
$20.00
Picture for Pitting and Stress Corrosion Cracking Resistance of Additively Manufactured Nickel Alloy UNS N07718 in Chloride-containing Environments
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Pitting and Stress Corrosion Cracking Resistance of Additively Manufactured Nickel Alloy UNS N07718 in Chloride-containing Environments

Product Number: 51319-13359-SG
Author: Helmuth Sarmiento Klapper
Publication Date: 2019
$20.00
Picture for Pitting Corrosion Of A Ni-Cr-Fe Alloy In Chloride And Thiosulfate Solutions: One-Dimensional Artificial Pit Electrode Studies
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Pitting Corrosion Of A Ni-Cr-Fe Alloy In Chloride And Thiosulfate Solutions: One-Dimensional Artificial Pit Electrode Studies

Product Number: 51321-16523-SG
Author: Abraham A. Becerra Araneda/ Mariano A. Kappes/ Martín A. Rodríguez/ Ricardo M. Carranza
Publication Date: 2021
$20.00
Picture for Plant Applications of Online Corrosion Monitoring: CO? Capture Amine Plant Case Study
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Plant Applications of Online Corrosion Monitoring: CO? Capture Amine Plant Case Study

Product Number: 51315-5954-SG
ISBN: 5954 2015 CP
Author: Russell Kane
Publication Date: 2015
$20.00