Improving inline inspection performance with dig feedback

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PPIM PPIM 2020
1. Verfasser: Belanger, Adrian (VerfasserIn)
Weitere Verfasser: Williamson, T. D. (VerfasserIn), Barker, Tod (VerfasserIn)
Pages:2020
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2020
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Utilization of vendor auditing for continuous improvement of ILI system performance 2020 Augustus, Karl
A review of nondestructive technologies and statics-driven approaches for estimating toughness 2020 Kiefner, John
The current progeny of inline inspection machine learning 2020 Burden, Dane
Closed form probabilistic method for conducting pipeline remaining life assessment from ILI data 2020 Nelson, Jocelyn
Pipeline GIS and mega rule part 1: material property verification and the system of record 2020 Leon, Christopher De
A validation study of computed tomography inspection technology using full-scale test articles with crack-like features 2020 Alexander, Chris
Behind closed doors; pipeline closures and traps revisited 2020 Kirkwood, Mike
Individual anomaly sizing certainty on MFL data 2020 Ginten, Markus
A risk-based approach to circumferential stress corrosion cracking 2020 Dotson, Rhett
Ready, aim, pig! 2020 Kirkwood, Mike
Detection of non-axial stresscorrosion cracking (SCC) using MFL 2020 Burden, Dane
A case study in the detection and sizing of circumferential stress corrosion cracking 2020 Hare, James
A fistful of data 2020 Martin, Jonathan
Statistical analysis of dig operations leading to productive repairs 2020 Dubuc, Jordan
Statistical methods for planning and evaluation of inspection on unpiggable pipelines 2020 Stone, Mark
A comparison between Pipers® and MFL pipeline data 2020 Shand, Zachary
Pipeline integrity management of unpiggable pipelines : a case history 2020 Gareau, Frank
A process for hydrostatic test data acquisition and validation 2020 Zunkel, Gary
A case study - benefit of pipelinespecific sizing for engineering criticality assessment 2020 Stilwell, Genevieve
Measuring fatigue crack growth rates of pipeline steels and their Implications to fatigue analysis 2020 Bradford, Jacob
Alle Artikel auflisten