Pipeline Technology Journal 4/2020

4th Special Edition for the ptc - Pipeline Technology Conference

Issue 4/2020 of ptj is the last special edition for the ptc - Pipeline Technology Conference

For the fourth time the ptj will feature all papers from the Pipeline Technology Conference.

On its 88 pages this issue will discuss several topics. From key cyber-security controls for reliable pipeline operation to the improvement of system reliability through fast-track force main replacement. This issue contains 9 papers from different companies.

Release Date

October 2020

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This Journals Articles

Image	Article	Company
ptj-4-2020 Editorial	Editorial ptj 4-2020	EITEP Institute
A new parametric study based on the Proper General ized Decomposition for the evaluation of the seismic vulnerability of buried pipelines	A new parametric study based on the Proper General ized Decomposition for the evaluation of the seismic vulnerability of buried pipelines	INTEC, INCE
Adapting oil & gas infrastructures to climate change	Adapting oil & gas infrastructures to climate change	National Technical University of Athens, Geoserton Hellas SA, Exergia SA, Korros-E
Europe´s Gas Supply Network: Key projects for trenchless methods and Pipe Express®	Europe´s Gas Supply Network: Key projects for trenchless methods and Pipe Express®	Herrenknecht
Friction Stir Welding of Steel for Pipeline Fabrication	Friction Stir Welding of Steel for Pipeline Fabrication	Subsea 7 France, Stirtec GmbH
Geo Augmented Visualisation for improving safe operations of Natural Gas Pipeline Network	Geo Augmented Visualisation for improving safe operations of Natural Gas Pipeline Network	GSPL India Transco Ltd.
Key cyber-security controls for reliable pipeline operation	Key cyber-security controls for reliable pipeline operation	Siemens Energy
Large Stand-Off Magnetometry (LSM) for Buried Pipeline Inspection - Experimental study: Influence of dent depth on residual magnetic signal	Large Stand-Off Magnetometry (LSM) for Buried Pipeline Inspection - Experimental study: Influence of dent depth on residual magnetic signal	SKIPPER NDT, Institut de Physique du Globe de Strasbourg, Total Exploration & Production, Cetim
Machine Learning Approach to Distributed Acoustic Sensors (DAS) for Securing Pipelines in Urban Areas	Machine Learning Approach to Distributed Acoustic Sensors (DAS) for Securing Pipelines in Urban Areas	ASELSAN A.S
System Reliability Improved Through Fast-track Force Main Replacement	System Reliability Improved Through Fast-track Force Main Replacement	Sewer Authority Mid-Coastside, SRT Consultants