Integrity Management

Title Presenter Company Country Conference Year
Above and Below: ILI-based Pipe Strain Assessment Dr. Dietbert Wortelen ROSEN Group Switzerland Pipeline Technology Conference 2023
Application of pipeline inspection using a self-propelled robot in Japan Yasuyuki Ikuno Nippon Steel Pipeline & Engineering Co. Japan Pipeline Technology Conference 2023
Capitalizing on Data As An Asset Monique Roberts PODS - Pipeline Open Data Standards Association United States Pipeline Technology Conference 2023
Changing the game of unpiggble pipeline inspection through AI and Digital Transformation of the ORCA(TM), Ultra Long-Range Acoustic Technology M Fithri Azad A Azad PETRONAS Malaysia Pipeline Technology Conference 2023
The U.S. Experience in Managing the Threat of Hard Spots Khanh Tran ROSEN Group Switzerland Pipeline Technology Conference 2023
New Approaches in Utilizing Eddy Current Testing to Address Pipeline Inline Inspection Requirement Sylvain Cornu NDT Global Germany Pipeline Technology Conference 2023
Whole Pipeline Dent Fatigue - Efficient Assessment using FEA Susannah Turner Highgrade Associates United Kingdom Pipeline Technology Conference 2023
Novel inline inspection technology for crack diagnostics in gas pipeline Dr. Magne Aanes NDT Global Germany Pipeline Technology Conference 2023
Utilization of Robotic Technology for Assessing Internal Pipeline Condition During Construction - An Optimized Inspection Approach Rakan Alshebel Saudi Aramco Saudi Arabia Pipeline Technology Conference 2023
The power to know more about pipeline anomalies Dr. Mike Kirkwood T.D. Williamson United States Pipeline Technology Conference 2023
Circular Phased Array inspection for 6 - 10 inches pipelines Ries Augustijn Intero Integrity Services Netherlands Pipeline Technology Conference 2023
Assessing the accurate topography of complex channeling corrosion by means of ultrasonic wall measurement tools. A case study and experiences Dr. Christoph Jäger NDT Global Germany Pipeline Technology Conference 2023
Anomalies in the neighborhood: exploring the feasibility of a k-nearest neighbors classifier to match anomalies reported by consecutive in-line inspections Semyon Bokhankevich T.D. Williamson United States Pipeline Technology Conference 2023
Pipeline joint identification using neural networks Dr. Michael Byington INGU Canada Pipeline Technology Conference 2023
Self-Propelling Robotic In-Line Inspection (ILI) Mohamed Ali Abdullah PETRONAS Malaysia Pipeline Technology Conference 2023