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Proceedings Papers

Enhancing Results of Ultra-High-Resolution Axial Magnetic Flux Leakage (MFL-A Ultra) Inspection Data Utilizing Finite-Element Modeling (FEM) Simulations

Edgar Schneider, Johannes Spille, Jeff Fleming, Ziad Saad, Kevin Siggers

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A033, September 26–30, 2022

Paper No: IPC2022-87194

DOI: https://doi.org/10.1115/IPC2022-87194

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Topics: Engineering simulation, Finite element analysis, Finite element model, Inspection, Leakage, Magnetic flux, Modeling, Resolution (Optics), Simulation

Proceedings Papers

New Approaches in Utilizing Eddy Current Testing to Address Pipeline Inline Inspection Requirement

Sylvain Cornu, Raymond Karé, Ahmed Sweedy, Michael Sirois

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A066, September 26–30, 2022

Paper No: IPC2022-87676

DOI: https://doi.org/10.1115/IPC2022-87676

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Topics: Eddies (Fluid dynamics), Eddy current testing, Eddy currents (Electricity), Fracture (Materials), Inspection, Pipelines, Stress, Pipes, Crack detection, Hydrogen

Proceedings Papers

Challenging Inspection Methodologies and Benefits – Recommended Scenarios for UT, MFL, and Robotics

Mick Collins, Rod Lee, Calvin Vasileff, Michael Kobelak

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A043, September 26–30, 2022

Paper No: IPC2022-88267

DOI: https://doi.org/10.1115/IPC2022-88267

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Topics: Inspection, Robotics, Pipelines, Maintenance, Sensors, Deformation, Energy storage, Lasers, Leakage, Magnetic flux

Proceedings Papers

Not All Data Is Good Data: The Challenges of Using Machine Learning With ILI

Adrian Belanger, Dane Burden, Paul Dalfonso

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A023, September 26–30, 2022

Paper No: IPC2022-86934

DOI: https://doi.org/10.1115/IPC2022-86934

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Topics: Machine learning, Nondestructive evaluation, Errors, Metals, Pipelines, Cycles, Inspection, Accuracy and precision, Dimensions, Ditches

Proceedings Papers

Gaps in the Current Strain-Based Dent Assessment

Rick Wang, Ken Zhang

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A032, September 26–30, 2022

Paper No: IPC2022-87165

DOI: https://doi.org/10.1115/IPC2022-87165

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Topics: Acoustics, Damage, Deformation, Dynamic testing (Materials), Failure, Fatigue life, Finite element analysis, Fracture (Materials), Geometry, Inspection

Proceedings Papers

Establishing Corrosion Growth Rates Based on MFL-C vs. MFL In-Line Inspection Run-to-Run Comparisons

Eric Graf, Matthew Ellinger, William Harper, Thomas Bubenik, Stacy Hickey, Pamela Moreno

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A051, September 26–30, 2022

Paper No: IPC2022-87272

DOI: https://doi.org/10.1115/IPC2022-87272

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Topics: Corrosion, Inspection, Leakage, Magnetic flux, Metals, Pipelines

Proceedings Papers

Concerted, Computing-Intense Novel MFL Approach Ensuring Reliability and Reducing the Need for Dig Verification

Johannes Palmer, Aaron Schartner, Andrey Danilov, Vincent Tse

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A069, September 28–30, 2020

Paper No: IPC2020-9361

DOI: https://doi.org/10.1115/IPC2020-9361

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Topics: Reliability, Metals, Signals, Optimization, Ambiguity, Artificial intelligence, Geometry, Leakage, Machine learning, Magnetic flux

Proceedings Papers

Integration of Multiple ILI Technologies for Robust Understanding of Unique Anomalies on a Pipeline

Taylor Shie, Andrew Lutz, Paul Taverna

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A075, September 28–30, 2020

Paper No: IPC2020-9548

DOI: https://doi.org/10.1115/IPC2020-9548

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Topics: Pipelines, Inspection, Pipes, Fracture (Materials), Deformation, Electrical resistance, Leakage, Magnetic flux, Acoustics, Chisels

Proceedings Papers

Pull Test Study of the MFL-A Performance Within Casings to Improve ILI-Based Corrosion Management of Cased Pipes

Dongliang Lu, Jennifer Klementis, Shahani Kariyawasam, Terry Huang, Ryan Sager

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A077, September 28–30, 2020

Paper No: IPC2020-9601

DOI: https://doi.org/10.1115/IPC2020-9601

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Topics: Corrosion, Pipes, Testing, Pipelines, Inspection, Metals, Annulus, Failure, Leakage, Magnetic flux

Proceedings Papers

Pipeline Data Analytics: Enhanced Corrosion Growth Assessment Through Machine Learning

Michael Smith, Stefan Cronjaeger, Navid Ershad, Randy Nickle, Matthias Peussner

Proc. ASME. IPC2018, Volume 1: Pipeline and Facilities Integrity, V001T03A048, September 24–28, 2018

Paper No: IPC2018-78364

DOI: https://doi.org/10.1115/IPC2018-78364

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Topics: Corrosion, Machine learning, Pipelines, Signals, Maintenance, Uncertainty, Engineers, Inspection, Lasers, Leakage

Proceedings Papers

Modeling Pipeline Metal Loss Defects at Tool Speed

Matthew Romney, Adrian Belanger

Proc. ASME. IPC2018, Volume 1: Pipeline and Facilities Integrity, V001T03A001, September 24–28, 2018

Paper No: IPC2018-78014

DOI: https://doi.org/10.1115/IPC2018-78014

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Topics: Metals, Modeling, Pipelines, Computer simulation, Design, Finite element analysis, Leakage, Algorithms, Corrosion, Flow (Dynamics)

Proceedings Papers

Achieving North American Record for Longest Intelligent Inspection of a Natural Gas Pipeline

Sheshi Epur, Aaron Schartner, Frank Sander

Proc. ASME. IPC2018, Volume 1: Pipeline and Facilities Integrity, V001T03A018, September 24–28, 2018

Paper No: IPC2018-78601

DOI: https://doi.org/10.1115/IPC2018-78601

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Topics: Inspection, Natural gas distribution, Pipelines, Delays, Leakage, Magnetic flux, Risk, Risk mitigation, Vehicles

Proceedings Papers

Integration of Data From Multiple In-Line Inspection Systems to Improve Crack Detection and Characterization

Mark Piazza, Justin Harkrader, Rogelio Guajardo, Thomas Henning, Miguel Urrea, Ravi Krishnamurthy, Samarth Tandon, Ming Gao

Proc. ASME. IPC2018, Volume 1: Pipeline and Facilities Integrity, V001T03A058, September 24–28, 2018

Paper No: IPC2018-78770

DOI: https://doi.org/10.1115/IPC2018-78770

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Topics: Crack detection, Inspection, Fracture (Materials), Pipelines, Cracking (Materials), Data fusion, Fracture (Process), Nondestructive evaluation, Leakage, Magnetic flux

Proceedings Papers

Operational Experiences With Axial Strain Inline Inspection Tools

Douglas Dewar, Greg Van Boven, Mohamed ElSeify, Paul Bjorn, Nick Bruce

Proc. ASME. IPC2018, Volume 1: Pipeline and Facilities Integrity, V001T03A011, September 24–28, 2018

Paper No: IPC2018-78466

DOI: https://doi.org/10.1115/IPC2018-78466

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Topics: Inspection, Pipelines, Magnetostriction, Probes, Construction, Curve fitting, Errors, Ferromagnetic materials, Landslides, Leakage

Proceedings Papers

Development of Pinhole Corrosion Management Using MFL

Guy Desjardins, Joel Falk, Vitaly Vorontsov

Proc. ASME. IPC2018, Volume 1: Pipeline and Facilities Integrity, V001T03A019, September 24–28, 2018

Paper No: IPC2018-78642

DOI: https://doi.org/10.1115/IPC2018-78642

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Topics: Corrosion, Pipelines, Uncertainty, Leakage, Metals, Computer software, Dimensions, Inspection, Magnetic flux, Modeling

Proceedings Papers

Algorithms for the Strain Based Analysis of Dented Pipelines

Chike Okoloekwe, Muntaseer Kainat, Doug Langer, Sherif Hassanien, Samer Adeeb

Proc. ASME. IPC2018, Volume 1: Pipeline and Facilities Integrity, V001T03A067, September 24–28, 2018

Paper No: IPC2018-78433

DOI: https://doi.org/10.1115/IPC2018-78433

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Topics: Algorithms, Pipelines, Noise (Sound), Signals, Low-pass filters, Analytical methods, B-splines, Corrosion, Deformation, Fracture (Materials)

Proceedings Papers

Directional Caliper Tool Development

Dylan Davis, Robert Zazuliak, Stephen Westwood

Proc. ASME. IPC2018, Volume 1: Pipeline and Facilities Integrity, V001T03A004, September 24–28, 2018

Paper No: IPC2018-78242

DOI: https://doi.org/10.1115/IPC2018-78242

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Topics: Inspection, Leakage, Magnetic flux, Natural gas distribution

Proceedings Papers

Hydrotesting and In-Line Inspection: Now and in the Future

Jerry Rau, Mike Kirkwood

Proc. ASME. IPC2016, Volume 1: Pipelines and Facilities Integrity, V001T03A055, September 26–30, 2016

Paper No: IPC2016-64105

DOI: https://doi.org/10.1115/IPC2016-64105

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Topics: Inspection, Pipelines, Pipeline integrity, Pressure, Safety, Deepwater development, Gases, Hazardous substances, Hydrostatic testing, Leakage

Proceedings Papers

New Classification Approach for Dents With Metal Loss and Corrosion Along the Seam Weld

J. Bruce Nestleroth, James Simek, Jed Ludlow

Proc. ASME. IPC2016, Volume 1: Pipelines and Facilities Integrity, V001T03A011, September 26–30, 2016

Paper No: IPC2016-64284

DOI: https://doi.org/10.1115/IPC2016-64284

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Topics: Corrosion, Metals, Inspection, Pipelines, Signals, Magnetic fields, Magnetization, Safety, Chisels, Electrical resistance

Proceedings Papers

Development of Key Performance Indicator for Management of Under Deposit Corrosion (UDC)

Alfonso Garcia, Trevor Place, Stephen Wood

Proc. ASME. IPC2016, Volume 1: Pipelines and Facilities Integrity, V001T03A029, September 26–30, 2016

Paper No: IPC2016-64501

DOI: https://doi.org/10.1115/IPC2016-64501

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Topics: Corrosion, Pipelines, Water, Particulate matter, Pipes, Bacteria, Crude oil, Flow (Dynamics), Signals, Density

2 3 4 5

NARROW

Enhancing Results of Ultra-High-Resolution Axial Magnetic Flux Leakage (MFL-A Ultra) Inspection Data Utilizing Finite-Element Modeling (FEM) Simulations

New Approaches in Utilizing Eddy Current Testing to Address Pipeline Inline Inspection Requirement

Challenging Inspection Methodologies and Benefits – Recommended Scenarios for UT, MFL, and Robotics

Not All Data Is Good Data: The Challenges of Using Machine Learning With ILI

Gaps in the Current Strain-Based Dent Assessment

Establishing Corrosion Growth Rates Based on MFL-C vs. MFL In-Line Inspection Run-to-Run Comparisons

Concerted, Computing-Intense Novel MFL Approach Ensuring Reliability and Reducing the Need for Dig Verification

Integration of Multiple ILI Technologies for Robust Understanding of Unique Anomalies on a Pipeline

Pull Test Study of the MFL-A Performance Within Casings to Improve ILI-Based Corrosion Management of Cased Pipes

Pipeline Data Analytics: Enhanced Corrosion Growth Assessment Through Machine Learning

Modeling Pipeline Metal Loss Defects at Tool Speed

Achieving North American Record for Longest Intelligent Inspection of a Natural Gas Pipeline

Integration of Data From Multiple In-Line Inspection Systems to Improve Crack Detection and Characterization

Operational Experiences With Axial Strain Inline Inspection Tools

Development of Pinhole Corrosion Management Using MFL

Algorithms for the Strain Based Analysis of Dented Pipelines

Directional Caliper Tool Development

Hydrotesting and In-Line Inspection: Now and in the Future

New Classification Approach for Dents With Metal Loss and Corrosion Along the Seam Weld

Development of Key Performance Indicator for Management of Under Deposit Corrosion (UDC)

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