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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

Development of a Magnetic Eddy Current In-Line Inspection Tool

Stefanie L. Asher, Andreas Boenisch, Konrad Reber

Proc. ASME. IPC2016, Volume 1: Pipelines and Facilities Integrity, V001T03A063, September 26–30, 2016

Paper No: IPC2016-64369

DOI: https://doi.org/10.1115/IPC2016-64369

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Topics: Eddies (Fluid dynamics), Eddy currents (Electricity), Inspection, Pipelines, Pipes, Carbon steel, Sensors, Engineering prototypes, Metals, Algorithms

Proceedings Papers

Material Characterization of Pipeline Steels: Inspection Techniques Review and Potential Property Relationships

Lucinda J. Smart, Brady J. Engle, Leonard J. Bond, John MacKenzie, Greg Morris

Proc. ASME. IPC2016, Volume 3: Operations, Monitoring and Maintenance; Materials and Joining, V003T05A023, September 26–30, 2016

Paper No: IPC2016-64157

DOI: https://doi.org/10.1115/IPC2016-64157

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Topics: Inspection, Pipelines, Steel, Mechanical properties, Pipes, Pressure, Grain size, Materials properties, Ultrasonic measurement, Corrosion

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

Proceedings Papers

Detection of Crack Initiation Based on Repeat In-Line Inspection

Michael Palmer, Christopher Davies, Markus Ginten, Roland Palmer-Jones

Proc. ASME. IPC2016, Volume 1: Pipelines and Facilities Integrity, V001T03A067, September 26–30, 2016

Paper No: IPC2016-64433

DOI: https://doi.org/10.1115/IPC2016-64433

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Topics: Crack detection, Inspection, Pipelines, Fracture (Materials), Cracking (Materials), Fracture (Process), Signals, Acoustics, Corrosion, Hazards

Proceedings Papers

Detection of Crack-Related Features Within Dented Pipe Using Electromagnetic Acoustic Transduction (EMAT) Technology

Luis Torres, Geoff Vignal, Kaitlyn Korol, Jeffrey Sutherland, Stephan Tappert

Proc. ASME. IPC2016, Volume 1: Pipelines and Facilities Integrity, V001T03A059, September 26–30, 2016

Paper No: IPC2016-64216

DOI: https://doi.org/10.1115/IPC2016-64216

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Topics: Acoustics, Fracture (Materials), Pipes, Pipelines, Damage, Inspection, Coating processes, Coatings, Crack detection, Cracking (Materials)

Proceedings Papers

ILI-to-Field Data Comparisons: What Accuracy Can You Expect?

Matthew A. Ellinger, Thomas A. Bubenik, Pamela J. Moreno

Proc. ASME. IPC2016, Volume 1: Pipelines and Facilities Integrity, V001T03A032, September 26–30, 2016

Paper No: IPC2016-64526

DOI: https://doi.org/10.1115/IPC2016-64526

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Topics: Certainty, Corrosion, Failure, Inspection, Leakage, Magnetic flux, Metals, Pipelines, Pressure, Signals

Proceedings Papers

Relative Statistical Calibration of ILI Measurements

Mona Abdolrazaghi, Sherif Hassanien, Karmun Cheng

Proc. ASME. IPC2016, Volume 1: Pipelines and Facilities Integrity, V001T03A006, September 26–30, 2016

Paper No: IPC2016-64126

DOI: https://doi.org/10.1115/IPC2016-64126

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Topics: Calibration, Errors, Nondestructive evaluation, Corrosion, Uncertainty, Accuracy and precision, Fracture (Materials), Human factors, Inspection, Leakage

2 3 4

NARROW

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

Development of a Magnetic Eddy Current In-Line Inspection Tool

Material Characterization of Pipeline Steels: Inspection Techniques Review and Potential Property Relationships

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)

Detection of Crack Initiation Based on Repeat In-Line Inspection

Detection of Crack-Related Features Within Dented Pipe Using Electromagnetic Acoustic Transduction (EMAT) Technology

ILI-to-Field Data Comparisons: What Accuracy Can You Expect?

Relative Statistical Calibration of ILI Measurements

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