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Proceedings Papers

Development of an Ultrasonic ILI Tool for the Assessment of Crack-Type Anomalies in Ammonia-Carrying Pipelines

Raymond Karé, Norbert Thielager, Maximillian Fischer, Colton Shannon
Proc. ASME. IPC2024, Volume 2A: Pipeline and Facilities Integrity, V02AT03A031, September 23–27, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IPC2024-133297
https://doi.org/10.1115/IPC2024-133297
View Paper titled, Development of an Ultrasonic ILI Tool for the Assessment of Crack-Type Anomalies in Ammonia-Carrying Pipelines
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Topics: Fracture (Materials), Pipelines, Stress corrosion cracking, Inspection, Deformation, Corrosion, Flow (Dynamics), Leakage, Magnetic flux, Maintenance
Proceedings Papers

The Application of Deep Learning and Computer Vision Techniques to Magnetic Flux Leakage Data to Accurately Detect and Predict Corrosion Profiles

Dustin Mattio, Scott Miller, James Rodway
Proc. ASME. IPC2024, Volume 2B: Pipeline and Facilities Integrity, V02BT03A011, September 23–27, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IPC2024-133886
https://doi.org/10.1115/IPC2024-133886
View Paper titled, The Application of Deep Learning and Computer Vision Techniques to Magnetic Flux Leakage Data to Accurately Detect and Predict Corrosion Profiles
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Topics: Computer vision, Corrosion, Deep learning, Leakage, Magnetic flux, Pipelines, Shapes, Algorithms, Architecture, Artificial neural networks
Proceedings Papers

How Does Your Technology Fit? A Guide to New ILI Technology Validation

Sylvain Cornu, Nicolas Roniger, Alex Hensley
Proc. ASME. IPC2024, Volume 2A: Pipeline and Facilities Integrity, V02AT03A011, September 23–27, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IPC2024-131806
https://doi.org/10.1115/IPC2024-131806
View Paper titled, How Does Your Technology Fit? A Guide to New ILI Technology Validation
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Topics: Biomedicine, Collaboration, Crack detection, Cracking (Materials), Deformation, Fluids, Fracture (Materials), Fracture (Process), Geohazards, Innovation
Proceedings Papers

Verification of Internal Corrosion Through ILI and Non-Destructive Testing: Lessons Learned

Stephen Westwood, Bala Ganapathy, Paul Spoering, Michael Zhou, Taras Bolgachenko
Proc. ASME. IPC2024, Volume 2A: Pipeline and Facilities Integrity, V02AT03A053, September 23–27, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IPC2024-133557
https://doi.org/10.1115/IPC2024-133557
View Paper titled, Verification of Internal Corrosion Through ILI and Non-Destructive Testing: Lessons Learned
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Topics: Corrosion, Nondestructive evaluation, Inspection, Pipelines, American Petroleum Institute, Gages, Lasers, Leakage, Magnetic flux, Pipes
Proceedings Papers

Data Fusion of Complementary Axial and Circumferential Magnetic Flux Leakage Inline Inspections and Effects on Safe Remaining Life

Xiang Peng, Kevin Siggers, Mark Wright, Johannes Palmer
Proc. ASME. IPC2024, Volume 2B: Pipeline and Facilities Integrity, V02BT03A023, September 23–27, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IPC2024-133959
https://doi.org/10.1115/IPC2024-133959
View Paper titled, Data Fusion of Complementary Axial and Circumferential Magnetic Flux Leakage Inline Inspections and Effects on Safe Remaining Life
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Topics: Data fusion, Inspection, Leakage, Magnetic flux, Metals, Pressure
Proceedings Papers

Hot Tap Coupon Drop and Drag Test

Hannah Huang, Elvis SanJuan Riverol, Joseph Saunders, Shenwei Zhang
Proc. ASME. IPC2024, Volume 2B: Pipeline and Facilities Integrity, V02BT03A014, September 23–27, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IPC2024-133909
https://doi.org/10.1115/IPC2024-133909
View Paper titled, Hot Tap Coupon Drop and Drag Test
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Topics: Drag (Fluid dynamics), Pipelines, Damage, Nondestructive evaluation, Inspection, Leakage, Magnetic flux, Pipe joints, Pipes
Proceedings Papers

Incorporating Risk-Informed Methodologies to Complement Deterministic Integrity Decision-Making in the Gas Industry

Mohamed R. Chebaro, Kai Ji, Miaad Safari, Danielle Turney, Mike R. Hildebrand
Proc. ASME. IPC2024, Volume 5: Risk and Reliability; Offshore, Upstream, and Production Pipelines; Emerging Fuels and Greenhouse Gas Emissions, V005T07A017, September 23–27, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IPC2024-133702
https://doi.org/10.1115/IPC2024-133702
View Paper titled, Incorporating Risk-Informed Methodologies to Complement Deterministic Integrity Decision-Making in the Gas Industry
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Topics: Decision making, Gas industry, Risk, Storage, Performance, Risk assessment, Uncertainty, Cities, Complex systems, Computation
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
Publisher: American Society of Mechanical Engineers
Paper No: IPC2022-87676
https://doi.org/10.1115/IPC2022-87676
View Paper titled, New Approaches in Utilizing Eddy Current Testing to Address Pipeline Inline Inspection Requirement
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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
Publisher: American Society of Mechanical Engineers
Paper No: IPC2022-88267
https://doi.org/10.1115/IPC2022-88267
View Paper titled, Challenging Inspection Methodologies and Benefits – Recommended Scenarios for UT, MFL, and Robotics
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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
Publisher: American Society of Mechanical Engineers
Paper No: IPC2022-86934
https://doi.org/10.1115/IPC2022-86934
View Paper titled, Not All Data Is Good Data: The Challenges of Using Machine Learning With ILI
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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
Publisher: American Society of Mechanical Engineers
Paper No: IPC2022-87165
https://doi.org/10.1115/IPC2022-87165
View Paper titled, Gaps in the Current Strain-Based Dent Assessment
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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
Publisher: American Society of Mechanical Engineers
Paper No: IPC2022-87272
https://doi.org/10.1115/IPC2022-87272
View Paper titled, Establishing Corrosion Growth Rates Based on MFL-C vs. MFL In-Line Inspection Run-to-Run Comparisons
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Topics: Corrosion, Inspection, Leakage, Magnetic flux, Metals, Pipelines
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
Publisher: American Society of Mechanical Engineers
Paper No: IPC2022-87194
https://doi.org/10.1115/IPC2022-87194
View Paper titled, Enhancing Results of Ultra-High-Resolution Axial Magnetic Flux Leakage (MFL-A Ultra) Inspection Data Utilizing Finite-Element Modeling (FEM) Simulations
Open the PDF for Enhancing Results of Ultra-High-Resolution Axial Magnetic Flux Leakage (MFL-A Ultra) Inspection Data Utilizing Finite-Element Modeling (FEM) Simulations in another window
Topics: Engineering simulation, Finite element analysis, Finite element model, Inspection, Leakage, Magnetic flux, Modeling, Resolution (Optics), Simulation
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
Publisher: American Society of Mechanical Engineers
Paper No: IPC2020-9361
https://doi.org/10.1115/IPC2020-9361
View Paper titled, Concerted, Computing-Intense Novel MFL Approach Ensuring Reliability and Reducing the Need for Dig Verification
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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
Publisher: American Society of Mechanical Engineers
Paper No: IPC2020-9548
https://doi.org/10.1115/IPC2020-9548
View Paper titled, Integration of Multiple ILI Technologies for Robust Understanding of Unique Anomalies on a Pipeline
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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
Publisher: American Society of Mechanical Engineers
Paper No: IPC2020-9601
https://doi.org/10.1115/IPC2020-9601
View Paper titled, Pull Test Study of the MFL-A Performance Within Casings to Improve ILI-Based Corrosion Management of Cased Pipes
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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
Publisher: American Society of Mechanical Engineers
Paper No: IPC2018-78364
https://doi.org/10.1115/IPC2018-78364
View Paper titled, Pipeline Data Analytics: Enhanced Corrosion Growth Assessment Through Machine Learning
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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
Publisher: American Society of Mechanical Engineers
Paper No: IPC2018-78014
https://doi.org/10.1115/IPC2018-78014
View Paper titled, Modeling Pipeline Metal Loss Defects at Tool Speed
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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
Publisher: American Society of Mechanical Engineers
Paper No: IPC2018-78601
https://doi.org/10.1115/IPC2018-78601
View Paper titled, Achieving North American Record for Longest Intelligent Inspection of a Natural Gas Pipeline
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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
Publisher: American Society of Mechanical Engineers
Paper No: IPC2018-78770
https://doi.org/10.1115/IPC2018-78770
View Paper titled, Integration of Data From Multiple In-Line Inspection Systems to Improve Crack Detection and Characterization
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Topics: Crack detection, Inspection, Fracture (Materials), Pipelines, Cracking (Materials), Data fusion, Fracture (Process), Nondestructive evaluation, Leakage, Magnetic flux