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Proceedings Papers

Quantifying Corrosion Patterns: A Study of Corrosion Clustering Around Elevation Valleys With a Large Inline Inspection Dataset

Anton Fadic, Michael Murray
Proc. ASME. IPC2024, Volume 2A: Pipeline and Facilities Integrity, V02AT03A004, September 23–27, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IPC2024-128203
https://doi.org/10.1115/IPC2024-128203
View Paper titled, Quantifying Corrosion Patterns: A Study of Corrosion Clustering Around Elevation Valleys With a Large Inline Inspection Dataset
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Topics: Corrosion, Inspection, Density, Pipelines, Water, Pipeline systems, Pipes, Crude oil, Fluids, Geometry
Proceedings Papers

Integrated Methodology for Dent Gouging Susceptibility Studies: A Comprehensive Analysis Incorporating In-Line Inspection Data and Field Validation

Chris Holliday, Chris Curtis
Proc. ASME. IPC2024, Volume 2B: Pipeline and Facilities Integrity, V02BT03A044, September 23–27, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IPC2024-134104
https://doi.org/10.1115/IPC2024-134104
View Paper titled, Integrated Methodology for Dent Gouging Susceptibility Studies: A Comprehensive Analysis Incorporating In-Line Inspection Data and Field Validation
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Topics: Damage, Inspection, Pipelines, Deformation, Metals, Wounds, Cracking (Materials), Failure, Fracture (Process), Pipes
Proceedings Papers

Extra-High-Resolution UTCD Solution for Small-Diameter Pipelines – Introducing Extended Depth Sizing

Abdullahi Atto, Lukas Klinge, Stefan Bauer, Thomas Beuker
Proc. ASME. IPC2024, Volume 2B: Pipeline and Facilities Integrity, V02BT03A034, September 23–27, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IPC2024-134016
https://doi.org/10.1115/IPC2024-134016
View Paper titled, Extra-High-Resolution UTCD Solution for Small-Diameter Pipelines – Introducing Extended Depth Sizing
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Topics: Pipelines, Resolution (Optics), Pipes, Inspection, Corners (Structural elements), Crack detection, Design, Echoes, Fracture (Materials), Signals
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

A Comparison of Wavelet Transform-Based and Fourier Transform-Based Denoising Methods for Strain-Based Pipeline Dent Assessments

Junxiong Lin, Wenxing Zhou
Proc. ASME. IPC2024, Volume 2B: Pipeline and Facilities Integrity, V02BT03A047, September 23–27, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IPC2024-134124
https://doi.org/10.1115/IPC2024-134124
View Paper titled, A Comparison of Wavelet Transform-Based and Fourier Transform-Based Denoising Methods for Strain-Based Pipeline Dent Assessments
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Topics: Finite element analysis, Pipelines, Wavelets, Signals, Noise (Sound), Damage, Errors, Fourier transforms, Geometry, Rocks
Proceedings Papers

Consistently Inconsistent: Lessons From Operators Comparing Multiple IMU Data Sets

Rhett Dotson, Alex Brown, Briant Jackson
Proc. ASME. IPC2024, Volume 4: Geohazards Management and Strain-Based Design and Assessment, V004T06A025, September 23–27, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IPC2024-134022
https://doi.org/10.1115/IPC2024-134022
View Paper titled, Consistently Inconsistent: Lessons From Operators Comparing Multiple IMU Data Sets
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Topics: Gages, Geohazards, Noise (Sound), Pipelines, Pipes, Signals
Proceedings Papers

A Novel Prior-Guided Hybrid VFM Framework Integrates Mechanistic and Data-Driven Approaches in Oilfields

Siheng Shen, Shangfei Song, Daqian Liu, Jing Gong, Haihao Wu, Bohui Shi, Qi Kang
Proc. ASME. IPC2024, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A018, September 23–27, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IPC2024-133755
https://doi.org/10.1115/IPC2024-133755
View Paper titled, A Novel Prior-Guided Hybrid VFM Framework Integrates Mechanistic and Data-Driven Approaches in Oilfields
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Topics: Flow (Dynamics), Oil fields, Hardware, Decision making, Deep learning, Manufacturing systems, Ocean engineering, Oil wells, Optimization, Performance
Proceedings Papers

Natural Hazards Events Identification Along the Trans Adriatic Pipeline Monitoring With Geotechnical Monitoring System

Fabien Ravet, Damien Moureaux, Theodoros Stimaratzis, Cristian Grecco, Etienne Rochat
Proc. ASME. IPC2024, Volume 4: Geohazards Management and Strain-Based Design and Assessment, V004T06A019, September 23–27, 2024
Publisher: American Society of Mechanical Engineers
Paper No: IPC2024-133985
https://doi.org/10.1115/IPC2024-133985
View Paper titled, Natural Hazards Events Identification Along the Trans Adriatic Pipeline Monitoring With Geotechnical Monitoring System
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Topics: Erosion, Geohazards, Hazards, Landslides, Monitoring systems, Pipelines, Tunnels, Cables, Optical fiber, Risk
Proceedings Papers

A Transparent ASME B31.8-Based Strain Assessment Method Using 3D Measurement of Dent Morphology

Shenwei Zhang, Billy Zhang, Rick Wang
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A057, September 26–30, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IPC2022-87168
https://doi.org/10.1115/IPC2022-87168
View Paper titled, A Transparent ASME B31.8-Based Strain Assessment Method Using 3D Measurement of Dent Morphology
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Topics: Transparency, Pipelines, Arches, Damage, Filters, Filtration, Fourier transforms, Inspection, Membranes, Noise (Sound)
Proceedings Papers

Estimating Measurement Performance With Truncated Data Sets

Jason Skow, Joseph W. Krynicki, Alex Fraser, Gustavo Gonzalez
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A026, September 26–30, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IPC2022-87060
https://doi.org/10.1115/IPC2022-87060
View Paper titled, Estimating Measurement Performance With Truncated Data Sets
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Topics: Algorithms, American Petroleum Institute, Errors, Event history analysis, Fracture (Materials), Inspection, Nondestructive evaluation, Pipeline integrity, Pipelines, Risk
Proceedings Papers

Pipeline Defect Detection and Fine-Scale Reconstruction From 3-D MFL Signal Analysis Using Object Detection and Physics-Constrained Machine Learning

W. Steven Rosenthal, Stephen Westwood, Kayte Denslow
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A060, September 26–30, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IPC2022-87313
https://doi.org/10.1115/IPC2022-87313
View Paper titled, Pipeline Defect Detection and Fine-Scale Reconstruction From 3-D MFL Signal Analysis Using Object Detection and Physics-Constrained Machine Learning
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Topics: Flaw detection, Machine learning, Physics, Pipelines, Signals
Proceedings Papers

Applying Advanced Ultrasonic In-Line Inspection Technologies to Effectively Manage Hook Cracks

Cory Wargacki, Wade Forshner, Rogelio Guajardo, Thomas Hennig
Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A037, September 28–30, 2020
Publisher: American Society of Mechanical Engineers
Paper No: IPC2020-9251
https://doi.org/10.1115/IPC2020-9251
View Paper titled, Applying Advanced Ultrasonic In-Line Inspection Technologies to Effectively Manage Hook Cracks
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Topics: Fracture (Materials), Inspection, Pipelines, Algorithms, Echoes, Computer software, Crack detection, Cracking (Materials), Fracture (Process), Manufacturing
Proceedings Papers

A Feature-Specific Probabilistic Assessment of Pipeline Defect Size From ILI MFL Signal Using Convolutional Neural Network

Jenny Jing Chen, Stephen Westwood, David Heaney
Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A068, September 28–30, 2020
Publisher: American Society of Mechanical Engineers
Paper No: IPC2020-9331
https://doi.org/10.1115/IPC2020-9331
View Paper titled, A Feature-Specific Probabilistic Assessment of Pipeline Defect Size From ILI MFL Signal Using Convolutional Neural Network
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Topics: Artificial neural networks, Corrosion, Machine learning, Pipelines, Signals
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

Improved Inspection Through Full Matrix Capture Technology

Domenico Bellistri, Jeff Vinyard, Cameron Seward
Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A047, September 28–30, 2020
Publisher: American Society of Mechanical Engineers
Paper No: IPC2020-9595
https://doi.org/10.1115/IPC2020-9595
View Paper titled, Improved Inspection Through Full Matrix Capture Technology
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Topics: Human factors, Inspection, Nondestructive evaluation, Shear waves, Probes, Signals, Artificial intelligence, Geometry, Safety, Ultrasonic imaging
Proceedings Papers

Power Spectral Density Analysis of Pipeline Pressures for Probabilistic Assessment

M. J. Rosenfeld, Benjamin Zand, Adam Steiner
Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A076, September 28–30, 2020
Publisher: American Society of Mechanical Engineers
Paper No: IPC2020-9587
https://doi.org/10.1115/IPC2020-9587
View Paper titled, Power Spectral Density Analysis of Pipeline Pressures for Probabilistic Assessment
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Topics: Pipelines, Spectral energy distribution, Pressure, Damage, Signals, Cycles, Errors, Computation, Fatigue analysis, Fatigue cracks
Proceedings Papers

Recommended Procedures for Evaluation and Synthesis of Pipelines Subject to Multiple IMU Tool Surveys

James D. Hart, Nasir Zulfiqar, Ed McClarty
Proc. ASME. IPC2020, Volume 2: Pipeline Safety Management Systems; Project Management, Design, Construction, and Environmental Issues; Strain Based Design; Risk and Reliability; Northern, Offshore, and Production Pipelines, V002T06A009, September 28–30, 2020
Publisher: American Society of Mechanical Engineers
Paper No: IPC2020-9235
https://doi.org/10.1115/IPC2020-9235
View Paper titled, Recommended Procedures for Evaluation and Synthesis of Pipelines Subject to Multiple IMU Tool Surveys
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Topics: Pipelines, Construction, Geometry, Deformation, Inspection, Overlays (Materials engineering), Accelerometers, Certainty, Instrumentation, Landslides
Proceedings Papers

Large Standoff Magnetometry As a Practical Screening and Monitoring Tool for Pipelines Subjected to Geohazards

Tianzong (David) Xu
Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A020, September 28–30, 2020
Publisher: American Society of Mechanical Engineers
Paper No: IPC2020-9584
https://doi.org/10.1115/IPC2020-9584
View Paper titled, Large Standoff Magnetometry As a Practical Screening and Monitoring Tool for Pipelines Subjected to Geohazards
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Topics: Pipelines, Stress, Magnetization, Signals, Corrosion, Fracture (Materials), Inspection, Leakage, Nondestructive evaluation, Pacific Ocean
Proceedings Papers

Time Dependence of Hydrogen Induced Cracking of X70 Pipeline Steel Under Severe and Mild Sour Service Conditions Using Ultrasonic Analysis

S. Gawor, J. B. Wiskel, D. G. Ivey, J. Liu, H. Henein
Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T05A024, September 28–30, 2020
Publisher: American Society of Mechanical Engineers
Paper No: IPC2020-9787
https://doi.org/10.1115/IPC2020-9787
View Paper titled, Time Dependence of Hydrogen Induced Cracking of X70 Pipeline Steel Under Severe and Mild Sour Service Conditions Using Ultrasonic Analysis
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Topics: Cracking (Materials), Fracture (Process), Hydrogen, Pipelines, Steel, Fracture (Materials), Hydrogen embrittlement, Testing, Corrosion, Iron and steel making
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