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Proceedings Papers

Estimating Pipeline Probability of Failure Due to External Interference Damage Using Machine Learning Algorithms Trained on In-Line Inspection Data

James White, Katherine Taylor, Jonny Martin, Steven Carrell, Roland Palmer-Jones
Proc. ASME. IPC2022, Volume 1: Pipeline Safety Management Systems; Project Management, Design, Construction, and Environmental Issues; Strain-Based Design and Assessment; Risk and Reliability; Emerging Fuels and Greenhouse Gas Emissions, V001T07A009, September 26–30, 2022
Paper No: IPC2022-87093
https://doi.org/10.1115/IPC2022-87093
View Paper titled, Estimating Pipeline Probability of Failure Due to External Interference Damage Using Machine Learning Algorithms Trained on In-Line Inspection Data
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Topics: Algorithms, Damage, Failure, Inspection, Machine learning, Pipelines, Probability
Proceedings Papers

Comprehensive Pipeline Record and Inspection Data Review and Assessment in Response to Safety Advisory on Girth Weld Strain-Induced Failures

Craig Arbeau, Alasdair Clyne, Arti Bhatia, Andy Young
Proc. ASME. IPC2022, Volume 1: Pipeline Safety Management Systems; Project Management, Design, Construction, and Environmental Issues; Strain-Based Design and Assessment; Risk and Reliability; Emerging Fuels and Greenhouse Gas Emissions, V001T06A003, September 26–30, 2022
Paper No: IPC2022-87237
https://doi.org/10.1115/IPC2022-87237
View Paper titled, Comprehensive Pipeline Record and Inspection Data Review and Assessment in Response to Safety Advisory on Girth Weld Strain-Induced Failures
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Topics: Failure, Inspection, Pipelines, Safety
Proceedings Papers

Building Digital Competencies and Cultivating Innovation in an Integrity Environment

Karmun Doucette, Janine Woo
Proc. ASME. IPC2022, Volume 1: Pipeline Safety Management Systems; Project Management, Design, Construction, and Environmental Issues; Strain-Based Design and Assessment; Risk and Reliability; Emerging Fuels and Greenhouse Gas Emissions, V001T01A001, September 26–30, 2022
Paper No: IPC2022-87051
https://doi.org/10.1115/IPC2022-87051
View Paper titled, Building Digital Competencies and Cultivating Innovation in an Integrity Environment
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Topics: Competencies, Innovation, Safety, Inspection, Performance, Teams, Computer software, Ethics, Leadership, Machine learning
Proceedings Papers

Reliability Model to Predict Likelihood of Failure of Facility Auxiliary Piping Assets

Syed Haider, Millan Sen, Doug Lawrence
Proc. ASME. IPC2022, Volume 1: Pipeline Safety Management Systems; Project Management, Design, Construction, and Environmental Issues; Strain-Based Design and Assessment; Risk and Reliability; Emerging Fuels and Greenhouse Gas Emissions, V001T07A028, September 26–30, 2022
Paper No: IPC2022-87276
https://doi.org/10.1115/IPC2022-87276
View Paper titled, Reliability Model to Predict Likelihood of Failure of Facility Auxiliary Piping Assets
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Topics: Failure, Pipes, Reliability, Inspection, Fittings, Flanges, Flow (Dynamics), Leakage, Architecture, Corrosion
Proceedings Papers

Advanced Reliability Analysis at Slope Crossings

Matthew Fowler, Kachi Ndubuaku, Nader Yoosef-Ghodsi
Proc. ASME. IPC2022, Volume 1: Pipeline Safety Management Systems; Project Management, Design, Construction, and Environmental Issues; Strain-Based Design and Assessment; Risk and Reliability; Emerging Fuels and Greenhouse Gas Emissions, V001T07A006, September 26–30, 2022
Paper No: IPC2022-86908
https://doi.org/10.1115/IPC2022-86908
View Paper titled, Advanced Reliability Analysis at Slope Crossings
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Topics: Computer simulation, Computer software, Deformation, Engineering simulation, Event history analysis, Experimental design, Failure, Finite element analysis, Finite element model, Geohazards
Proceedings Papers

Utilization of a Probabilistic Function to Describe the Performance of In-Line Crack Inspection Systems and a Possible Application in Hydrogen Service

Timo Moritz, Marc Baumeister, Thomas Beuker
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A041, September 26–30, 2022
Paper No: IPC2022-87668
https://doi.org/10.1115/IPC2022-87668
View Paper titled, Utilization of a Probabilistic Function to Describe the Performance of In-Line Crack Inspection Systems and a Possible Application in Hydrogen Service
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Topics: Fracture (Materials), Hydrogen, Inspection
Proceedings Papers

Explained: Ultrasonic Self-Propelled Robotic Inspection Solution for Unpiggable Dock Line

Corey Richards, Cedric Bolduc, Børge Hamnes
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A007, September 26–30, 2022
Paper No: IPC2022-86889
https://doi.org/10.1115/IPC2022-86889
View Paper titled, Explained: Ultrasonic Self-Propelled Robotic Inspection Solution for Unpiggable Dock Line
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Topics: Inspection, Robotics, Flow (Dynamics), Testing, Computers, Containment, Downtime, Modeling, Pipelines, Pipes
Proceedings Papers

Role of Axial Stress in Pipeline Integrity Management

Ken Zhang, Ron Chune, Rick Wang, Richard Kania
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A053, September 26–30, 2022
Paper No: IPC2022-87327
https://doi.org/10.1115/IPC2022-87327
View Paper titled, Role of Axial Stress in Pipeline Integrity Management
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Topics: Pipeline integrity management, Stress, Finite element analysis, Corrosion, Hoop stress, Tension, Buckling, Compressive stress, Cracking (Materials), Deformation
Proceedings Papers

Using Advanced Probability of Exceedance Methods for Defining Remediation Options

Thomas Bubenik, Benjamin Hanna, William Harper, Matt Ellinger
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A029, September 26–30, 2022
Paper No: IPC2022-87108
https://doi.org/10.1115/IPC2022-87108
View Paper titled, Using Advanced Probability of Exceedance Methods for Defining Remediation Options
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Topics: Corrosion, Inspection, Pipelines, Probability
Proceedings Papers

An Automatic Dent Assessment Tool Using Finite Element Method

Ji Bao, Shenwei Zhang, Billy Zhang, Rick Wang, Ken Zhang
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A028, September 26–30, 2022
Paper No: IPC2022-87098
https://doi.org/10.1115/IPC2022-87098
View Paper titled, An Automatic Dent Assessment Tool Using Finite Element Method
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Topics: Algorithms, Chisels, Damage, Deformation, Engines, Failure, Fatigue analysis, Fatigue life, Finite element analysis, Finite element methods
Proceedings Papers

A Case Study Applying Gouge Classification to Mechanical Damage Defects

Matt Romney, Dane Burden
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A016, September 26–30, 2022
Paper No: IPC2022-84801
https://doi.org/10.1115/IPC2022-84801
View Paper titled, A Case Study Applying Gouge Classification to Mechanical Damage Defects
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Topics: Chisels, Corrosion, Damage, Inspection
Proceedings Papers

Accounting for Undetected In-Line Inspection Features in the Risk Assessment of Axial Crack and Corrosion Threats

Mahmoud Ibrahim, Khurram Shahzad, Saheed Akonko, Smitha Koduru, Steven Bott
Proc. ASME. IPC2022, Volume 1: Pipeline Safety Management Systems; Project Management, Design, Construction, and Environmental Issues; Strain-Based Design and Assessment; Risk and Reliability; Emerging Fuels and Greenhouse Gas Emissions, V001T07A015, September 26–30, 2022
Paper No: IPC2022-87156
https://doi.org/10.1115/IPC2022-87156
View Paper titled, Accounting for Undetected In-Line Inspection Features in the Risk Assessment of Axial Crack and Corrosion Threats
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Topics: Accounting, Corrosion, Failure, Fracture (Materials), Inspection, Probability, Risk assessment
Proceedings Papers

A More Efficient Effective Area Method Algorithm for Corrosion Assessment (Faster RSTRENG)

Jason Yan, Dongliang Lu, Ian Khou, Shenwei Zhang
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A034, September 26–30, 2022
Paper No: IPC2022-87259
https://doi.org/10.1115/IPC2022-87259
View Paper titled, A More Efficient Effective Area Method Algorithm for Corrosion Assessment (Faster RSTRENG)
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Topics: Algorithms, Corrosion, Pressure, Computation, Simulation, Engineers, Inspection, Metals, Pipelines, Reliability
Proceedings Papers

Pipeline Repair Planning Using a Digital Environment to Improve Integrity Tasks

William Sharman, Phillip Sander, Owen Hall, Jonathan Martin, John Spurlock
Proc. ASME. IPC2022, Volume 1: Pipeline Safety Management Systems; Project Management, Design, Construction, and Environmental Issues; Strain-Based Design and Assessment; Risk and Reliability; Emerging Fuels and Greenhouse Gas Emissions, V001T01A005, September 26–30, 2022
Paper No: IPC2022-87094
https://doi.org/10.1115/IPC2022-87094
View Paper titled, Pipeline Repair Planning Using a Digital Environment to Improve Integrity Tasks
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Topics: Maintenance, Pipelines, Engineers, Inspection, Algorithms, Computer software, Pipeline integrity management
Proceedings Papers

Use of Inertial Measurement Unit In-Line Inspection Data to Support Code Stress Compliance and Integrity Evaluations

Jonathan Prescott, Curtis Patterson, Arfeen Najeeb
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A001, September 26–30, 2022
Paper No: IPC2022-87046
https://doi.org/10.1115/IPC2022-87046
View Paper titled, Use of Inertial Measurement Unit In-Line Inspection Data to Support Code Stress Compliance and Integrity Evaluations
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Topics: Inspection, Measurement units and standards, Pipelines, Stress, Geometry, Construction, Decision making, Degrees of freedom, Design, Finite element model
Proceedings Papers

Inline-Inspection Crack Detection for Gas Pipelines Using a Novel Technology

Magne Aanes, Michael Haas, Kenneth Kirkeng Andersen, Andreas Sørbrøden Talberg
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A065, September 26–30, 2022
Paper No: IPC2022-87663
https://doi.org/10.1115/IPC2022-87663
View Paper titled, Inline-Inspection Crack Detection for Gas Pipelines Using a Novel Technology
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Topics: Crack detection, Inspection, Pipelines, Waves
Proceedings Papers

Long Seam Characterization by Means of a Phased Array Based Inline Inspection

Victor Haro, Katja Traeumner, Christina Jung, Gerhard Kopp, M. Santiago Urrea
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A064, September 26–30, 2022
Paper No: IPC2022-87416
https://doi.org/10.1115/IPC2022-87416
View Paper titled, Long Seam Characterization by Means of a Phased Array Based Inline Inspection
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Topics: Inspection
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
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
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Topics: Engineering simulation, Finite element analysis, Finite element model, Inspection, Leakage, Magnetic flux, Modeling, Resolution (Optics), Simulation
Proceedings Papers

Phased Array Shot Scenario and Shot Sequence Optimization for Crack Detection Inline Inspection Tools

Michael Haas, Henrik Witte, Gerhard Kopp, Peter Haberl
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A067, September 26–30, 2022
Paper No: IPC2022-87765
https://doi.org/10.1115/IPC2022-87765
View Paper titled, Phased Array Shot Scenario and Shot Sequence Optimization for Crack Detection Inline Inspection Tools
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Topics: Crack detection, Inspection, Optimization
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
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