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Proceedings Papers

Bayesian Failure Rate Estimation for the Reliability and Risk Assessment of Energy Pipelines

Markus Dann, Dongliang Lu, Colin Dooley, Hassan Tayyab

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, V001T07A010, September 26–30, 2022

Paper No: IPC2022-87113

DOI: https://doi.org/10.1115/IPC2022-87113

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Topics: Failure, Pipelines, Reliability, Risk assessment, Probability, Uncertainty, Risk

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

Paper No: IPC2022-87093

DOI: https://doi.org/10.1115/IPC2022-87093

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Topics: Algorithms, Damage, Failure, Inspection, Machine learning, Pipelines, Probability

Proceedings Papers

Development of an Online Calculation Tool for Safety Evaluation of Pipes Subjected to Ground Movements

Qian Zheng, Weichen Qiu, Noah Ergezinger, Yong Li, Nader Yoosef-Ghodsi, Matt Fowler, Samer Adeeb

Paper No: IPC2022-86485

DOI: https://doi.org/10.1115/IPC2022-86485

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Topics: Finite difference methods, Geohazards, Pipes, Reliability, Safety, Construction, Deflection, Deformation, Differential equations, Displacement

Proceedings Papers

Analysis of Dynamic System Risks Where Pipelines Cross Slow-Moving Landslides

Michael Porter, Joel Van Hove, Pete Barlow

Paper No: IPC2022-86982

DOI: https://doi.org/10.1115/IPC2022-86982

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Topics: Chain, Dynamic systems, Landslides, Pipelines, Probability, Displacement, Failure, Landslide risk, Life cycle costing, Simulation

Proceedings Papers

Advanced Reliability Analysis at Slope Crossings

Matthew Fowler, Kachi Ndubuaku, Nader Yoosef-Ghodsi

Paper No: IPC2022-86908

DOI: https://doi.org/10.1115/IPC2022-86908

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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

Incorporating Measurement Uncertainty Into Machine Learning-Based Grade Predictions

Joel Anderson, Nathan Switzner, Jeffrey Kornuta, Peter Veloo

Paper No: IPC2022-87347

DOI: https://doi.org/10.1115/IPC2022-87347

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Topics: Machine learning, Machinery, Measurement uncertainty, Pipes, Nondestructive evaluation, Probability, Simulation, Uncertainty, Pacific Ocean, Regulations

Proceedings Papers

Assessing Geohazard Probability of Pipeline Failure: Lessons and Improvements From the Last 10 Years

Sarah Newton, Joel Van Hove, Michael Porter, Gerald Ferris

Paper No: IPC2022-87319

DOI: https://doi.org/10.1115/IPC2022-87319

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Topics: Algorithms, Failure, Geohazards, Pipelines, Probability, Risk assessment

Proceedings Papers

Reliability Assessment of Pipeline Third Party Damage

Mahsa Mehranfar, Millan Sen, Christopher Lam, Steven Bott

Paper No: IPC2022-87232

DOI: https://doi.org/10.1115/IPC2022-87232

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Topics: Damage, Pipelines, Reliability, Probability, Failure, Density, Pipeline systems, Pipes, Roads, Statistics

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

DOI: https://doi.org/10.1115/IPC2022-87108

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Topics: Corrosion, Inspection, Pipelines, Probability

Proceedings Papers

A New GIS-Based Method to Estimate Annual Probability of Pipeline Failure Resulting From Landslides Based on Actual Failure Locations

Patricia Varela, Sam Cheng, Rodolfo Sancio, Doug Cook, Alex McKenzie-Johnson, Smitha Koduru

Paper No: IPC2022-86749

DOI: https://doi.org/10.1115/IPC2022-86749

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Topics: Failure, Landslides, Pipelines, Probability

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

Paper No: IPC2022-87156

DOI: https://doi.org/10.1115/IPC2022-87156

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Topics: Accounting, Corrosion, Failure, Fracture (Materials), Inspection, Probability, Risk assessment

Proceedings Papers

Comparison of Machine Learning Models for Quantitative Risk Modelling of Pipeline Systems

Daryl Bandstra, Juan S. Rojas, Alex Fraser, Mari Shironishi

Paper No: IPC2022-87258

DOI: https://doi.org/10.1115/IPC2022-87258

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Topics: Machine learning, Modeling, Pipeline systems, Risk, Artificial neural networks, Failure, Fittings, Industrial research, Pipelines, Pipes

Proceedings Papers

Probabilistic Analysis Applied to the Risk of SCC Failure

Scott Riccardella, Owen Malinowski, Pete Riccardella, Steve Potts, Sean Moran, Kelly Thompson, Ann Reo

Paper No: IPC2022-86906

DOI: https://doi.org/10.1115/IPC2022-86906

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Topics: Artificial neural networks, Failure, Machine learning, Risk, Probability, Algorithms, Coating processes, Coatings, Compressors, Fracture mechanics

Proceedings Papers

Advancement of Probabilistic Analysis of Seam Weld Cracking Integrity Management

Jing Ma, Kenneth E. Bagnoli, Neeraj S. Thirumalai, Joseph W. Krynicki, Zachary D. Cater-Cyker, Gus Gonzalez

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A047, September 26–30, 2022

Paper No: IPC2022-86993

DOI: https://doi.org/10.1115/IPC2022-86993

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Topics: Fracture (Process), Pipelines, Fracture toughness, Pipes, Probability, Failure, Nondestructive evaluation, Tension, American Petroleum Institute, Databases

Proceedings Papers

Risk-Based Data-Driven Optimization of Pipeline Inspection Interval

Josiah SooTot, Fernando Oviedo, Guanbo Zheng, Keng Yap

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A018, September 26–30, 2022

Paper No: IPC2022-86761

DOI: https://doi.org/10.1115/IPC2022-86761

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Topics: Failure, Inspection, Optimization, Pipelines, Probability, Risk

Proceedings Papers

Subset Simulation of Pipeline Corrosion, Crack, and Dent Defects Considering Multiple Limit States With Large-Scale Validation

Daryl Bandstra, Alex Fraser, Juan S. Rojas

Paper No: IPC2022-87255

DOI: https://doi.org/10.1115/IPC2022-87255

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Topics: Corrosion, Fracture (Materials), Pipelines, Simulation, Failure, Probability, Reliability, Cracking (Materials), Damage, Fracture (Process)

Proceedings Papers

ILI System Performance Trials for Mechanical Damage

Sanjay Tiku, Arnav Rana, Binoy John, Aaron Dinovitzer, Mark Piazza

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A062, September 26–30, 2022

Paper No: IPC2022-87344

DOI: https://doi.org/10.1115/IPC2022-87344

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Topics: Corrosion, Damage, Fracture (Materials), Inspection, Pipelines, Materials properties, Pipeline integrity management, Pipes, American Petroleum Institute, Chisels

Proceedings Papers

Development of a Hybrid of Semi-Automatic Waveform Controlled GMAW and Mechanized FCAW-G Welding Process and Associated Alternative Weld Flaw Acceptance Criteria For Pipeline Construction

Junfang Lu, Bob Huntley, Axel Aulin, Andy Duncan, Peter Schamuhn Kirk, Rory Belanger, Claude-Yve Zorrilla, Debra Tetteh-Wayoe

Proc. ASME. IPC2022, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T05A024, September 26–30, 2022

Paper No: IPC2022-86737

DOI: https://doi.org/10.1115/IPC2022-86737

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Topics: Acceptance criteria, Gas metal arc welding, Pipeline construction, Welding, Fitness-for-service, Welded joints, Construction, Inspection, Mechanical testing, Pipelines

Proceedings Papers

Improved Semi-Quantitative Reliability-Based Method for Assessment of Pipeline Dents With Stress Risers

Amandeep Singh Virk, Doug Langer, Janine Woo, Nader Yoosef-Ghodsi, Muntaseer Kainat

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A017, September 28–30, 2020

Paper No: IPC2020-9472

DOI: https://doi.org/10.1115/IPC2020-9472

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Topics: Failure, Pipeline risers, Pipelines, Probability, Reliability, Risers (Casting), Stress, Fatigue, Pressure, Containment

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

2 3 4 5

NARROW

Bayesian Failure Rate Estimation for the Reliability and Risk Assessment of Energy Pipelines

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

Development of an Online Calculation Tool for Safety Evaluation of Pipes Subjected to Ground Movements

Analysis of Dynamic System Risks Where Pipelines Cross Slow-Moving Landslides

Advanced Reliability Analysis at Slope Crossings

Incorporating Measurement Uncertainty Into Machine Learning-Based Grade Predictions

Assessing Geohazard Probability of Pipeline Failure: Lessons and Improvements From the Last 10 Years

Reliability Assessment of Pipeline Third Party Damage

Using Advanced Probability of Exceedance Methods for Defining Remediation Options

A New GIS-Based Method to Estimate Annual Probability of Pipeline Failure Resulting From Landslides Based on Actual Failure Locations

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

Comparison of Machine Learning Models for Quantitative Risk Modelling of Pipeline Systems

Probabilistic Analysis Applied to the Risk of SCC Failure

Advancement of Probabilistic Analysis of Seam Weld Cracking Integrity Management

Risk-Based Data-Driven Optimization of Pipeline Inspection Interval

Subset Simulation of Pipeline Corrosion, Crack, and Dent Defects Considering Multiple Limit States With Large-Scale Validation

ILI System Performance Trials for Mechanical Damage

Development of a Hybrid of Semi-Automatic Waveform Controlled GMAW and Mechanized FCAW-G Welding Process and Associated Alternative Weld Flaw Acceptance Criteria For Pipeline Construction

Improved Semi-Quantitative Reliability-Based Method for Assessment of Pipeline Dents With Stress Risers

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

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