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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
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
DOI: https://doi.org/10.1115/IPC2022-87093
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Topics: Algorithms, Damage, Failure, Inspection, Machine learning, Pipelines, Probability
Proceedings Papers

Machine Learning-Based Severity Assessment of Pipeline Dents

Huang Tang, Jialin Sun, Martin Di Blasi
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, V001T07A019, September 26–30, 2022
Paper No: IPC2022-87211
DOI: https://doi.org/10.1115/IPC2022-87211
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Topics: Finite element analysis, Machine learning, Machinery, Pipelines, Engineering prototypes, Failure, Maintenance, Reliability, Damage, Deformation
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
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, V001T06A004, September 26–30, 2022
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

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
DOI: https://doi.org/10.1115/IPC2022-87237
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Topics: Failure, Inspection, Pipelines, Safety
Proceedings Papers

Pump Station Design II: A Tale of Two Pump Stations

Jim Horner
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, V001T02A006, September 26–30, 2022
Paper No: IPC2022-81585
DOI: https://doi.org/10.1115/IPC2022-81585
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Topics: Computational fluid dynamics, Design, Erosion, Finite element analysis, Pumps, Pipes, Fatigue, Pressure, Turbulence, Construction
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
DOI: https://doi.org/10.1115/IPC2022-87276
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Topics: Failure, Pipes, Reliability, Inspection, Fittings, Flanges, Flow (Dynamics), Leakage, Architecture, Corrosion
Proceedings Papers

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

Michael Porter, Joel Van Hove, Pete Barlow
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, V001T07A007, September 26–30, 2022
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
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
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

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

Sarah Newton, Joel Van Hove, Michael Porter, Gerald Ferris
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, V001T07A031, September 26–30, 2022
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

Improvements to Strain Hardening Exponent and the Implications to Failure Pressure Predictions

Emily Brady, Jeffrey Kornuta, Joel Anderson, Adam Steiner, Peter Veloo
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A017, September 26–30, 2022
Paper No: IPC2022-86041
DOI: https://doi.org/10.1115/IPC2022-86041
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Topics: Failure, Pipelines, Pressure, Steel, Work hardening
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
DOI: https://doi.org/10.1115/IPC2022-87327
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Topics: Pipeline integrity management, Stress, Finite element analysis, Corrosion, Hoop stress, Tension, Buckling, Compressive stress, Cracking (Materials), Deformation
Proceedings Papers

Reliability Assessment of Pipeline Third Party Damage

Mahsa Mehranfar, Millan Sen, Christopher Lam, 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, V001T07A021, September 26–30, 2022
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

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
DOI: https://doi.org/10.1115/IPC2022-87098
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Topics: Algorithms, Chisels, Damage, Deformation, Engines, Failure, Fatigue analysis, Fatigue life, Finite element analysis, Finite element methods
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
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, V001T07A002, September 26–30, 2022
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
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
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
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, V001T07A025, September 26–30, 2022
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
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, V001T07A005, September 26–30, 2022
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

Implementation and Validation of Reliability-Based Crack Assessment for Natural Gas Pipelines

Wei Xiang, Shenwei Zhang, Jason Yan, Elvis Sanjuan Riverol, Kyle Myden
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, V001T07A018, September 26–30, 2022
Paper No: IPC2022-87208
DOI: https://doi.org/10.1115/IPC2022-87208
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Topics: Failure, Fracture (Materials), Natural gas distribution, Pressure, Reliability, Stress corrosion cracking
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