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Proceedings Papers

Optimizing the Prioritization of First-Time ILIs Using Quantitative Risk and Machine Learning

Brenn Snider, Wei Xiang, Billy Zhang, Sergiu Lecut
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, V001T07A030, September 26–30, 2022
Paper No: IPC2022-87309
DOI: https://doi.org/10.1115/IPC2022-87309
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Topics: Machine learning, Risk, Risk assessment, Risk reduction
Proceedings Papers

Systematic Assessment of Risk Control Effectiveness

Eric Grant, Shreya Ambasta, Mark Jean
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, V001T07A029, September 26–30, 2022
Paper No: IPC2022-87280
DOI: https://doi.org/10.1115/IPC2022-87280
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Topics: Risk assessment, Risk, Hazards, Pipelines, Reliability, Risk control, Risk management, Teams
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

Risk Based Asset Management Model for a Natural Gas Transmission Pipeline

Martin Hommes, Eric Jager, Paul Kassenberg, Oleg Borisov, Jan Ribberink
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, V001T01A008, September 26–30, 2022
Paper No: IPC2022-85980
DOI: https://doi.org/10.1115/IPC2022-85980
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Topics: Natural gas, Pipelines, Risk
Proceedings Papers

Onshore Pipeline Safety Consequence Modelling in Support of the Development of a Risk-Based Safety Class System

Mark Stephens, Howard Yue, Ann Halford, Niall Foster
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, V001T07A020, September 26–30, 2022
Paper No: IPC2022-87217
DOI: https://doi.org/10.1115/IPC2022-87217
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Topics: Hazards, Modeling, Pipelines, Risk, Safety
Proceedings Papers

A Risk-Based Safety Class System for Onshore Pipelines

Maher Nessim, Mark Stephens, Howard Yue
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, V001T01A011, September 26–30, 2022
Paper No: IPC2022-87099
DOI: https://doi.org/10.1115/IPC2022-87099
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Topics: Design, Pipelines, Pressure, Risk, Safety
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

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

Balancing Hydrogen Networks Safely: A Method for Calculating Linepack Potential Without Causing Integrity Risk Due to Hydrogen-Enhanced Fatigue

Onno Wesselink, Alfons Krom, Martin van Agteren
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, V001T08A003, September 26–30, 2022
Paper No: IPC2022-86674
DOI: https://doi.org/10.1115/IPC2022-86674
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Topics: Fatigue, Fluctuations (Physics), Hydrogen, Pipeline integrity, Pressure, Risk
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
DOI: https://doi.org/10.1115/IPC2022-86889
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Topics: Inspection, Robotics, Flow (Dynamics), Testing, Computers, Containment, Downtime, Modeling, Pipelines, Pipes
Proceedings Papers

Considering Roadway Traffic in Quantitative Risk Assessment for Natural Gas Pipelines

Dongliang Lu, Tammeen Siraj, Karen Warhurst, Konstantinos Dimitriadis, Matt Towers
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, V001T07A022, September 26–30, 2022
Paper No: IPC2022-87251
DOI: https://doi.org/10.1115/IPC2022-87251
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Topics: Natural gas distribution, Risk, Risk assessment, Roads, Traffic
Proceedings Papers

Management System Enabled ESG Performance

Mark S. Jean, Eric Grant
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, V001T01A004, September 26–30, 2022
Paper No: IPC2022-86870
DOI: https://doi.org/10.1115/IPC2022-86870
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Topics: Accounting, Climate, Columns (Structural), Insurance, Leadership, Pipelines, Risk, Sustainability, Transparency
Proceedings Papers

Overcoming Challenges for Quantitative Risk Modeling Using Machine Learned Data Correlations and Predictive Modeling

Stephen F. Biagiotti, Jr, Dan Williams, Sergiy Kondratyuk, Brett Johnson
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A004, September 26–30, 2022
Paper No: IPC2022-87236
DOI: https://doi.org/10.1115/IPC2022-87236
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Topics: Machine learning, Machinery, Modeling, Risk
Proceedings Papers

Characterization of Through-Wall Cracks and Resulting Leakage Rates in Pipelines

Elaheh Ebrahimnia, Shawn Prasad, Amandeep Virk, Khurram Shahzad, Muntaseer Kainat, Saheed Akonko
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, V001T07A026, September 26–30, 2022
Paper No: IPC2022-87262
DOI: https://doi.org/10.1115/IPC2022-87262
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Topics: Computational fluid dynamics, Finite element analysis, Fracture (Materials), Leakage, Pipelines, Surface roughness, Wall thickness, Pressure, Turbulence, Risk
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

Structured, Systematic Threat Based Approach to Evaluate and Improve Data Quality to Facilitate Digital Transformation

Pushpendra Tomar, Betsy Kruse, Samah Hasan, Sergiy Kondratyuk
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A005, September 26–30, 2022
Paper No: IPC2022-87872
DOI: https://doi.org/10.1115/IPC2022-87872
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Topics: Cloud computing, Coating processes, Coatings, Data storage systems, Machine learning, Pipeline integrity, Pipelines, Reliability, Risk, Risk assessment
Proceedings Papers

Chasing Ghosts: An Integrative Approach to Properly Qualify a Pipeline Threat

Michael Turnquist
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A030, September 26–30, 2022
Paper No: IPC2022-87120
DOI: https://doi.org/10.1115/IPC2022-87120
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Topics: Pipelines, Testing, Crack detection, Nondestructive evaluation, Cracking (Materials), Electrical resistance, Fatigue testing, Fracture (Process), Inspection, Materials properties
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

Risk-Based Hoop Stress Factors for Pressure Design

Riski Adianto, Maher Nessim, Balek Ngandu
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, V001T01A009, September 26–30, 2022
Paper No: IPC2022-86815
DOI: https://doi.org/10.1115/IPC2022-86815
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Topics: Design, Hoop stress, Pressure, Risk, Safety