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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
https://doi.org/10.1115/IPC2022-87217
View Paper titled, Onshore Pipeline Safety Consequence Modelling in Support of the Development of a Risk-Based Safety Class System
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Topics: Hazards, Modeling, Pipelines, Risk, Safety
Proceedings Papers

Modelling Accidental Impact Threats to Natural Gas Storage Wells

Shawn Smith, Alex Fraser, Mari Shironishi, Dan Neville, Dan Shapiro
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, V001T07A001, September 26–30, 2022
Paper No: IPC2022-86734
https://doi.org/10.1115/IPC2022-86734
View Paper titled, Modelling Accidental Impact Threats to Natural Gas Storage Wells
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Topics: Modeling, Natural gas, Risk assessment, Storage, Wells
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

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

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
https://doi.org/10.1115/IPC2022-87236
View Paper titled, Overcoming Challenges for Quantitative Risk Modeling Using Machine Learned Data Correlations and Predictive Modeling
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Topics: Machine learning, Machinery, Modeling, Risk
Proceedings Papers

Key Considerations for Elastic Finite-Element Modeling of Pipeline Dents for Fatigue Assessments

Ryan Sager, Fernando Curiel, Chris Holliday
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A031, September 26–30, 2022
Paper No: IPC2022-87142
https://doi.org/10.1115/IPC2022-87142
View Paper titled, Key Considerations for Elastic Finite-Element Modeling of Pipeline Dents for Fatigue Assessments
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Topics: Fatigue, Finite element analysis, Modeling, Pipelines
Proceedings Papers

Adapting Existing Quantitative Risk Assessment Tools for the Energy Transition

Matthew Horn, Tara Franey, Jeremy Fontenault
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, V001T08A001, September 26–30, 2022
Paper No: IPC2022-84761
https://doi.org/10.1115/IPC2022-84761
View Paper titled, Adapting Existing Quantitative Risk Assessment Tools for the Energy Transition
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Topics: Carbon capture and storage, Carbon dioxide, Construction, Cycles, Decision making, Emissions, Energy resources, Explosions, Fire, Fire risk
Proceedings Papers

Gaps in the Current Strain-Based Dent Assessment

Rick Wang, Ken Zhang
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A032, September 26–30, 2022
Paper No: IPC2022-87165
https://doi.org/10.1115/IPC2022-87165
View Paper titled, Gaps in the Current Strain-Based Dent Assessment
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Topics: Acoustics, Damage, Deformation, Dynamic testing (Materials), Failure, Fatigue life, Finite element analysis, Fracture (Materials), Geometry, Inspection
Proceedings Papers

Consequence Modeling of Hypothetical Releases From Carbon Dioxide (CO 2 ) Transport Pipelines

Jeremy Fontenault, Tara Franey
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, V001T08A010, September 26–30, 2022
Paper No: IPC2022-87131
https://doi.org/10.1115/IPC2022-87131
View Paper titled, Consequence Modeling of Hypothetical Releases From Carbon Dioxide (CO 2 ) Transport Pipelines
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Topics: Carbon capture and storage, Carbon dioxide, Modeling, Pipelines, Risk
Proceedings Papers

Optimizing Blended Hydrogen Uniformity Within Natural Gas Pipeline Distribution Networks

Guohua Li, Michelle Moyer, Hamid Bidmus
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, V001T08A009, September 26–30, 2022
Paper No: IPC2022-87097
https://doi.org/10.1115/IPC2022-87097
View Paper titled, Optimizing Blended Hydrogen Uniformity Within Natural Gas Pipeline Distribution Networks
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Topics: Hydrogen, Modeling, Natural gas distribution, Optimization
Proceedings Papers

Enhancing (Reducing) the Leak Detection Times in Pipelines by Deployment of Real-Time Ethernet Protocols in Lieu of Legacy Protocols, Such as DNP, IEC-60870-5-101 / 104

Nadimpalli V. S. N. Raju, Supriyo Ganguly, Y. Gowri Sankar, Jon Barley, Gregory Morrow
Proc. ASME. IPC2022, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A006, September 26–30, 2022
Paper No: IPC2022-87788
https://doi.org/10.1115/IPC2022-87788
View Paper titled, Enhancing (Reducing) the Leak Detection Times in Pipelines by Deployment of Real-Time Ethernet Protocols in Lieu of Legacy Protocols, Such as DNP, IEC-60870-5-101 / 104
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Topics: Data acquisition, Leakage, Modeling, Pipelines, Pressure, Transients (Dynamics), Waves
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
https://doi.org/10.1115/IPC2022-87262
View Paper titled, Characterization of Through-Wall Cracks and Resulting Leakage Rates in Pipelines
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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
https://doi.org/10.1115/IPC2022-87258
View Paper titled, Comparison of Machine Learning Models for Quantitative Risk Modelling of Pipeline Systems
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Topics: Machine learning, Modeling, Pipeline systems, Risk, Artificial neural networks, Failure, Fittings, Industrial research, Pipelines, Pipes
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

Getting to Know Your Bends to Support SCC Management

Chris Wood, Fernando Merotto, Brian Kerrigan, Ramon Loback, Pedro Gea
Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A063, September 28–30, 2020
Paper No: IPC2020-9578
https://doi.org/10.1115/IPC2020-9578
View Paper titled, Getting to Know Your Bends to Support SCC Management
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Topics: Acoustics, American Petroleum Institute, Bending (Stress), Collapse, Crack detection, Cracking (Materials), Failure, Finite element analysis, Fractography, Fracture (Materials)
Proceedings Papers

Assessing Potential Impacts to Waterways From Small Volume Releases Originating From Facilities or Equipment

Jeremy Fontenault, Tara Franey, Matt Horn
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, V002T02A014, September 28–30, 2020
Paper No: IPC2020-9377
https://doi.org/10.1115/IPC2020-9377
View Paper titled, Assessing Potential Impacts to Waterways From Small Volume Releases Originating From Facilities or Equipment
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Topics: Bodies of water, Flow (Dynamics), Lakes, Leakage, Modeling, Performance, Pipeline integrity management, Pipelines, Risk, Rivers
Proceedings Papers

Modeling of Advanced Ultrasonic Testing Methods for Improved Characterization of Pipeline Damage

Jason K. Van Velsor, Owen M. Malinowski, Scott A. Riccardella, Luis Velandia, Richard Kania
Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A048, September 28–30, 2020
Paper No: IPC2020-9605
https://doi.org/10.1115/IPC2020-9605
View Paper titled, Modeling of Advanced Ultrasonic Testing Methods for Improved Characterization of Pipeline Damage
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Topics: Damage, Modeling, Pipelines, Ultrasonic testing, Nondestructive evaluation, Ditches, Finite element analysis, Fracture (Materials), Stress corrosion cracking, Testing
Proceedings Papers

Statistical Analysis of Dig Operations Leading to Productive Repairs

Yevgeniy Petrov, Jordan Dubuc, Michael H. Murray, Tim Edward
Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A073, September 28–30, 2020
Paper No: IPC2020-9493
https://doi.org/10.1115/IPC2020-9493
View Paper titled, Statistical Analysis of Dig Operations Leading to Productive Repairs
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Topics: Maintenance, Statistical analysis, Inspection, Computer software, Corrosion, Data storage systems, Half-life, Machine learning, Modeling, Pipeline integrity
Proceedings Papers

Probabilistic Digital Twins for Transmission Pipelines

Francois Ayello, Guanlan Liu, Yonghe Yang, Ning Cui
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, V002T07A002, September 28–30, 2020
Paper No: IPC2020-9240
https://doi.org/10.1115/IPC2020-9240
View Paper titled, Probabilistic Digital Twins for Transmission Pipelines
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Topics: Pipelines, Corrosion, Databases, Modeling, Sensors, Uncertainty, Erosion, Flow (Dynamics), Petroleum industry, Risk
Proceedings Papers

Application of Risk and Reliability in Designing Facility Site Containment

Geoff Ballard, Refaul Ferdous, Anthony Payoe, Amanda Kulhawy
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, V002T07A003, September 28–30, 2020
Paper No: IPC2020-9261
https://doi.org/10.1115/IPC2020-9261
View Paper titled, Application of Risk and Reliability in Designing Facility Site Containment
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Topics: Containment, Design, Modeling, Reliability, Risk