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Proceedings Papers

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

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

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

Elaheh Ebrahimnia, Shawn Prasad, Amandeep Virk, Khurram Shahzad, Muntaseer Kainat, Saheed Akonko

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

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

DOI: https://doi.org/10.1115/IPC2022-87194

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Topics: Engineering simulation, Finite element analysis, Finite element model, Inspection, Leakage, Magnetic flux, Modeling, Resolution (Optics), Simulation

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

DOI: https://doi.org/10.1115/IPC2022-87676

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Topics: Eddies (Fluid dynamics), Eddy current testing, Eddy currents (Electricity), Fracture (Materials), Inspection, Pipelines, Stress, Pipes, Crack detection, Hydrogen

Proceedings Papers

Challenging Inspection Methodologies and Benefits – Recommended Scenarios for UT, MFL, and Robotics

Mick Collins, Rod Lee, Calvin Vasileff, Michael Kobelak

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A043, September 26–30, 2022

Paper No: IPC2022-88267

DOI: https://doi.org/10.1115/IPC2022-88267

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Topics: Inspection, Robotics, Pipelines, Maintenance, Sensors, Deformation, Energy storage, Lasers, Leakage, Magnetic flux

Proceedings Papers

Not All Data Is Good Data: The Challenges of Using Machine Learning With ILI

Adrian Belanger, Dane Burden, Paul Dalfonso

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A023, September 26–30, 2022

Paper No: IPC2022-86934

DOI: https://doi.org/10.1115/IPC2022-86934

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Topics: Machine learning, Nondestructive evaluation, Errors, Metals, Pipelines, Cycles, Inspection, Accuracy and precision, Dimensions, Ditches

Proceedings Papers

Different Ways to Reduce Greenhouse Gas Emission in Pipelines

Jun Zhang, John Anderton, Adrian Kane

Paper No: IPC2022-87391

DOI: https://doi.org/10.1115/IPC2022-87391

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Topics: Emissions, Greenhouse gases, Pipelines, Computer software, Compressors, American Petroleum Institute, Carbon capture and storage, Climate change, Gaseous fuels, Hardware

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

DOI: https://doi.org/10.1115/IPC2022-87165

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Topics: Acoustics, Damage, Deformation, Dynamic testing (Materials), Failure, Fatigue life, Finite element analysis, Fracture (Materials), Geometry, Inspection

Proceedings Papers

Establishing Corrosion Growth Rates Based on MFL-C vs. MFL In-Line Inspection Run-to-Run Comparisons

Eric Graf, Matthew Ellinger, William Harper, Thomas Bubenik, Stacy Hickey, Pamela Moreno

Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A051, September 26–30, 2022

Paper No: IPC2022-87272

DOI: https://doi.org/10.1115/IPC2022-87272

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Topics: Corrosion, Inspection, Leakage, Magnetic flux, Metals, Pipelines

Proceedings Papers

New Findings in Leak Detection on Multi-Phase Pipelines

Andrew Hoffman, Jun Zhang, Jason Wilkie

Proc. ASME. IPC2022, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A005, September 26–30, 2022

Paper No: IPC2022-87397

DOI: https://doi.org/10.1115/IPC2022-87397

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Topics: Leakage, Pipelines, Flow (Dynamics), Fluids, Hardware, Computer software, Emissions, Flowmeters, Greenhouse gases, Instrumentation

Proceedings Papers

High Fidelity Distributed Fiber Optic Sensing for Landslide Detection

Carrie Murray, Ehsan Jalilian, Arfeen Najeeb, Sam Toms, Tasnim Hossain

Proc. ASME. IPC2022, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A017, September 26–30, 2022

Paper No: IPC2022-87809

DOI: https://doi.org/10.1115/IPC2022-87809

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Topics: Fibers, Landslides, Pipelines, Acoustics, Instrumentation, Leakage, Accelerometers, Construction, Containment, Cracking (Materials)

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

DOI: https://doi.org/10.1115/IPC2022-87788

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Topics: Data acquisition, Leakage, Modeling, Pipelines, Pressure, Transients (Dynamics), Waves

Proceedings Papers

Rapid Leak Detection on Slurry Lines by Negative Pressure Wave Detection With Distributed Fiber Optic Sensing

Alasdair Murray, Alastair Godfrey, Chris Minto

Proc. ASME. IPC2022, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A019, September 26–30, 2022

Paper No: IPC2022-86011

DOI: https://doi.org/10.1115/IPC2022-86011

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Topics: Fibers, Leakage, Pressure, Slurries, Waves

Proceedings Papers

Microwave Chipless Resonator Strain Sensor for Pipeline Safety Monitoring

Masoud Baghelani, Zahra Abbasi, Mojgan Daneshmand

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A049, September 28–30, 2020

Paper No: IPC2020-9621

DOI: https://doi.org/10.1115/IPC2020-9621

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Topics: Microwaves, Pipelines, Safety, Strain sensors, Sensors, Resonance, Young's modulus, Adhesives, Copper, Corrosion

Proceedings Papers

H2 in an Existing Natural Gas Pipeline

O. J. C. Huising, A. H. M. Krom

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A057, September 28–30, 2020

Paper No: IPC2020-9205

DOI: https://doi.org/10.1115/IPC2020-9205

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Topics: Hydrogen, Methane, Natural gas distribution, Safety, Pipelines, Maintenance, Valves, Emergencies, Leakage, Natural gas

Proceedings Papers

What Is the Leak Rate for a Liquid Slug Flowing Past a Side Branch?

C. Hartloper, E. Clavelle, K. Leong, M. Fitz, S. Epur

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A051, September 28–30, 2020

Paper No: IPC2020-9767

DOI: https://doi.org/10.1115/IPC2020-9767

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Topics: Leakage, Slug flows, Pipe sizes, Pipelines, Flow (Dynamics), Liquid mixtures, Pressure, Surfactants, Water

Proceedings Papers

Installation Errors in Polyethylene Pipe for Natural Gas Service: Recent Case Histories by the National Transportation Safety Board (NTSB)

Frank Zakar

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, V002T02A015, September 28–30, 2020

Paper No: IPC2020-9653

DOI: https://doi.org/10.1115/IPC2020-9653

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Topics: Errors, Heat, Natural gas, Polyethylene pipes, Safety, Transportation systems, Accidents, Fittings, Leakage, Materials properties

Proceedings Papers

A Pressure Reduction to Prevent a Time-Delayed Failure in a Damaged Pipeline

Andrew Cosham, Brian N. Leis, Paul Roovers, Mures Zarèa, Valerie Linton

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A053, September 28–30, 2020

Paper No: IPC2020-9440

DOI: https://doi.org/10.1115/IPC2020-9440

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Topics: Failure, Pipelines, Pressure, Steel, Fracture toughness, Stress, Creep, Damage, Pipes, Corrosion

Proceedings Papers

Concerted, Computing-Intense Novel MFL Approach Ensuring Reliability and Reducing the Need for Dig Verification

Johannes Palmer, Aaron Schartner, Andrey Danilov, Vincent Tse

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A069, September 28–30, 2020

Paper No: IPC2020-9361

DOI: https://doi.org/10.1115/IPC2020-9361

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Topics: Reliability, Metals, Signals, Optimization, Ambiguity, Artificial intelligence, Geometry, Leakage, Machine learning, Magnetic flux

Proceedings Papers

A Prudent Approach to Evaluate Dig Effectiveness

Aaron Schartner, Aaron Woo, Dushyant Puri, Shahani Kariyawasam

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A062, September 28–30, 2020

Paper No: IPC2020-9520

DOI: https://doi.org/10.1115/IPC2020-9520

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Topics: Corrosion, Ditches, Industrial research, Inspection, Leakage, Maintenance, Optimization, Pipelines, Reliability, Rupture

NARROW

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

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

Enhancing Results of Ultra-High-Resolution Axial Magnetic Flux Leakage (MFL-A Ultra) Inspection Data Utilizing Finite-Element Modeling (FEM) Simulations

New Approaches in Utilizing Eddy Current Testing to Address Pipeline Inline Inspection Requirement

Challenging Inspection Methodologies and Benefits – Recommended Scenarios for UT, MFL, and Robotics

Not All Data Is Good Data: The Challenges of Using Machine Learning With ILI

Different Ways to Reduce Greenhouse Gas Emission in Pipelines

Gaps in the Current Strain-Based Dent Assessment

Establishing Corrosion Growth Rates Based on MFL-C vs. MFL In-Line Inspection Run-to-Run Comparisons

New Findings in Leak Detection on Multi-Phase Pipelines

High Fidelity Distributed Fiber Optic Sensing for Landslide Detection

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

Rapid Leak Detection on Slurry Lines by Negative Pressure Wave Detection With Distributed Fiber Optic Sensing

Microwave Chipless Resonator Strain Sensor for Pipeline Safety Monitoring

H2 in an Existing Natural Gas Pipeline

What Is the Leak Rate for a Liquid Slug Flowing Past a Side Branch?

Installation Errors in Polyethylene Pipe for Natural Gas Service: Recent Case Histories by the National Transportation Safety Board (NTSB)

A Pressure Reduction to Prevent a Time-Delayed Failure in a Damaged Pipeline

Concerted, Computing-Intense Novel MFL Approach Ensuring Reliability and Reducing the Need for Dig Verification

A Prudent Approach to Evaluate Dig Effectiveness

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