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Proceedings Papers

Industrial Validation and Verification Approach for External Fiber Optic Based Leak Detection

Chris Minto, Alastair Godfrey, Paul Clarkson, Alasdair Murray

Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A001, September 28–30, 2020

Paper No: IPC2020-9233

DOI: https://doi.org/10.1115/IPC2020-9233

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Topics: Fibers, Leakage

Proceedings Papers

Leak Rate Testing of a Natural Pipeline Defect

Robert M. Andrews, Joe Short

Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A030, September 28–30, 2020

Paper No: IPC2020-9366

DOI: https://doi.org/10.1115/IPC2020-9366

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Topics: Leakage, Pipelines, Testing, Fracture (Materials), Safety, Surface roughness, Water, Carbon dioxide, Density, Flow (Dynamics)

Proceedings Papers

Numerical Simulation of Crude Oil Spreading in a Complex River Channel

Dongliang Yu, Ji Wang, Quan Cao, Xinglong Zhang, Xueguang Liu

Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A010, September 28–30, 2020

Paper No: IPC2020-9565

DOI: https://doi.org/10.1115/IPC2020-9565

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Topics: Computer simulation, Crude oil, Leakage, Rivers

Proceedings Papers

Pipeline Leak Detection Using a Moderate Gain Nonlinear Observer

Sérgio B. Cunha, Renan M. Baptista

Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A003, September 28–30, 2020

Paper No: IPC2020-9333

DOI: https://doi.org/10.1115/IPC2020-9333

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Topics: Leakage, Pipelines

Proceedings Papers

Employing Space-Based Hyperspectral Imagery for Pipeline Leak Prevention, Detection and Compliance

R. Peter Weaver, Dan Katz, Tushar Prabahakar, Katie A. Corcoran

Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A004, September 28–30, 2020

Paper No: IPC2020-9369

DOI: https://doi.org/10.1115/IPC2020-9369

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Topics: Leakage, Pipelines, Satellites

Proceedings Papers

On-Water Liquid Leak Detection Technology Evaluation

Chris Apps, Marzie Derakhshesh, Nikolaos Salmatanis, Carrie Greaney

Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A005, September 28–30, 2020

Paper No: IPC2020-9463

DOI: https://doi.org/10.1115/IPC2020-9463

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Topics: Leakage, Water

Proceedings Papers

Large Standoff Magnetometry As a Practical Screening and Monitoring Tool for Pipelines Subjected to Geohazards

Tianzong (David) Xu

Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A020, September 28–30, 2020

Paper No: IPC2020-9584

DOI: https://doi.org/10.1115/IPC2020-9584

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Topics: Pipelines, Stress, Magnetization, Signals, Corrosion, Fracture (Materials), Inspection, Leakage, Nondestructive evaluation, Pacific Ocean

Proceedings Papers

Deer Mountain Case Study: Integration of Pipe and Ground Monitoring Data With Historical Information to Develop a Landslide Management Plan

Joel Babcock, Doug Dewar, Joel Webster, Tyler Lich

Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A021, September 28–30, 2020

Paper No: IPC2020-9613

DOI: https://doi.org/10.1115/IPC2020-9613

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Topics: Landslides, Pipes, Pipelines, Leakage, Corrosion, Cracking (Materials), Density, Design, Fracture (Process), Hoop stress

Proceedings Papers

Establishing a Detection Threshold for Acoustic-Based External Leak Detection Systems

Mathew Bussière, Mark Stephens, Marzie Derakhshesh, Yue Cheng, Lorne Daniels

Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A006, September 28–30, 2020

Paper No: IPC2020-9518

DOI: https://doi.org/10.1115/IPC2020-9518

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Topics: Acoustics, Leakage, Probability, Sensitivity analysis, Cables, Data acquisition systems, Fibers, Pipelines, Regression analysis, Sensors

Proceedings Papers

A Method of Leakage Parameters Estimation for Liquid Pipelines Based on Conditional Generative Adversarial Network

Jianqin Zheng

Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A007, September 28–30, 2020

Paper No: IPC2020-9538

DOI: https://doi.org/10.1115/IPC2020-9538

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Topics: Leakage, Pipelines

Proceedings Papers

The Application of Numerical Simulation to Liquid Pipeline Leakage at LNG Terminal in China

Zhichao Guo, Zhaoci Li

Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A038, September 28–30, 2020

Paper No: IPC2020-9636

DOI: https://doi.org/10.1115/IPC2020-9636

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Topics: China, Computer simulation, Diffusion (Physics), Leakage, Liquefied natural gas, Pipelines

Proceedings Papers

Repair of Leaks in Thin Wall High Pressure Pipelines Using Composite Reinforcing Technologies

Chris Alexander, Salem Talbi, Richard Kania, Jon Rickert

Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A040, September 28–30, 2020

Paper No: IPC2020-9757

DOI: https://doi.org/10.1115/IPC2020-9757

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Topics: Composite materials, High pressure (Physics), Leakage, Maintenance, Pipelines, Thin wall structures

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

Proceedings Papers

Distribution Reliability Using Machine Learning

Jason Skow, Rob McPherson, Kent Shoenroth

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A070, September 28–30, 2020

Paper No: IPC2020-9373

DOI: https://doi.org/10.1115/IPC2020-9373

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Topics: Machine learning, Reliability, Damage, Leakage, Pipelines

2 3 4 5

NARROW

Industrial Validation and Verification Approach for External Fiber Optic Based Leak Detection

Leak Rate Testing of a Natural Pipeline Defect

Numerical Simulation of Crude Oil Spreading in a Complex River Channel

Pipeline Leak Detection Using a Moderate Gain Nonlinear Observer

Employing Space-Based Hyperspectral Imagery for Pipeline Leak Prevention, Detection and Compliance

On-Water Liquid Leak Detection Technology Evaluation

Large Standoff Magnetometry As a Practical Screening and Monitoring Tool for Pipelines Subjected to Geohazards

Deer Mountain Case Study: Integration of Pipe and Ground Monitoring Data With Historical Information to Develop a Landslide Management Plan

Establishing a Detection Threshold for Acoustic-Based External Leak Detection Systems

A Method of Leakage Parameters Estimation for Liquid Pipelines Based on Conditional Generative Adversarial Network

The Application of Numerical Simulation to Liquid Pipeline Leakage at LNG Terminal in China

Repair of Leaks in Thin Wall High Pressure Pipelines Using Composite Reinforcing Technologies

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

Distribution Reliability Using Machine Learning

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