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Proceedings Papers

Leak Detection for Shut-In Pipelines

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Frank Vejahati, Noorallah Rostamy, Nader Noroozi
Proc. ASME. IPC2016, Volume 3: Operations, Monitoring and Maintenance; Materials and Joining, V003T04A014, September 26–30, 2016
Publisher: American Society of Mechanical Engineers
Paper No: IPC2016-64675
https://doi.org/10.1115/IPC2016-64675
View Paper titled, Leak Detection for Shut-In Pipelines
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Topics: Leakage, Pipelines, Algorithms, Pattern recognition, Cooling, Equations of motion, Flow (Dynamics), Fluids, Heat, Pressure drop
Proceedings Papers

Pipeline Rupture Detection Based on Machine Learning and Pattern Recognition

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Martin Di Blasi, Zhan Li
Proc. ASME. IPC2016, Volume 3: Operations, Monitoring and Maintenance; Materials and Joining, V003T04A011, September 26–30, 2016
Publisher: American Society of Mechanical Engineers
Paper No: IPC2016-64471
https://doi.org/10.1115/IPC2016-64471
View Paper titled, Pipeline Rupture Detection Based on Machine Learning and Pattern Recognition
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Topics: Machine learning, Pattern recognition, Pipelines, Rupture, Leakage, American Petroleum Institute, Cybernetics, Reliability
Proceedings Papers

Waveform Pattern Recognition Applied to Rapid Detection of Wall-Thinning in Pipes: A Simulation-Based Case Study

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Wissam M. Alobaidi, Eric Sandgren, Hussain M. Al-Rizzo
Proc. ASME. IPC2016, Volume 3: Operations, Monitoring and Maintenance; Materials and Joining, V003T04A038, September 26–30, 2016
Publisher: American Society of Mechanical Engineers
Paper No: IPC2016-64320
https://doi.org/10.1115/IPC2016-64320
View Paper titled, Waveform Pattern Recognition Applied to Rapid Detection of Wall-Thinning in Pipes: A Simulation-Based Case Study
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Topics: Pattern recognition, Pipes, Simulation, Calibration, Computer simulation, Microwaves, Nondestructive evaluation, Resonance
Proceedings Papers

Pipeline Fault Diagnosis System Enhancement

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Tang Xiujia
Proc. ASME. IPC1998, Volume 2: Design and Construction; Pipeline Automation and Measurement; Environmental Issues; Rotating Equipment Technology, 835-841, June 7–11, 1998
Publisher: American Society of Mechanical Engineers
Paper No: IPC1998-2097
https://doi.org/10.1115/IPC1998-2097
View Paper titled, Pipeline Fault Diagnosis System Enhancement
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Topics: Fault diagnosis, Pipelines, Temperature, Waves, Fluids, Artificial intelligence, Artificial neural networks, Density, Flow (Dynamics), Heat
Proceedings Papers

A Combined Leak Detection Method Using Pattern Recognition Techniques

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Gerhard Geiger, Daniel Vogt
Proc. ASME. IPC2014, Volume 1: Design and Construction; Environment; Pipeline Automation and Measurement, V001T09A014, September 29–October 3, 2014
Publisher: American Society of Mechanical Engineers
Paper No: IPC2014-33297
https://doi.org/10.1115/IPC2014-33297
View Paper titled, A Combined Leak Detection Method Using Pattern Recognition Techniques
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Topics: Leakage, Pattern recognition, Sensors, Accidents, Pipelines, Robustness, Transients (Dynamics)
Proceedings Papers

Acoustic Leak Detection Technology Assessment

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Augusto Garcia-Hernandez, Shane Siebenaler
Proc. ASME. IPC2012, Volume 1: Upstream Pipelines; Project Management; Design and Construction; Environment; Facilities Integrity Management; Operations and Maintenance; Pipeline Automation and Measurement, 745-754, September 24–28, 2012
Publisher: American Society of Mechanical Engineers
Paper No: IPC2012-90146
https://doi.org/10.1115/IPC2012-90146
View Paper titled, Acoustic Leak Detection Technology Assessment
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Topics: Acoustics, Leakage, Pipelines, Pressure, Signals, Fluids, Modeling, Speed of sound, Waves, Algorithms
Proceedings Papers

Building a Leakage Detection System Using Ensembles: A New Way

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Carlos H. M. Bomfim, Walmir Matos Caminhas, Benjamim Rodrigues de Menezes, Carlos Alexandre Laurentys de Almeida
Proc. ASME. IPC2004, 2004 International Pipeline Conference, Volumes 1, 2, and 3, 2201-2210, October 4–8, 2004
Publisher: American Society of Mechanical Engineers
Paper No: IPC2004-0187
https://doi.org/10.1115/IPC2004-0187
View Paper titled, Building a Leakage Detection System Using Ensembles: A New Way
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Topics: Leakage, Pipelines, Errors, Genetic algorithms, Accidents, Artificial neural networks, Failure, Flow (Dynamics), Flow measurement, Fuzzy logic
Proceedings Papers

“Digital Pigging” as a Basis for Improved Pipeline Structural Integrity Evaluations

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James D. Hart, Nasir Zulfiqar, David H. Moore, Greg R. Swank
Proc. ASME. IPC2006, Volume 2: Integrity Management; Poster Session; Student Paper Competition, 533-542, September 25–29, 2006
Publisher: American Society of Mechanical Engineers
Paper No: IPC2006-10349
https://doi.org/10.1115/IPC2006-10349
View Paper titled, “Digital Pigging” as a Basis for Improved Pipeline Structural Integrity Evaluations
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Topics: Pipelines, Geometry, Gages, Pipes, Accelerometers, Filtration, Noise (Sound), Pattern recognition
Proceedings Papers

Pipeline Leak Localization Using Pattern Recognition and a Bayes Detector

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Marti´n Di Blasi, Renan Martins Baptista, Carlos Muravchik
Proc. ASME. IPC2006, Volume 3: Materials and Joining; Pipeline Automation and Measurement; Risk and Reliability, Parts A and B, 719-726, September 25–29, 2006
Publisher: American Society of Mechanical Engineers
Paper No: IPC2006-10211
https://doi.org/10.1115/IPC2006-10211
View Paper titled, Pipeline Leak Localization Using Pattern Recognition and a Bayes Detector
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Topics: Leakage, Pattern recognition, Pipelines, Sensors, Pressure drop, Accounting, Algorithms, Flow (Dynamics), Fluids, Parameter estimation