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Proceedings Papers

Estimating Pipeline Probability of Failure Due to External Interference Damage Using Machine Learning Algorithms Trained on In-Line Inspection Data

James White, Katherine Taylor, Jonny Martin, Steven Carrell, Roland Palmer-Jones
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, V001T07A009, September 26–30, 2022
Paper No: IPC2022-87093
https://doi.org/10.1115/IPC2022-87093
View Paper titled, Estimating Pipeline Probability of Failure Due to External Interference Damage Using Machine Learning Algorithms Trained on In-Line Inspection Data
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Topics: Algorithms, Damage, Failure, Inspection, Machine learning, Pipelines, Probability
Proceedings Papers

Assessing Geohazard Probability of Pipeline Failure: Lessons and Improvements From the Last 10 Years

Sarah Newton, Joel Van Hove, Michael Porter, Gerald Ferris
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, V001T07A031, September 26–30, 2022
Paper No: IPC2022-87319
https://doi.org/10.1115/IPC2022-87319
View Paper titled, Assessing Geohazard Probability of Pipeline Failure: Lessons and Improvements From the Last 10 Years
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Topics: Algorithms, Failure, Geohazards, Pipelines, Probability, Risk assessment
Proceedings Papers

Diagnosis and Recognition of Pipeline Damage Defects Based on Neural Network Algorithm

Min Zhang, Yanbao Guo, Deguo Wang, Qiang Du
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, V001T01A013, September 26–30, 2022
Paper No: IPC2022-87163
https://doi.org/10.1115/IPC2022-87163
View Paper titled, Diagnosis and Recognition of Pipeline Damage Defects Based on Neural Network Algorithm
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Topics: Algorithms, Artificial neural networks, Damage, Pipelines, Safety
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

Addressing Data Gaps for Facility Reliability Assessments Using Non-Hierarchical Cluster Analysis

Ryan Stewart, Martin Di Blasi, Thomas Dessein
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, V001T07A013, September 26–30, 2022
Paper No: IPC2022-87145
https://doi.org/10.1115/IPC2022-87145
View Paper titled, Addressing Data Gaps for Facility Reliability Assessments Using Non-Hierarchical Cluster Analysis
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Topics: Machine learning, Reliability, Risk assessment, Risk, Algorithms, Compressors, Data collection, Materials properties, Pipelines, Pressure
Proceedings Papers

Estimating Measurement Performance With Truncated Data Sets

Jason Skow, Joseph W. Krynicki, Alex Fraser, Gustavo Gonzalez
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A026, September 26–30, 2022
Paper No: IPC2022-87060
https://doi.org/10.1115/IPC2022-87060
View Paper titled, Estimating Measurement Performance With Truncated Data Sets
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Topics: Algorithms, American Petroleum Institute, Errors, Event history analysis, Fracture (Materials), Inspection, Nondestructive evaluation, Pipeline integrity, Pipelines, Risk
Proceedings Papers

Development of a Near-Neutral pH Stress Corrosion Cracking Growth Model for Pipelines Using Machine Learning Algorithms

Haotian Sun, Wenxing Zhou, Jidong Kang
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A059, September 26–30, 2022
Paper No: IPC2022-87207
https://doi.org/10.1115/IPC2022-87207
View Paper titled, Development of a Near-Neutral pH Stress Corrosion Cracking Growth Model for Pipelines Using Machine Learning Algorithms
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Topics: Algorithms, Fracture (Materials), Machine learning, Pipelines, Stress corrosion cracking
Proceedings Papers

A Simple Baseline of Pipeline Data Simulation Algorithm Based on DGM

Xu Hu, Hengyu Wang, Hongyang Zhao, Gaoling Liu, Di Wang
Proc. ASME. IPC2022, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A002, September 26–30, 2022
Paper No: IPC2022-86997
https://doi.org/10.1115/IPC2022-86997
View Paper titled, A Simple Baseline of Pipeline Data Simulation Algorithm Based on DGM
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Topics: Algorithms, Pipelines, Simulation, Errors, Flow (Dynamics), Pressure, Pumps, Sensors, Statistical distributions
Proceedings Papers

Morphological Change Detection at Pipeline Crossings Using Remote Sensing: A Proof-of-Concept Study

Rudy Schueder, Jeanine Engelbrecht
Proc. ASME. IPC2022, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A013, September 26–30, 2022
Paper No: IPC2022-87155
https://doi.org/10.1115/IPC2022-87155
View Paper titled, Morphological Change Detection at Pipeline Crossings Using Remote Sensing: A Proof-of-Concept Study
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Topics: Geohazards, Imaging, Pipelines, Synthetic aperture radar, Rivers, Algorithms, Satellites, Computer programming languages, Computer software, Computers
Proceedings Papers

A More Efficient Effective Area Method Algorithm for Corrosion Assessment (Faster RSTRENG)

Jason Yan, Dongliang Lu, Ian Khou, Shenwei Zhang
Proc. ASME. IPC2022, Volume 2: Pipeline and Facilities Integrity, V002T03A034, September 26–30, 2022
Paper No: IPC2022-87259
https://doi.org/10.1115/IPC2022-87259
View Paper titled, A More Efficient Effective Area Method Algorithm for Corrosion Assessment (Faster RSTRENG)
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Topics: Algorithms, Corrosion, Pressure, Computation, Simulation, Engineers, Inspection, Metals, Pipelines, Reliability
Proceedings Papers

Pipeline Repair Planning Using a Digital Environment to Improve Integrity Tasks

William Sharman, Phillip Sander, Owen Hall, Jonathan Martin, John Spurlock
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, V001T01A005, September 26–30, 2022
Paper No: IPC2022-87094
https://doi.org/10.1115/IPC2022-87094
View Paper titled, Pipeline Repair Planning Using a Digital Environment to Improve Integrity Tasks
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Topics: Maintenance, Pipelines, Engineers, Inspection, Algorithms, Computer software, Pipeline integrity management
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
https://doi.org/10.1115/IPC2022-86906
View Paper titled, Probabilistic Analysis Applied to the Risk of SCC Failure
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Topics: Artificial neural networks, Failure, Machine learning, Risk, Probability, Algorithms, Coating processes, Coatings, Compressors, Fracture mechanics
Proceedings Papers

Time Dependent Reliability Analysis for Oil and Gas Pipelines: A Bayesian Spectral Analysis-Based Deterioration Model

Ngandu Balekelayi, Solomon Tesfamariam
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, V002T07A006, September 28–30, 2020
Paper No: IPC2020-9284
https://doi.org/10.1115/IPC2020-9284
View Paper titled, Time Dependent Reliability Analysis for Oil and Gas Pipelines: A Bayesian Spectral Analysis-Based Deterioration Model
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Topics: Event history analysis, Pipelines, Corrosion, Pipes, Reliability, Soil, Algorithms, Computation, Economics , Emission spectroscopy
Proceedings Papers

Study on Intelligent Controller Design of Flow Metrological Calibration System

Xiong Yin, Kai Wen, Yan Wu, Lei Zhou, Jing Gong
Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A008, September 28–30, 2020
Paper No: IPC2020-9557
https://doi.org/10.1115/IPC2020-9557
View Paper titled, Study on Intelligent Controller Design of Flow Metrological Calibration System
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Topics: Calibration, Design, Flow (Dynamics), Intelligent control systems, Control equipment, Flowmeters, Artificial neural networks, China, Valves, Natural gas
Proceedings Papers

A Hybrid Method Based on SVM Integrated Improved PSO Algorithm for Electrical Energy Consumption Forecasting of Crude Oil Pipeline

Lei Xu, Lei Hou, Zhenyu Zhu, Yu Li, Ting Lei
Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A033, September 28–30, 2020
Paper No: IPC2020-9434
https://doi.org/10.1115/IPC2020-9434
View Paper titled, A Hybrid Method Based on SVM Integrated Improved PSO Algorithm for Electrical Energy Consumption Forecasting of Crude Oil Pipeline
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Topics: Algorithms, Crude oil, Energy consumption, Particle swarm optimization, Pipelines, Support vector machines
Proceedings Papers

Oil Temperature Prediction of Long-Distance Hot-Crude-Oil Pipeline Based on GA-BP Optimization

Tao Yu, Peng Dong, Yang Yu, Jinzhou Song, Jie Zhang
Proc. ASME. IPC2020, Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining, V003T04A012, September 28–30, 2020
Paper No: IPC2020-9634
https://doi.org/10.1115/IPC2020-9634
View Paper titled, Oil Temperature Prediction of Long-Distance Hot-Crude-Oil Pipeline Based on GA-BP Optimization
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Topics: Crude oil, Optimization, Pipelines, Temperature, Safety, Algorithms, Artificial neural networks, Data mining, Errors, Genetic algorithms
Proceedings Papers

Applying Advanced Ultrasonic In-Line Inspection Technologies to Effectively Manage Hook Cracks

Cory Wargacki, Wade Forshner, Rogelio Guajardo, Thomas Hennig
Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A037, September 28–30, 2020
Paper No: IPC2020-9251
https://doi.org/10.1115/IPC2020-9251
View Paper titled, Applying Advanced Ultrasonic In-Line Inspection Technologies to Effectively Manage Hook Cracks
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Topics: Fracture (Materials), Inspection, Pipelines, Algorithms, Echoes, Computer software, Crack detection, Cracking (Materials), Fracture (Process), Manufacturing
Proceedings Papers

Modeling Pipeline Metal Loss Defects at Tool Speed

Matthew Romney, Adrian Belanger
Proc. ASME. IPC2018, Volume 1: Pipeline and Facilities Integrity, V001T03A001, September 24–28, 2018
Paper No: IPC2018-78014
https://doi.org/10.1115/IPC2018-78014
View Paper titled, Modeling Pipeline Metal Loss Defects at Tool Speed
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Topics: Metals, Modeling, Pipelines, Computer simulation, Design, Finite element analysis, Leakage, Algorithms, Corrosion, Flow (Dynamics)
Proceedings Papers

Algorithms for the Strain Based Analysis of Dented Pipelines

Chike Okoloekwe, Muntaseer Kainat, Doug Langer, Sherif Hassanien, Samer Adeeb
Proc. ASME. IPC2018, Volume 1: Pipeline and Facilities Integrity, V001T03A067, September 24–28, 2018
Paper No: IPC2018-78433
https://doi.org/10.1115/IPC2018-78433
View Paper titled, Algorithms for the Strain Based Analysis of Dented Pipelines
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Topics: Algorithms, Pipelines, Noise (Sound), Signals, Low-pass filters, Analytical methods, B-splines, Corrosion, Deformation, Fracture (Materials)
Proceedings Papers

A Methodology to Assess the Gas Supply Capacity and Gas Supply Reliability of a Natural Gas Pipeline Network System

Weichao Yu, Kai Wen, Yichen Li, Weihe Huang, Jing Gong
Proc. ASME. IPC2018, Volume 2: Pipeline Safety Management Systems; Project Management, Design, Construction, and Environmental Issues; Strain Based Design; Risk and Reliability; Northern Offshore and Production Pipelines, V002T07A006, September 24–28, 2018
Paper No: IPC2018-78173
https://doi.org/10.1115/IPC2018-78173
View Paper titled, A Methodology to Assess the Gas Supply Capacity and Gas Supply Reliability of a Natural Gas Pipeline Network System
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Topics: Natural gas distribution, Reliability, Flow (Dynamics), Liquefied natural gas, Pipelines, Simulation, Uncertainty, Algorithms, Failure, Maintenance