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Proceedings Papers

Continuing Development of Metal-Loss Severity Criteria, Including Width Effects

Brian N. Leis

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A025, September 28–30, 2020

Paper No: IPC2020-9575

DOI: https://doi.org/10.1115/IPC2020-9575

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Topics: Corrosion, Electromagnetic scattering, Metals

Proceedings Papers

Peer Review of the Plausible Profiles Corrosion Assessment Model

John Kiefner

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A002, September 28–30, 2020

Paper No: IPC2020-9254

DOI: https://doi.org/10.1115/IPC2020-9254

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Topics: Corrosion, Failure, Pipelines, Blades, Pressure, Stress, Teams, Electromagnetic scattering

Proceedings Papers

Axial Compressive Loading Capacity of Pressurized Energy Pipeline With Corrosion Defects

Bing Liu, Xiao Tan, Dinaer Bolati, Hang An, Jinxu Jiang

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A027, September 28–30, 2020

Paper No: IPC2020-9616

DOI: https://doi.org/10.1115/IPC2020-9616

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Topics: Buckling, Corrosion, Pipelines

Proceedings Papers

Development of a Burst Capacity Model for Corroded Pipelines Under Internal Pressure and Axial Compression Using Artificial Neural Network

Shulong Zhang, Wenxing Zhou, Shenwei Zhang

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A028, September 28–30, 2020

Paper No: IPC2020-9631

DOI: https://doi.org/10.1115/IPC2020-9631

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Topics: Artificial neural networks, Compression, Corrosion, Finite element analysis, Pipelines, Pressure

Proceedings Papers

Assessing Soil Corrosivity for Buried Structural Steel

Yannick Beauregard, Andrea Mah

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A005, September 28–30, 2020

Paper No: IPC2020-9285

DOI: https://doi.org/10.1115/IPC2020-9285

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Topics: Soil, Structural steel, Corrosion protection, Corrosion, Steel, Coatings, Design, Earth resistance, Engineering standards, Industrial research

Proceedings Papers

Failure Pressure Prediction of Cracks in Corrosion Defects Using XFEM

Xinfang Zhang, Allan Okodi, Leichuan Tan, Juliana Leung, Samer Adeeb

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A006, September 28–30, 2020

Paper No: IPC2020-9312

DOI: https://doi.org/10.1115/IPC2020-9312

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Topics: Corrosion, Failure, Fracture (Materials), Pressure

Proceedings Papers

Characterizing Corrosion Defects With Apparent High Growth Rates on Transmission Pipelines

Thomas Dessein, Brent Ayton, Travis Sera

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A024, September 28–30, 2020

Paper No: IPC2020-9572

DOI: https://doi.org/10.1115/IPC2020-9572

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Topics: Accuracy and precision, Corrosion, Inspection, Pipelines, Simulation

Proceedings Papers

Plausible Profile (Psqr) Corrosion Assessment Model: Refinement, Validation and Operationalization

Shenwei Zhang, Jason Yan, Shahani Kariyawasam, Terry Huang, Mohammad Al-Amin

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A015, September 28–30, 2020

Paper No: IPC2020-9448

DOI: https://doi.org/10.1115/IPC2020-9448

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Topics: Corrosion, Pipelines, Pressure

Proceedings Papers

Life Expectancy of Decommissioned Pipelines Under External Corrosion: Probabilistic Modeling

Chee Wong, Markus R. Dann, Ron Wong

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A008, September 28–30, 2020

Paper No: IPC2020-9329

DOI: https://doi.org/10.1115/IPC2020-9329

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Topics: Corrosion, Modeling, Pipelines, Soil

Proceedings Papers

Managing the Threat of Selective Seam Weld Corrosion Using a State of the Art ILI System

Christopher Davies, Simon Slater, Christoper De Leon

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A016, September 28–30, 2020

Paper No: IPC2020-9465

DOI: https://doi.org/10.1115/IPC2020-9465

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Topics: Corrosion, Pipes, Metals, Inspection, Materials properties, Pipelines, Regulations, American Petroleum Institute, Cracking (Materials), Fracture (Process)

Proceedings Papers

Full-Scale Fatigue Testing of Crack-in-Dent and Framework Development for Life Prediction

Udayasankar Arumugam, Ming Gao, Ravi Krishnamurthy, Mures Zarea

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A034, September 28–30, 2020

Paper No: IPC2020-9709

DOI: https://doi.org/10.1115/IPC2020-9709

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Topics: Fatigue testing, Fracture (Materials), Fatigue cracks, Pipelines, Corrosion, Pressure, Stress, Cycles, Fatigue, Fracture (Process)

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

Dent Assessment and Management: API Recommended Practice 1183

Aaron Dinovitzer, Sanjay Tiku, Mark Piazza

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A035, September 28–30, 2020

Paper No: IPC2020-9724

DOI: https://doi.org/10.1115/IPC2020-9724

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Topics: American Petroleum Institute, Pipelines, Pressure, Corrosion, Fracture (Materials), Maintenance, Pipes, Rocks, Engineering models, Failure

Proceedings Papers

When Metals and Microbes Meet: Preventing Microbial Corrosion in Crude Oil Transmission Pipelines

Lisa M. Gieg, Mohita Sharma, Trevor Place, Jennifer Sargent, Yin Shen

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A065, September 28–30, 2020

Paper No: IPC2020-9746

DOI: https://doi.org/10.1115/IPC2020-9746

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Topics: Corrosion, Crude oil, Metals, Microorganisms, Pipelines

Proceedings Papers

Achieving Consistent Safety by Using Appropriate Safety Factors in Corrosion Management Program

Mohammad Al-Amin, Shenwei Zhang, Shahani Kariyawasam, Jason Z. Yan, Tammie Matchim

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A058, September 28–30, 2020

Paper No: IPC2020-9470

DOI: https://doi.org/10.1115/IPC2020-9470

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Topics: Corrosion, Metals, Reliability, Safety

Proceedings Papers

A Case Study of Predicting Tensile Strain Capacity of In-Service Pipelines

Junfang Lu, Ali Fathi, Nader Yoosef-Ghodsi, Debra Tetteh-Wayoe, Mike Hill

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, V002T06A001, September 28–30, 2020

Paper No: IPC2020-9310

DOI: https://doi.org/10.1115/IPC2020-9310

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Topics: Design, Hazards, Pipelines, Construction, Stress, Materials properties, Pipes, Welding, Corrosion, Damage

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

A Feature-Specific Probabilistic Assessment of Pipeline Defect Size From ILI MFL Signal Using Convolutional Neural Network

Jenny Jing Chen, Stephen Westwood, David Heaney

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A068, September 28–30, 2020

Paper No: IPC2020-9331

DOI: https://doi.org/10.1115/IPC2020-9331

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Topics: Artificial neural networks, Corrosion, Machine learning, Pipelines, Signals

Proceedings Papers

Dense and Sparse Stress Corrosion Crack Initiation in an X65 Pipeline Steel With Mill Scale

Shidong Wang, Lyndon Lamborn, Karina Chevil, Erwin Gamboa, Weixing Chen

Proc. ASME. IPC2020, Volume 1: Pipeline and Facilities Integrity, V001T03A061, September 28–30, 2020

Paper No: IPC2020-9510

DOI: https://doi.org/10.1115/IPC2020-9510

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Topics: Pipelines, Steel, Stress corrosion cracking, Fracture (Materials), Density, Corrosion, Pipeline integrity, Pipes, Polishing, Reliability

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

2 3 4 5

NARROW

Continuing Development of Metal-Loss Severity Criteria, Including Width Effects

Peer Review of the Plausible Profiles Corrosion Assessment Model

Axial Compressive Loading Capacity of Pressurized Energy Pipeline With Corrosion Defects

Development of a Burst Capacity Model for Corroded Pipelines Under Internal Pressure and Axial Compression Using Artificial Neural Network

Assessing Soil Corrosivity for Buried Structural Steel

Failure Pressure Prediction of Cracks in Corrosion Defects Using XFEM

Characterizing Corrosion Defects With Apparent High Growth Rates on Transmission Pipelines

Plausible Profile (Psqr) Corrosion Assessment Model: Refinement, Validation and Operationalization

Life Expectancy of Decommissioned Pipelines Under External Corrosion: Probabilistic Modeling

Managing the Threat of Selective Seam Weld Corrosion Using a State of the Art ILI System

Full-Scale Fatigue Testing of Crack-in-Dent and Framework Development for Life Prediction

Microwave Chipless Resonator Strain Sensor for Pipeline Safety Monitoring

Dent Assessment and Management: API Recommended Practice 1183

When Metals and Microbes Meet: Preventing Microbial Corrosion in Crude Oil Transmission Pipelines

Achieving Consistent Safety by Using Appropriate Safety Factors in Corrosion Management Program

A Case Study of Predicting Tensile Strain Capacity of In-Service Pipelines

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

A Feature-Specific Probabilistic Assessment of Pipeline Defect Size From ILI MFL Signal Using Convolutional Neural Network

Dense and Sparse Stress Corrosion Crack Initiation in an X65 Pipeline Steel With Mill Scale

A Prudent Approach to Evaluate Dig Effectiveness

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