Pull Testing and Statistical Evaluation of ILI Capabilities on SSWC and Other Anomalies

Abstract TC Energy (TCE) operates and maintains natural gas, refined products, and crude oil pipelines in the USA, Canada, and Mexico. The network includes more than 93,000 kilometers (58,000 miles) of gas pipelines, transporting more than 30% of the North American natural gas demand. As part of its Integrity Management Program, TCE identified Selective Seam Weld Corrosion (SSWC) as one of the significant threats for certain seam weld types in their pipeline system. It also identified In-Line Inspection as the preferred methodology to address it. In that regard, multiple ILI vendors have claimed capabilities in detecting, identifying, and sizing SSWC features, which require careful evaluation and assessment. A pull-through testing exercise was designed to evaluate and validate those capabilities statistically. The evaluation aims to test multiple ILI systems from different ILI vendors for SSWC and other threats that have yet to be validated and to confirm the detection capabilities for specific pipe attributes. The final objective is to have an array of ILI vendors and technologies to address each threat cost-effectively. The 24-inch diameter string constructed for this project included joints with synthetic and natural features, including SSWC, pits at the SW and in the pipe body, axial and circumferential slots in the pipe body, individual cracks, crack colonies, laminations, wrinkle bends, hard spots, dents with gouges and plain dents. Five ILI systems from five ILI technology providers were tested. The project included the pipe acquisition, the testing string design, the defect creation, the NDE and Lab evaluation of the reference data, the pull-through testing, the ILI vs Reference feature matching, and the statistical analysis of the results. This paper presents the results of this study.

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Publication Details

Published
2024-09-23
DOI
https://doi.org/10.1115/ipc2024-134060
Primary Topic
Superconducting Materials and Applications
Type
article
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article

Pull Testing and Statistical Evaluation of ILI Capabilities on SSWC and Other Anomalies

Katina Jimenez, Pablo Cazenave, Zain Al-Hasani, Ryan Milligan
Superconducting Materials and Applications
article

Pull Testing and Statistical Evaluation of ILI Capabilities on SSWC and Other Anomalies

Katina Jimenez, Pablo Cazenave, Zain Al-Hasani, Ryan Milligan
article en

Abstract

Abstract TC Energy (TCE) operates and maintains natural gas, refined products, and crude oil pipelines in the USA, Canada, and Mexico. The network includes more than 93,000 kilometers (58,000 miles) of gas pipelines, transporting more than 30% of the North American natural gas demand. As part of its Integrity Management Program, TCE identified Selective Seam Weld Corrosion (SSWC) as one of the significant threats for certain seam weld types in their pipeline system. It also identified In-Line Inspection as the preferred methodology to address it. In that regard, multiple ILI vendors have claimed capabilities in detecting, identifying, and sizing SSWC features, which require careful evaluation and assessment. A pull-through testing exercise was designed to evaluate and validate those capabilities statistically. The evaluation aims to test multiple ILI systems from different ILI vendors for SSWC and other threats that have yet to be validated and to confirm the detection capabilities for specific pipe attributes. The final objective is to have an array of ILI vendors and technologies to address each threat cost-effectively. The 24-inch diameter string constructed for this project included joints with synthetic and natural features, including SSWC, pits at the SW and in the pipe body, axial and circumferential slots in the pipe body, individual cracks, crack colonies, laminations, wrinkle bends, hard spots, dents with gouges and plain dents. Five ILI systems from five ILI technology providers were tested. The project included the pipe acquisition, the testing string design, the defect creation, the NDE and Lab evaluation of the reference data, the pull-through testing, the ILI vs Reference feature matching, and the statistical analysis of the results. This paper presents the results of this study.

Openalex Percentile: Top 79%
Superconducting Materials and Applications
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