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Record W3021420889 · doi:10.5006/c2019-13199

External Corrosion Behavior of Oil Pipelines with Polyethylene Coating under Pressure Fluctuations

2019· article· en· W3021420889 on OpenAlexaff
Mengshan Yu, Yanping Li, Trevor Place, Adrian Gosselin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Failure Mechanisms
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsPipeline transportCorrosionMaterials sciencePolyethyleneCoatingPetroleum engineeringMetallurgyComposite materialForensic engineeringEnvironmental scienceEngineeringEnvironmental engineering

Abstract

fetched live from OpenAlex

Abstract External corrosion on buried pipe steels has been demonstrated to be a major threat to pipeline integrity. Although it has been extensively investigated and well understood electrochemically, there is no particular corrosion rate model that is widely accepted by industry due to the complexities associated with coating performance, and heterogeneity of the soil environment (including bacteria, drainage, bulk resistivity, CP level, etc.). This paper demonstrates that the severity of external corrosion on Polyethylene (PE) tape coated oil pipe is exacerbated by the proximity to upstream (U/S) pump stations, and suggests mechanistic explanations related to pressure fluctuations. External corrosion features reported by the most recent In-Line Inspection (ILI) Ultrasonic Wall Measurement (UTWM) tools for three oil pipelines were correlated with the distance to U/S pump stations. UTWM ILI data is used as it includes features that are located under repair sleeves. These three oil pipelines with PE coating were investigated for a total length of approximately 3100 km. The pipelines have been in service for more than 40 years. One of the pipelines has experienced reversed flow operation. Analysis of the results shows that external corrosion features with depths < 20% Wall Thickness (WT) reported by UTWM tools are distributed uniformly along the pipelines. However, a clear increase in the frequency of corrosion features with depths >= 20%WT is seen within 10 km from the U/S pump station. There is a pronounced increase in the density of deeper feature classes in the same region. This phenomenon was also observed on the third oil pipeline with reversed flow directions. In addition, this trend is further validated by the distribution of field excavations triggered by external corrosion. Based on these data, it is evident that the frequency and severity of external corrosion on these tape coated pipelines is positively correlated to U/S pump station proximity. Possible mechanisms may include mechano-electrochemistry, and pressure fluctuations that facilitate electrochemical processes and/or PE tape coating damage: 1) Pressure fluctuations increase dislocation density and thus electrochemical potential ahead of the corrosion tip due to stress concentration. 2) Pressure fluctuations may refresh the electrochemical environments against the pipe surface and thus exacerbate corrosion. 3) The PE coating damage is accelerated (mechanically) by pressure fluctuations. The findings in this paper could help External Corrosion Direct Assessment (ECDA) locate severe corrosion features, especially for lines that are non-piggable. Also, these discoveries can provide guidance for future research and pipeline integrity management with external corrosion.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.225
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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