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Record W2064136676 · doi:10.1115/ipc2008-64541

Pipeline Construction Practices Risk Assessment Methodology

2008· article· en· W2064136676 on OpenAlex
Robert Lazor

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStructural Integrity and Reliability Analysis
Canadian institutionsTransCanada (Canada)
Fundersnot available
KeywordsWeldingPipeline (software)EngineeringReliability engineeringNondestructive testingScope (computer science)Risk assessmentComputer scienceRisk analysis (engineering)Construction engineeringMechanical engineering

Abstract

fetched live from OpenAlex

This paper examines how changes to pipeline construction specifications/practices can impact both technical and economic considerations of the overall project. The main topics of concern fall under the general headings of joining design, welding, and nondestructive examination (NDE). The different options for the project-specific construction specifications include a discussion of recommended construction practices, and includes an assessment of the risks associated with the different construction alternatives. The following six specific issues were considered significant to the risk of construction-related issues and these were the focus of this scope of work: • Assess the design requirements for joining pipe with different wall thickness, and specifically the use of counterbored and tapered transition pieces; • Examine the impact of specific welding-related construction activities such as release of internal line-up clamps used for welding; • Examine the need for hot pass deposition before removing the internal line-up clamp; • Examine the delay time between weld passes and the total time to complete each weld; • Investigate delay time before completion of weld NDE; • Consider the differences between the use of gamma and x-ray NDE, and the likelihood of detecting weld flaws. A semi-quantitative risk assessment methodology has been developed to calculate the likelihood of failure from planar defects in girth welds. The failure frequencies of girth welds have been based on industry experience, and combined with the likelihood of detection using nondestructive examination techniques, it is possible to show the likelihood of failure during either hydrostatic testing or subsequent service of the pipeline. The results of such an analysis can be used to evaluate the risks associated with changes to construction practices along the pipeline right-of-way.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 head0.078
GPT teacher head0.342
Teacher spread0.264 · 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