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Record W1965449711 · doi:10.1115/ipc2002-27375

Study of High Vapour Pressure Pipeline Safety

2002· article· en· W1965449711 on OpenAlexaffabout
David W. Grzyb, Michael F. Hallihan

Bibliographic record

Venue4th International Pipeline Conference, Parts A and B · 2002
Typearticle
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsAlberta Energy
Fundersnot available
KeywordsPipeline transportPipeline (software)Hazardous wasteHigh pressureForensic engineeringEngineeringPetroleum engineeringEnvironmental scienceComputer scienceReliability engineeringWaste managementMechanical engineering

Abstract

fetched live from OpenAlex

The Alberta Energy and Utilities Board (EUB) recently initiated a study to examine and evaluate whether existing regulations and standards adequately ensure the safe operation of High Vapour Pressure (HVP) pipelines in Alberta. An engineering consultant was contracted to review the performance history of HVP pipelines, determine the predominant failure modes and causes, compare Alberta performance against other jurisdictions, and provide a report containing recommendations for improvements. The consultant concluded that the predominant cause of HVP pipeline failures has been interference from outside parties, followed equally by material deficiencies and corrosion. The report also concluded that HVP pipelines in Alberta have been operating at a failure frequency approximately 30 per cent less than the failure frequency of hazardous liquids pipelines in the United States. The paper first provides a brief description of the role of the EUB in Alberta, followed by a summary of HVP pipeline performance. A description of the methodology used to conduct the study follows, along with the conclusions and recommendations made by the consultant. A process for the verification of the proposed changes by the affected stakeholders is then described, followed finally by a description of how any proposed regulatory changes may be completed.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score0.703

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 head0.028
GPT teacher head0.239
Teacher spread0.211 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2002
Admission routes2
Has abstractyes

Explore more

Same venue4th International Pipeline Conference, Parts A and BSame topicNuclear and radioactivity studiesFrench-language works237,207