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Record W2565309545 · doi:10.1115/ipc2016-64161

Knowledge Gained From a Five-Year Regulatory Compliance Assurance Process for Operators’ Pipeline Integrity Management Programs

2016· article· en· W2565309545 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicDiverse Research and Applications
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsIntegrity managementConformity assessmentProcess managementProcess (computing)Risk managementAuditRisk analysis (engineering)Quality assuranceDocumentationEnforcementCommissionProcess safety managementEngineeringOperations managementBusinessComputer securityPipeline (software)Computer scienceAccounting

Abstract

fetched live from OpenAlex

Pipelines are the most efficient and common infrastructure for the transportation of oil and gas. For Canadian pipeline operators, CSA Z662 Annex N is considered the industry standard for the development and implementation of integrity management programs (IMP) which include essential elements of policy and commitment; planning (goals, targets, organizational structure, roles and responsibilities, hazard identification, risk assessment and control); implementation (management of change, training and competency, documentation and record management); checking and corrective action (inspection, measurement and monitoring, investigating and reporting incidents, and internal audits); and management review elements over the lifecycle of a pipeline asset. In 2006, the British Columbia Oil and Gas Commission (Commission) made CSA Z662 Annex N mandatory for pipeline operators within its regulation. This paper provides an overview of the Commission’s compliance assurance process through the assessment of British Columbia’s pipeline operators’ IMPs and presents findings from the first five year (2011–15) assessment cycle. The analysis and trends of findings are presented in detail along with tracking of corrective actions. This paper also discusses knowledge gained from the compliance assurance process, along with the areas of proposed improvement to the current process for the next five year cycle. This includes alignment of the assessment process with the management system approach (using a risk based assessment process), improving regulation and the processes of compliance assurance and enforcement.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score0.511

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.347
Teacher spread0.268 · 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

Quick stats

Citations1
Published2016
Admission routes2
Has abstractyes

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