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Record W1988663017 · doi:10.1115/ipc2012-90046

Trends on Integrity Management Programs (IMP) and Management Systems (MS) Audit and Incident Findings

2012· article· en· W1988663017 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
FieldEngineering
TopicStructural Integrity and Reliability Analysis
Canadian institutionsBC Hydro (Canada)Canada Energy Regulator
Fundersnot available
KeywordsAuditIntegrity managementAccountingBusinessPipeline (software)Process managementComputer scienceOperations managementEngineering

Abstract

fetched live from OpenAlex

Over the past 12 years, as directed by federal and provincial regulations, Canadian pipeline companies have been formally developing and implementing Integrity Management Programs (IMPs). Since 1999, IMPs have been a requirement in the Canadian consensus industry standard CSA Z662. Furthermore, since the release of CSA Z662 Annex N in 2005, both the BC OGC and the Alberta Energy Resources Conservation Board (ERCB) (Canadian provincial regulators) have made CSA Z662 Annex N mandatory for their regulated companies. Annex N incorporates key management system (MS) elements such as a company’s policy and commitment, responsibilities, competency, planning, management of change, review and evaluation. This paper presents the findings of IMP audits conducted by the NEB and BC OGC regulators during the period of 2001–2011. This paper also includes the findings of NEB’s analysis of pipeline incidents that occurred between 2005 and 2009 and how these incident findings correlate to the audit findings. This paper is structured as follows: • Integrity management regulatory frameworks • IMP and MS elements and their interconnection • Audit findings from the NEB and the BC OGC • Incident findings from the NEB • Analysis of the audit findings and their correlation to incidents • Trends on IMP and MS audit and incident findings The paper provides a general understanding of the findings and their trends on pipeline integrity management and on incidents in terms of IMP/MS elements as described in Table 1. The results from this study may help stakeholders to determine strategies to increase the adequacy, implementation and effectiveness of pipeline integrity management. This paper does not include any company-specific information nor results and conclusions from any particular audit report or incident.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score0.680

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)0.0000.000

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 head0.017
GPT teacher head0.236
Teacher spread0.220 · 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