Risk Profiling for the Pipeline Industry: Application of Best Practices From the Aviation Industry
Bibliographic record
Abstract
Enbridge partnered with Aerosafe Risk Management to perform risk profiling to assist strategic planning activities aimed at safety performance improvement. A preliminary risk report, the first step towards an Industry Risk Profile (IRP) was the outcome. An IRP presents a strategic view of the risks within an industry sector at a point in time, requiring input from many stakeholders including operators, associations, and regulators. Most importantly, an IRP facilitates joint solutioning of risks to achieve improved safety performance and industry wide risk reduction. The preliminary risk report considered Enbridge data in addition to publically available information from associations and regulators to produce a preliminary risk report. The data gathering process considered information related to governance and oversight, compliance regime, assurance model, asset capabilities, industry operating environment, industry safety profile, and operator profile. Results of the preliminary risk report are shared in this paper, with applicability to other operators, associations, and regulators. Providing the first building block of the IRP, these results focus on how organizations like Enbridge who aspire to participate or lead industry level reform or change can use the data to reshape their corporate risk based decision making. This approach, if adopted more broadly across the industry could provide as far reaching results as those seen in the aviation, military and transport sectors. The IRP methodology and approach developed by Aerosafe in the mid-2000s, is now well entrenched in the aviation industry and is used by regulators and industry alike to create a pathway for industry level risk reduction and notable reform. The use of an IRP is considered best practices by the aviation, transport and regulatory sectors in the USA, Canada, Australia and New Zealand and after being in use in some sectors of aviation around the globe since 2008, the results are now measurable. These results provide a strong and clear link between safety performance improvement and the management and reduction of the industry risk profile.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.109 | 0.135 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.019 | 0.008 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.018 | 0.013 |
| Open science | 0.008 | 0.012 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".