Application of interactive threat matrix induced system dynamics model to determine risk probability and resilient policy measures for CO2 pipelines
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.
Bibliographic record
Abstract
In the sphere of decarbonization, a comprehensive CO 2 (Carbon dioxide) pipeline risk analysis framework is crucial for resilient long-term operations. Canadian Standards Association (CSA) updated regulations Z662:23 requires operators and regulatory bodies to develop quantitative risk assessment methodologies with probability and consequence analysis. Thus, this study is aimed at determining risk probability of CO 2 pipelines across Canada, while developing a simulation tool for consecutive policy analysis. The process involves integration of threat matrix from real gas pipeline incident dataset, long-short term memory (LSTM) model and system dynamics (SD) simulation. Baseline simulation represents a risk probability value of 5.89 with a synthetic integrity of 55.1 % by 2055. Sensitivity analysis, calibration, scenario analysis and structural validity have been performed to check the numerical boundary adequacy, accuracy and variability of the built SD model. Among two policies simulated, Policy 2 has been found to be more resilient, as it restrained the risk probability to a value of 2.54 with an increased 77.4 % pipeline integrity. The developed methodology is a simplified risk probability analysis tool for CO₂ pipelines, with extensible features to incorporate further consequences and economic analysis.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it