PR-396-143702-R01 Feasibility of a Petroleum Leak Detection Cable Utilizing Polymer Absorption Sensor
Bibliographic record
Abstract
Several high-profile new pipeline projects in Canada and the USA have triggered investigation of auxiliary leak detection systems outside of the pipeline. Although external leak detection technologies have existed for decades, a comprehensive solution that is widely applicable for both new and existing pipeline deployment still does not exist. The goal of PRCI project PL-1H was to evaluate the feasibility of interconnecting multiple underground Polymer Absorption (PA) hydrocarbon sensor nodes through a single cable that provides both power and data communication inductively to each node. Installing the cable alongside a pipeline would create a continuous underground sensor network that could detect the migrating hydrocarbons from the leak and therefore would have excellent sensitivity for underground hydrocarbon releases. PL-1H developed a comprehensive theoretical model of the cable, created a system topology, established manufacturability, and constructed a proof of concept that was tested under a variety of conditions. The results indicate that the cable concept is technologically feasible and could be practical. It was concluded that if commercialized, the solution could help prepare the industry for the future by delivering a new leak detection tool with small leak detection capabilities.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.007 |
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".