Methane emissions from oil and gas production sites in Alberta, Canada
Bibliographic record
Abstract
We performed ground-based measurements (downwind, site-wide characterization) of methane emissions from older light oil and natural gas production sites in Alberta, Canada (Red Deer region, 60 measured sites). We developed a distribution of site-based methane emissions and as previously found in production regions in the United States, a small fraction of the sites account for the majority of methane emissions: 20% of the sites emit three quarters of the methane from oil and gas production. Using empirically derived emission factors, we compared an estimate of regional methane emissions, to a top-down airborne-based measurement of the same region. The airborne measurement was 35% lower, though not statistically different (4,800 ± 3,200 vs. 3,100 ± 2,200 kg CH4 h–1). In Alberta, the majority of these oil and gas emissions go unreported under current reporting requirements. Effective mitigation will most likely require frequent monitoring to identify high-emitting sites as well as leaky components that we hypothesize are also a major contributor to emissions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".