Natural Soils-based Oxidation Mitigates Methane Leakage from Integrity Compromised Legacy Wells
Bibliographic record
Abstract
An increasing number of legacy petroleum wells are reported to suffer integrity failure, releasing methane (CH4) into the subsurface and atmosphere. Subsurface released methane is reactively transported towards ground surface with a portion converted to carbon dioxide by soil microbes. Currently, the extent to which fugitive CH4 oxidation occurs, including microbial taxa responsible and controlling parameters are poorly understood. Here, we examined fugitive CH4 leakage at a legacy well in the Montney region of British Columbia, Canada and find up to 90% is oxidised at rates as high as 230 g of CH4 /m2 of soils/day during summer. Meanwhile, a profound difference in microbiome between soils at the wellhead and background was observed, while modelling suggests that prevailing seasonal temperature will moderate CH4 oxidation extent. Overall, we find that filtration of fugitive CH4 through natural soils can significantly reduce emissions of CH4 and mitigate climate impacts from such sources
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".