Experimental Modelling of Black Carbon Emissions from Gas Flares in the Oil and Gas Sector
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
Experiments examined the effects of flow conditions and fuel chemistry on the soot emissions from turbulent buoyant diffusion flames burning methane-dominated alkane fuels mixtures representative of upstream oil and gas sector flares. Soot (elemental carbon) in the captured plumes was measured via thermal-optical analysis. Yields were calculated within precisely-quantified uncertainties following a mass-balance procedure using CO2, CO, and CH4 gas analyzers. Experiments considered six flare diameters (12.7-76.2 mm), exit velocities up to 9.5 m/s, and thirteen multi-component fuel mixtures. Reynolds number times Froude number squared was shown to be a useful criterion to separate differing soot emissions trends which were aligned with the transition buoyant and transition shear sub-regimes of turbulent buoyant flames as defined by Delichatsios (1993).
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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 | 0.000 | 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 | 0.000 | 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