Experimental Modelling of Black Carbon Emissions from Gas Flares in the Oil and Gas Sector
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 (12.7-76.2mm), 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).Soot emission rates in each regime were well-predicted by new empirical models based on flame volumetric flow and global mixing rate and were lower than emission factors used in current pollutant inventories.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".