Gas- and Particulate-Phase Emissions from Lab-Scale Flares Experiencing Liquid Carryover
Bibliographic record
Abstract
At upstream oil and gas production sites, separators frequently allow saline produced water aerosols to be entrained into flares, a phenomenon known as liquid carryover.This study assesses the impacts on gas-and solid-phase emissions from adding saline solutions to a lab-scale flare.Atomized aqueous solutions containing NaCl, KCl, or NaOH were added to a vertical turbulent diffusion flame burning a hydrocarbon gas mixture representative of flares in Alberta, Canada.The combustion products were analyzed to quantify emission rates of major pollutants and optical properties of the particulate.Over the range of test conditions yields of gas-phase pollutants increased by as much as fortyfold with added NaCl, while black carbon emissions increased by up to three times.Emitted particulate had a greater absorption capacity contributing to an increase in expected radiative forcing effects in the climate.Empirical guidelines for liquid separation requirements to avoid severe increases in emissions were developed.
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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 | 0.000 | 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".