Rise Velocity of Live-Oil Droplets in Deep-Sea Oil Spills
Bibliographic record
Abstract
Numerous models have been developed for calculating the fate of crude oil and natural gas plumes after deep-sea oil spills. One of the most important input parameters for these models is the rise velocity of fluid particles under the extreme environmental conditions in the deep sea (high pressure, low temperature). Consideration of these conditions in combination with the respective fluid properties, especially gas solubility in released crude oil under high pressure, is crucial for both droplet formation at the wellhead and drop rise through the water column. A model for calculation of oil-droplet rise velocities under consideration of the pressure-dependent gas-in-oil solubility is presented and validated. For this purpose, the concept of “internal degassing” that leads to a higher buoyancy of crude-oil droplets and thus an accelerated drop rise is introduced. Calculation of three different drop-rise scenarios showed high impact of this effect. For the first time high-pressure experiments using gas-saturated crude oil and artificial seawater in a counter-current flow channel were conducted. Optical recording and analysis of droplet volume during pressure release confirm the significance of predicted effect of degassing. The interplay of degassing, nucleation, and mass transfer is discussed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".