Characteristics of water holdup for oil and water mixture flows in horizontal, vertical, and inclined pipes
Bibliographic record
Abstract
Abstract In this work, the water holdup and slippage for oil and water mixture flows in horizontal, vertical, and inclined pipes have been investigated. A large group of experimental data was collected from 21 different sources covering the whole range of inclination angles from −90° to 90° to reveal the holdup characteristics and develop the drift velocity model. The results show that in horizontal flows the water holdup is dependent to the flow pattern, and yet in vertical flows the water holdup is similar to the input one and the flow direction shows a few influences on the holdup. In inclined flows, the Froude numbers are relatively independent of inclination angles when the angles are greater than 30°. Therefore, the changes of water holdup in the pipe with small inclination angles are more severe than those with large inclination angles. In addition, a satisfactory agreement between predicted and experimental holdups substantiates the general validity of the proposed drift velocity correlation for oil and water flows, especially for those with large inclination angles.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".