Assessment of the Equivalent Sandbed Roughness and the Interfacial Friction Factor in Hole Cleaning With Water in a Fully Eccentric Horizontal Annulus
Bibliographic record
Abstract
Summary In this study, we have investigated the turbulent flow of water over the sandbed deposited in a horizontal eccentric annulus. The primary objective was to determine the effect of the presence of a sandbed on the parameters strongly involved in the bed-erosion process, such as the local fluid-velocity profiles near the interface, the equivalent sandbed roughness, and the average and the interfacial friction factors. The particle-image-velocimetry (PIV) technique was used to measure the velocity distribution at the water/sandbed interface. The bedload transport of particles caused an abrupt increase in the equivalent sandbed roughness. Analyses of the velocity profiles in the wall units confirmed that the sandbed roughness is variable and can be several times greater than the mean particle size. The interfacial ( fi) and the average friction factors ( fa) were evaluated and compared with flow under the stationary-bed and the bedload-transport conditions. The interfacial friction factor increased dramatically at the onset of the bed erosion. We have also found that depending on the bed height (or the surface area of the bed at the interface), the interfacial friction factor can be significantly different from the average friction factor. The results presented here provide much-needed experimental data for the validation of the mechanistic, semimechanistic (empirical), and numerical [computational-fluid-dynamics (CFD)] models of the bed erosion process. The major conclusion of the study is that the difference between the average and interfacial friction factors should be taken into account for more-realistic multilayer modeling of the hole cleaning.
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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 | 0.000 | 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 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".