Application of a capacitance sensor for monitoring water lubricated pipeline flows
Why this work is in the frame
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Bibliographic record
Abstract
Lubricated pipe flow (LPF) is a pipeline transportation technology for highly viscous oils. In this technology, a viscous oil‐core is lubricated by an enveloping water annulus. A major technical challenge for LPF is the flow instability caused by a fouling layer of viscous oil on pipe wall. To monitor the thickness of this layer, application of a capacitance sensor has been investigated. The experiments were conducted with two laboratory‐scale sensors: a bench‐top concentric pipe spool set‐up and a rectangular flow cell. The experimental study was complemented with simulations obtained using COMSOL Multiphysics. The results from these experimental and numerical studies are in good agreement. The current research suggests that capacitance sensors similar to the ones described here can be used to monitor the thickness of a wall‐fouling layer. This monitoring will facilitate the reliable operation of LPF pipelines.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it