The Assessment of Oil Sand Conditioning Using Droplet Size Analysis
Why this work is in the frame
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Bibliographic record
Abstract
The transportation of oil sand via slurry pipeline reduces downstream processing costs because some separation of bitumen from the sand/clay matrix occurs during transit (conditioning). However, there is currently no real-time method for assessing the extent of conditioning inside a pipeline. We investigated bitumen droplet size analysis as a technique for determining the extent of conditioning in a slurry line by conducting field tests at Syncrude Canada Ltd.'s oil sand operation in Fort McMurray, Alberta. Slurry was withdrawn from two different pipelines at five specially designed sampling stations and the liberated bitumen droplets were allowed to float through a water-filled viewing chamber. The droplets were videotaped and analyzed using particle sizing software to determine the average droplet size and shape. This data was correlated to feed grade, slurry temperature and transport distance to determine if a relationship existed between the physical slurry properties and the droplet data. Results suggest that droplet size analysis can be used to assess the extent of conditioning inside an oil sand slurry pipeline in real time. This technology could be incorporated into the control scheme of an oil sand processing circuit to improve separation efficiency and reduce costs.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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