Measurement and Correlation of Viscosity and Density for Compressed Athabasca Bitumen at Temperatures Up to 200ºC
Bibliographic record
Abstract
The heavy-oil- and bitumen-recovery processes mainly intend to reduce the oil viscosity at the reservoir; therefore, the production and pipeline transportation of such viscous fluids require specific data on the viscosity and density of raw bitumen. In this study, the thermophysical properties of Athabasca bitumen were reported over a wide range of temperatures and pressures applicable for both in-situ-recovery methods and pipeline transportation of oil. The measurements were taken with our designed phase-behaviour experimental apparatus, capturing the density and viscosity of Athabasca bitumen accurately at temperatures varying from ambient temperature up to 200C and at pressures up to 10 MPa. The experimental density data for bitumen were correlated within 60.7 kg/m3 with a newly developed algorithm to obtain the coefficients of correlation equations, considering the influence of pressure and temperature on the density. The viscosity data are correlated reasonably (within 69%) over the studied conditions with two correlations, which include two adjustable parameters each.
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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".