Three‐parameter cubic equation of state for pure components of heavy oils
Bibliographic record
Abstract
Abstract A three‐parameter cubic equation of state for pure hydrocarbons is proposed to model PVT properties of heavy hydrocarbons found in heavy oils. Thirty hydrocarbons up to C40 and some commonly found (associated) non‐hydrocarbons in heavy oils have been used to regress the parameters. Predicted results from the proposed equation for the liquid density, vapour pressure, saturated liquid density, and saturated vapour density have been compared with the widely used Peng–Robinson (PR), Soave–Redlich–Kwong (SRK), and Patel and Teja (PT) equations of state. With the increase in carbon number in hydrocarbon, the % average absolute errors in liquid density, vapour pressure, and saturated liquid density prediction using PR, SRK, and PT equations of state were found to increase, whereas the proposed equation shows consistency in the prediction, with a % average absolute error of 2.5% only.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".