Viscosity Model for Petroleum Gases
Bibliographic record
Abstract
Abstract The production processes for petroleum gases employ a broad range of simulation packages to reduce capital, time, and cost associated with actual recovery and pipeline transportation. Viscosity model is an important component of these packages. In this work, we have presented an empirical model for predicting the viscosity of petroleum gases, developed from the three-parameter Yaws equation. New constants were derived for various petroleum gases, as well as for gaseous carbon dioxide. Results obtained with the new model were compared with the viscosity predictions from the Yaws model, and the Miadonye and Clyburn correlation. For four petroleum gases and carbon dioxide at temperatures of 110 K to 1,500 K, the model gave an excellent viscosity prediction with overall average absolute deviations of 0.34% and 0.98%, respectively. The model is simple to incorporate into design and simulation packages, and more accurate than any correlation currently used in petroleum industry for predicting the viscosities of petroleum gases.
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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 | 0.001 | 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".