Phase Behavior of High Pressure and Temperature Gas Reservoirs: Water Solubility and Density Measurement and Modeling from (3.7 to 132) MPa and Temperatures from (422 to 478) K
Bibliographic record
Abstract
New water content and gas phase density data were measured for two synthetic light and intermediate gas mixtures from (3.7 to 132) MPa at temperatures of (422 and 478) K. The Cubic-Plus-Association equation of state (CPA EoS) was implemented in this study to reproduce the measured data. Accurate predictions were generated for the compositions of the equilibrium liquid and vapor phases by the CPA equation once the cross-association between molecules of water and light saturated hydrocarbons was considered in the phase equilibrium calculations. The performance of the CPA equation with zero binary interaction coefficients between water and hydrocarbons in reproducing the water content data was satisfactory; however the predicted hydrocarbons solubility data were poor. By coupling the CPA equation with the concept of cross-association no improvement was observed in the gas phase density predictions compared to the predicted results of the CPA equation with zero or tuned binary interaction coefficients.
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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 | 0.000 |
| 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 | 0.001 |
| 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".