High-Pressure Solubility of Methane (CH<sub>4</sub>) and Ethane (C<sub>2</sub>H<sub>6</sub>) in Mixed Polyethylene Glycol Dimethyl Ethers (Genosorb 1753) and Its Selectivity in Natural Gas Sweetening Operations
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Bibliographic record
Abstract
The solubility of methane (CH 4 ) and ethane (C 2 H 6 ) in a mixture of polyethylene glycol dimethyl ethers (Genosorb 1753) was measured at (298.15, 313.15, and 333.15) K and at pressures up to 7700 kPa using a Jerguson equilibrium cell. The solubility data of CO 2 and light hydrocarbons (CH 4 and C 2 H 6 ) in Genosorb 1753 were compared with the solubility in other physical solvents. The results were correlated with the Peng–Robinson equation of state (PR-EOS), and the interaction parameters are reported. Among the activity coefficient models, the Non-Random Two Liquid Theory (NRTL) model fitted the data well with an absolute average deviation of 6 %. Henry’s Law constants ( H CH 4 and H C 2 H 6 ) and the excess properties (excess Gibbs free energy ( G E ), excess entropy ( S E ), and excess enthalpy ( H E )) of the liquid mixture were predicted at each temperature using the NRTL activity coefficient model over the full range of composition. The enthalpy of solution and the partial molar enthalpy of mixing for all gases were determined at infinite dilution. In addition, the enthalpies of solution for all the gases were calculated using the Clausius–Clapeyron equation. The coabsorption of hydrocarbons (CH 4 and C 2 H 6 ) with CO 2 (selectivity) was evaluated with the following function { H CO 2 /( H CH 4 · H C 2 H 6 )}. Compared to other solvents used in gas sweetening, Genosorb 1753 was found to have the highest absorption capacity for CO 2 and a low capacity for CH 4 but a higher capacity for C 2 H 6 .
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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