Bibliographic record
Abstract
based on the adiabatic cooling of swirling gas fl ow in a supersonic nozzle is effective in sep-arating and processing natural gas components. A pilot test facility in Alberta, Can-ada, has shown that the 3-S separation device uses 10-20 % less compressor power than plants that use a Joule-Thomson valve or turboexpander, based on the same extraction level. Potential applications for 3-S separa-tors in gas processing plants include: • Gas preparation for transportation. • LPG extraction, shallow cut, and deep cut. • Offshore gas separation and treat-ment facilities. • CO 2 extraction, ethane recovery, and LNG applications. 3-S separators provide a cost-effec-tive and highly effi cient extraction pro-cess for C 3 + gas components combined with a potential reduction in energy consumption. Laval nozzle Existing approaches to obtaining low temperatures are based on the Joule-Thomson effect and use of gas-expan-sion equipment. The gas processing industry developed and has used them extensively. Recent research has produced new technologies based on adiabatic cool-ing, which results from gas expan-sion in a supersonic nozzle. Cryogenic temperatures result because part of gas enthalpy transforms to kinetic energy, which can be reused to increase the pressure in the system of supersonic and subsonic diffusers. The nozzle’s working section lique-fi es target components. It experiences signifi cantly lower pressures and tem-peratures than would occur at the facil-ity exit without the addition of external energy. Fig. 1 compares the degree of natural gas cooling at the same differential
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.655 | 0.351 |
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".