Possible Effects of a Natural Silica-Based Sand on the Thermodynamicand Kinetic Behaviour of CH4 and CO2 Hydrate Formation.
Bibliographic record
Abstract
Natural gas hydrate is one of the most promising energy source present worldwide; however, before make its exploitation feasible for large-scale applications, several improvements, in terms of process efficiency, are required.In this article, a specific silicabased natural sand, coming from the Mediterranean seafloor, was used as host for hydrate structures, produced in laboratory both in presence of methane or carbon dioxide.For experiments were carried out and thermodynamic and kinetic parameters were continuously monitored during hydrate formation.Then results were discussed and compared with ideal values for hydrate formation, easily found in literature.That specific sand was found to act as inhibitor for hydrate formation, in presence of both types of guests: the experimental formation curve remained constantly above the ideal one.However, several differences were found to exist between methane and carbon dioxide hydrate formation, in terms of moles of hydrate formed, saturation degree of sand pores, gas uptake, time required to complete the process and so on.Those latter differences are extremely important because they could be decisive in establishing how intervene in a specific hydrate reservoir.
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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 | 0.000 |
| 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".