Experimental study on growth characteristics of pore-scale methane hydrate
Bibliographic record
Abstract
In order to study the behavioral characteristics of the pore-scale hydrate formation, this experiment employs a high-pressure-resistant visible model in an etched glass plate to study the pore-scale methane hydrate formation and reveal its growth law s in porous media. The experiment shows that the evolution of natural gas hydrates is divided into three periods, namely, the instability period of gas–liquid dissolution, the hydrate growth period, and the hydrate formation period. The hydrate growth process accelerates when pressure increases. The increase in temperature yields a random trend. The hydrate growth period has three substages: the gas–liquid cluster and nucleation stage, the gas–liquid film formation and accretion stage, and the deposition and crystallization stage. The hydrate growth laws are drawn as follow: (1) The nucleation characteristics of the gas hydrate directly determine the hydrate’s spatial distribution in the pores. The heterogeneous nucleation is more likely to occur. (2) The spatiotemporal growth of the hydrates is an interaction of two kinds of transformations in the porous media, namely, the transformation from the disordered to the ordered, and the transformation from the hydrophobic to the hydrophilic. In the early stage, the gas–liquid contact appears to be hydrophobic, and the gas–liquid dissolution process shows a repeated disorder. In the later stage, the hydrate begins to be ”hydrophilic”, which means it follows the existing hydrate interface to grow orderly into the depth of the pores. (3) The geometric distribution of the pore structure can change the spatial structure of the water molecules’ growth, which leads the hydrate to distribute with a geometric anisotropy. The research results are aimed to provide a theoretical basis for the exploitation and optimization of marine natural gas hydrates.
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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".