Stable temperature-pressure conditions of natural gas hydrates in porous media: A review
Bibliographic record
Abstract
Natural gas hydrates are considered a highly promising future energy, however they could also pose risks, such as triggering submarine landslides and exacerbating the greenhouse effect. The stable temperature-pressure conditions of natural gas hydrates in porous media are critical for estimating natural gas hydrate reserves, designing extraction strategies, and addressing challenges such as submarine landslides and the greenhouse effect induced by natural gas hydrates dissociation. In this review, we systematically summarized the literature regarding the stable temperature-pressure conditions of natural gas hydrates in porous media. Focusing on the nanopore confinement effect and surface effect, we reviewed the influencing mechanisms of four types of porous media, i.e., artificial porous media, sand, clay minerals, and actual marine sediments, on the stable temperature-pressure conditions of natural gas hydrates. We also summarized the latest outcomes of advanced technologies, such as nuclear magnetic resonance (NMR), visualization techniques, and differential scanning calorimetry (DSC), in studying the stable temperature-pressure conditions of natural gas hydrates. With these advanced technologies, it is more promising to reveal the mechanisms of which porous media affect the stable temperature-pressure conditions of natural gas hydrates.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".