Methane Hydrate Studies Using Teledyne Isco Syringe Pumps Overview
Bibliographic record
Abstract
Methane Hydrates consist of methane (natural gas) locked inside the crystalline lattices of water molecules, existing in sediment below the ocean floor, which can be released when exposed to the atmosphere. Also known as “burning ice ” for their unique physical properties, methane hydrates are a potential, relatively clean energy source that could provide a solution to our growing energy needs. Figure 1: Release of methane from ice through heating According to the U.S. Geological Survey, the organic carbon content of methane hydrates worldwide is esti-mated at 104 gigatons—roughly twice the amount contained in all fossil fuels combined. Each volume of hydrate can contain over 160 vol-umes of methane gas. If these hydrates are harvested, there could be as much as 20,000 trillion cubic meters available worldwide, compared to 250 trillion cubic meters of conventional natural gas in remaining world-wide reserves. Formation Methane hydrates are formed under specific condi-tions of temperature and pressure where there have been accumulations of organic remains, from which bac-teria have generated methane, and where sediment has rapidly collected, protecting the remains from oxidation. Figure 2: Formation conditions of methane hydrates Potential Recovery Sites Worldwide Methane hydrates can be found offshore along most continents in the world and in some permafrost regions, such as Canada and Russia, where specific temperatures and pressures exist. In Canada alone, there are an estimated 500 trillion cubic meters of methane hydrate located mainly in per-mafrost of Mallik field, in the Beaufort-Mackenzie region above the Arctic Circle. This field contains one of the highest concentrations of natural gas hydrates in the world, and studies indicate that significant gas recovery is possible. Methane hydrates are also found in the Nankai Trough located offshore from Japan, where there is an estimated 14-year supply.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".