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Record W6999978706

Enhanced rate of gas hydrate formation in a silica sand matrix compared to a stirred vessel

2009· article· en· W6999978706 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsClathrate hydrateHydrateHydrocarbonMatrix (chemical analysis)Natural gasMethane
DOInot available

Abstract

fetched live from OpenAlex

Hydrate formation experiments were conducted for two single gas and three gas mixtures. These systems are relevant to technologies under development for natural gas hydrate storage and transportation and for CO2 capture and sequestration. CH4/water, CH4 (90.5%)/C3H8 (9.5%)/water and CH4 (91%)/C2H6 (9%)/water are the hydrocarbon systems. CO2/water and CO2 (38.1%)/H2 (59.4%)/C3H8 (2.5%)/water are the systems studied for CO2 capture and sequestration. Two types of experiments were conducted for the above systems. One was conducted by dispersing water in silica sand, while the other in a stirred tank vessel. Both types of experiments were conducted at a constant temperature and in a closed system having the same experimental pressure at the start of the experiment. The presence of silica sand was found to enhance the kinetics of hydrate formation significantly and there by resulting in a higher percent of water conversion to hydrates in lesser time for all the systems studied.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.010
GPT teacher head0.243
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2009
Admission routes1
Has abstractyes

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