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Record W2088045417 · doi:10.2118/138112-ms

Fundamentals of Methane Hydrate Decomposition

2010· article· en· W2088045417 on OpenAlexafffund
John A. Ripmeester, Seyyed Alireza, B.. Hosseini, Peter Englezos, Saman Alavi

Bibliographic record

VenueCanadian Unconventional Resources and International Petroleum Conference · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsUniversity of British ColumbiaNational Research Council Canada
FundersNatural Resources CanadaCanadian Natural Resources Limited
KeywordsHydrateMethaneEndothermic processClathrate hydrateMass transferDissociation (chemistry)ChemistryDecompositionThermodynamicsChemical engineeringMaterials scienceChemical physicsAdsorptionPhysical chemistryOrganic chemistryChromatography

Abstract

fetched live from OpenAlex

Abstract Constant energy molecular dynamics simulations are used to study the role of mass and heat transfer in the decomposition of methane hydrate. The rate of methane hydrate decomposition in a constant energy simulation is affected by heat and mass transfer arising from the breakup of the hydrate framework and release of the methane gas into the liquid phase. As the hydrate undergoes endothermic dissociation, temperature gradients are established between the remaining solid hydrate and the solution phases. Hydrate dissociation occurs in a concerted fashion with rows of sI cages parallel to the interface decomposing simultaneously. This leads to the release of large amounts of methane gas near the solid-liquid interface which can form bubbles that affect the rate of mass transfer between the phases. These phenomena can affect the rate of methane hydrate decomposition in natural methane hydrate reservoirs.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score0.987

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)0.0200.000

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 head0.012
GPT teacher head0.243
Teacher spread0.231 · 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 designNot applicable
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

Citations15
Published2010
Admission routes2
Has abstractyes

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