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Record W2519177810 · doi:10.1021/acs.jced.6b00547

Phase Equilibria for the CO<sub>2</sub>/CH<sub>4</sub>/N<sub>2</sub>/H<sub>2</sub>O System in the Hydrate Region under Conditions Relevant to Storage of CO<sub>2</sub> in Depleted Natural Gas Reservoirs

2016· article· en· W2519177810 on OpenAlexafffundabout
Duo Sun, John A. Ripmeester, Peter Englezos

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsNational Research Council CanadaSteacie Institute for Molecular SciencesUniversity of British Columbia
FundersCarbon Management Canada
KeywordsChemistryHydrateDifferential scanning calorimetryClathrate hydrateAutoclaveThermodynamicsAnalytical Chemistry (journal)Dissociation (chemistry)SalinityNatural gasMineralogyChromatographyPhysical chemistryGeology

Abstract

fetched live from OpenAlex

The CO 2, CO 2 /CH 4, CO 2 /N 2, and CO 2 /N 2 /CH 4 hydrate equilibria were determined in a stirred high-pressure vessel (autoclave) for temperatures similar to those in depleted natural gas reservoirs in the Alberta portion of the Western Canada Sedimentation basin in Canada. In addition, the equilibrium hydrate formation conditions were also determined by differential scanning calorimetry under a constant pressure of 3200 kPa. Also, experiments with saline water corresponding to 2 and 4 wt % of NaCl solution were used in order to simulate more realistic reservoir conditions. Equilibrium conditions in the autoclave system show a ±40 kPa agreement with the calculated values using CSMGem software. Similarly, the hydrate dissociation temperatures measured with differential scanning calorimetry show ±0.2 K agreement with the calculated values. The increase in salinity was found to shift the equilibrium to less favorable conditions and to decrease the amount of hydrate formed.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.022
GPT teacher head0.258
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations42
Published2016
Admission routes3
Has abstractyes

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