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Record W7067319448

Liquid phase characterization of multicomponent gas hydrate systems

2016· dissertation· en· W7067319448 on OpenAlexafffund

Bibliographic record

VenueeScholarship@McGill (McGill) · 2016
Typedissertation
Languageen
FieldSocial Sciences
TopicAdvertising and Communication Studies
Canadian institutionsMcGill University
FundersMcGill University
KeywordsMole fractionClathrate hydrateMethaneHydrateFraction (chemistry)SolubilityPhase (matter)Liquid phaseNitrogen
DOInot available

Abstract

fetched live from OpenAlex

This thesis characterizes the liquid phase of several multicomponent gas hydrate systems during growth and equilibrium through mole fraction measurements. To demonstrate the importance of the liquid phase in gas hydrate equilibrium modeling, both liquid and gas phases of the CO2+CH4+H2O system were modeled using various equation of states. It was found that the mole fraction where both liquid and gas fugacities met at equilibrium is highly dependent on the liquid phase when compared to the gas phase. Furthermore, liquid and gas phase compositions at three-phase equilibrium (hydrate-liquid-vapor) were generated using modified interaction parameters. If interaction parameters were optimized using only liquid mole fraction data, both gas and liquid equilibrium compositions were successfully generated. Conversely, both phases could not be adequately modeled when interaction parameters were optimized using only vapor data; successful results were limited to the vapor phase. These findings are likely due to non-ideal effects present in the liquid phase but absent in the gas phase. Solubility isotherm trends for the N2+CO2+H2O and CH4+C2H6+H2O systems were experimentally obtained. As simple nitrogen systems favor structure II and simple carbon dioxide systems structure I, their combination yields a system where a structure change transition occurs depending on the relative amount of gas. In the case of the methane and ethane mixture, both individual simple systems favor structure I while their mixture can form structure II under certain conditions. This phenomenon is the result of structure II offering a specific ratio of large and small cavities that is only favorable for specific ranges of methane and ethane concentrations. The solubility trends obtained of both multicomponent systems were found to shift where a structure change is reportedly occurring; a novel find. This can be explained by the fact that guest occupancies and hence solid phase mole fractions differ for each structure. Replicates obtained near the conditions where a structure change is reportedly occurring were found to vary. This fluctuation was the consequence of both structures being present in various ratios during sampling, even if only one structure is thermodynamically favored. Liquid and gas mole fractions were experimentally acquired during growth for the CH4+CO2+H2O system. Constant gas phase compositions along with controlled pressure and temperature enabled a consistent differential pressure between operating conditions and the equilibrium plane during kinetic experiments. Similar to results obtained in literature for simple hydrate systems, both methane and carbon dioxide liquid mole fractions were found independent of time. Overall growth rates were obtained and had a linear relationship with time. Liquid mole fractions obtained during induction revealed that methane is consumed significantly more than carbon dioxide during the early stages of growth.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.030
GPT teacher head0.309
Teacher spread0.279 · 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

Citations1
Published2016
Admission routes2
Has abstractyes

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