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Record W2095439013 · doi:10.1002/aic.11874

Measuring hydrate/ice deposition in a flow loop from dissolved water in live liquid condensate

2009· article· en· W2095439013 on OpenAlexfundno aff
Joseph W. Nicholas, Carolyn A. Koh, E. Dendy Sloan, Lee Nuebling, Helen He, Bob Horn

Bibliographic record

VenueAIChE Journal · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
FundersImperial Oil Limited
KeywordsHydratePressure dropClathrate hydrateCoalescence (physics)Deposition (geology)Drop (telecommunication)Clear iceWater flowVolumetric flow rateLiquid waterSaturation (graph theory)Materials scienceChemistryGeologyMechanicsGeotechnical engineeringGeomorphologySedimentSea ice

Abstract

fetched live from OpenAlex

Abstract Experiments were conducted to investigate hydrate/ice plugging and deposition mechanisms from water dissolved in a liquid condensate system, using a single‐pass flow loop. Two different hydrate/ice plugging mechanisms were observed. Hydrate/ice deposition from a dissolved‐water phase resulted in a lengthwise uniform/dispersed deposit and a gradual pressure drop increase. The dispersed deposit acted as insulation at the flow loop wall, and the deposit began to propagate downstream. However, cooling below the liquid‐water saturation curve resulted in free water coalescence, and a localized hydrate/ice restriction in the flow loop. This localized restriction resulted in a rapid pressure drop increase. © 2009 American Institute of Chemical Engineers AIChE J, 2009

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
Bibliometrics0.0000.000
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 head0.015
GPT teacher head0.210
Teacher spread0.196 · 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

Citations58
Published2009
Admission routes1
Has abstractyes

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