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Study on Hydrate Inhibitor to Prevent Freeze-Plugging of Gas-Condensate Well

2013· article· en· W2010749835 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvanced materials research · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsWellheadPetroleum engineeringWellboreNatural gas fieldClathrate hydrateHydrateEnvironmental scienceMethanolGas pipelineWaste managementNatural gasEngineeringChemistry

Abstract

fetched live from OpenAlex

The phenomenon of hydrate freeze-plugging is very widespread in Jilin oilfield M gas field exploitation. Freeze-plugging tends to occur in winter, mainly including ground pipeline, wellhead and wellbore freeze-plugging, etc, which affects the normal production of gas well, also has restricted the gas reservoir development and will cause huge economic losses. In order to prevent the freeze-plugging occurred in gas well, methyl alcohol is used to inject into single well at the rate of 600 to 3080 L/day. The field condition shows that the result of injecting methanol is not obvious, besides, the toxicity of methanol and its high cost already cannot satisfy the oilfield actual demand. Therefore, we need to research and develop new hydrate inhibitors with low cost and high efficiency to solve the problem of freeze-plugging.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.006
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.009

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 head0.033
GPT teacher head0.329
Teacher spread0.296 · 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