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Record W2352756177

A Study on Micro Process of Coalbed Methane Molecules' Bubble Formation

2012· article· en· W2352756177 on OpenAlex
Ping Yang

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

VenueJournal of Hebei Normal University · 2012
Typearticle
Languageen
FieldEngineering
TopicGeoscience and Mining Technology
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsCoalbed methaneMethaneBubbleDissolutionNucleationDrop (telecommunication)Liquid bubbleMoleculeFormation waterChemistryChemical physicsPressure dropChemical engineeringPetroleum engineeringThermodynamicsMechanicsCoalOrganic chemistryGeologyCoal mining
DOInot available

Abstract

fetched live from OpenAlex

The chemical theories are used to describe process of coalbed methane(CBM) molecules' dissolution and bubbles formation.Moreover,forces and works of bubbles formation are analyzed,combined with real situation of the field production practice,bubbles formation influence of temperature,overlying pressure,reservoir water salinity,pressure drop and pore medium size are discussed.It shows that methane molecules' bubbles formation in the water includes methane molecules four process of bubbles dissolved in water,local gathered nucleation,bubbles formation and bubble burst,the air bubble growth and stability.The smaller overlying pressure is,the larger pressure drop is,the easier methane molecules form stable bubbles,during early period of CBM development,low temperature and low salinity are benefical to bubble formation when methane molecules move with the diffusion way.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.299
Threshold uncertainty score0.222

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)0.0000.000

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 head0.220
Teacher spread0.208 · 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