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Record W2124801211 · doi:10.1080/10916466.2011.588638

The Interplay of Permeability, Drainage Height, Capillarity, and Solvent Type on Diffusion and Convective Dispersion in the Vapex Process: A Critical Review

2013· review· en· W2124801211 on OpenAlex
Farid Ahmadloo, K. Asghari, Amr Henni

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

VenuePetroleum Science and Technology · 2013
Typereview
Languageen
FieldEngineering
TopicHeat and Mass Transfer in Porous Media
Canadian institutionsHusky Energy (Canada)University of ReginaNexen (Canada)
Fundersnot available
KeywordsMass transferPermeability (electromagnetism)DiffusionConvectionSolventMechanicsMaterials scienceProcess (computing)Petroleum engineeringDrainageThermodynamicsChemistryChromatographyGeologyPhysicsComputer scienceMembraneOrganic chemistry

Abstract

fetched live from OpenAlex

Despite numerous studies on various aspects of the Vapex process, diffusion and convective dispersion phenomena are of a particular interest. The lack of knowledge in this area has resulted in significant uncertainty in design of this process. This paper assimilates and presents a review on the effects of drainage height, permeability, solvent type, and capillarity on mass transfer phenomena in the Vapex process. Due to the scarcity of phase behavior data and variety of adapted experimental approaches in literature, Vapex number was used to investigate the interplay of studied parameters on the efficiency of mass transfer phenomena in Vapex process.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.958
Threshold uncertainty score0.734

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.311
Teacher spread0.294 · 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