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Record W2006641905 · doi:10.1080/15567036.2010.501365

The Modeling of 3D Compositional Grading and Plus Fraction Molecular Weight Change in Non-isothermal Petroleum Reservoirs

2012· article· en· W2006641905 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

VenueEnergy Sources Part A Recovery Utilization and Environmental Effects · 2012
Typearticle
Languageen
FieldEngineering
TopicField-Flow Fractionation Techniques
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIsothermal processHydrocarbonFraction (chemistry)Petroleum engineeringMass fractionGeologyThermodynamicsChemistryChromatographyPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Composition and physical properties vary within hydrocarbon reservoirs, even in well connected ones; it is of crucial interest to model this change in order to initialize the reservoir simulator. In this work, a non-isothermal model is used to depict changes in plus fraction molecular weight and it will be integrated into another non-isothermal model describing fluid compositional changes within a 3D reservoir. Previously, the model has been validated versus 1D real reservoir data. It will be used to model compositional change of real hydrocarbon in a synthetic 3D reservoir subjected to temperature gradient in x, y, and z directions. Keywords: compositional gradingconcentration distribution functionplus fractionstability analysis

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.446

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 head0.009
GPT teacher head0.203
Teacher spread0.194 · 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