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Record W2022260173 · doi:10.2118/157798-ms

Simulation of Miscible Cyclic Injection Flows in Porous Media

2012· article· en· W2022260173 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

VenueSPE Heavy Oil Conference Canada · 2012
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Mathematical Modeling in Engineering
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPorous mediumMechanicsMaterials scienceDispersion (optics)Displacement (psychology)Process (computing)Transverse planeNonlinear systemInverseConstant (computer programming)ConvectionPorosityComposite materialOpticsPhysicsMathematicsGeometryEngineeringStructural engineeringComputer science

Abstract

fetched live from OpenAlex

Abstract The present study examines the development of miscible displacements in homogeneous porous media with a non-constant, time-dependent injection velocity. Numerical simulations for a sinusoidal injection velocity model are conducted to determine the effects of different variables on the efficiency of the displacement. The evolutions of nonlinear fingers with time are analyzed by plotting concentration fields, transversely averaged concentration profiles and sweep efficiency curve. Both the displacing process (injection process) and inverse displacing process (production process) are considered. Convection, transverse dispersion mechanisms, magnitude and frequency of the velocity changes are analyzed and the results are compared with those of a constant injection velocity 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)0.000
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: none
Teacher disagreement score0.720
Threshold uncertainty score0.964

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 head0.028
GPT teacher head0.252
Teacher spread0.224 · 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