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Record W2794664527 · doi:10.1002/2017wr021753

Theoretical Insight Into the Empirical Tortuosity‐Connectivity Factor in the <i>Burdine‐Brooks‐Corey</i> Water Relative Permeability Model

2017· article· en· W2794664527 on OpenAlexaff
Behzad Ghanbarian, Marios A. Ioannidis, Allen G. Hunt

Bibliographic record

VenueWater Resources Research · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNMR spectroscopy and applications
Canadian institutionsUniversity of Waterloo
FundersKansas State University
KeywordsTortuosityExponentScalingStatistical physicsPorous mediumRelative permeabilityPower lawPercolation (cognitive psychology)Permeability (electromagnetism)Percolation theorySaturation (graph theory)BundleCritical exponentConductivityPhysicsMathematicsMaterials sciencePorosityGeotechnical engineeringGeologyGeometryStatisticsChemistryCombinatorics

Abstract

fetched live from OpenAlex

Abstract A model commonly applied to the estimation of water relative permeability k rw in porous media is the Burdine‐Brooks‐Corey model, which relies on a simplified picture of pores as a bundle of noninterconnected capillary tubes. In this model, the empirical tortuosity‐connectivity factor is assumed to be a power law function of effective saturation with an exponent ( ) commonly set equal to 2 in the literature. Invoking critical path analysis and using percolation theory, we relate the tortuosity‐connectivity exponent to the critical scaling exponent t of percolation that characterizes the power law behavior of the saturation‐dependent electrical conductivity of porous media. We also discuss the cause of the nonuniversality of in terms of the nonuniversality of t and compare model estimations with water relative permeability from experiments. The comparison supports determining from the electrical conductivity scaling exponent t , but also highlights limitations of the model.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.315
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.097
GPT teacher head0.425
Teacher spread0.328 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations29
Published2017
Admission routes1
Has abstractyes

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