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Record W2024853778 · doi:10.1021/ie101914d

Modeling of Placement of Immiscible Fluids of Different Rheology into a Hydraulic Fracture

2011· article· en· W2024853778 on OpenAlexafffund
Alexander Lakhtychkin, Oleg Vinogradov, Dmitry Eskin

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2011
Typearticle
Languageen
FieldChemical Engineering
TopicRheology and Fluid Dynamics Studies
Canadian institutionsSchlumberger (Canada)University of Calgary
FundersMitacs
KeywordsRheologyFracture (geology)ComputationHydraulic fracturingNonlinear systemMechanicsDomain (mathematical analysis)Computer scienceMaterials scienceGeologyMathematicsGeotechnical engineeringPhysicsMathematical analysisAlgorithmComposite material

Abstract

fetched live from OpenAlex

A model of consecutive placements of two different immiscible fluids, possessing different densities and rheological properties, into an expanding fracture is presented. Hydraulic fracturing technology, based on such a fluid placement, is expected to allow better fracture shape control. Mathematically, the problem is reduced to solving a two-dimensional second-order nonlinear partial differential equation describing pressure distribution in a semiellipsoid domain with moving boundaries. The level set method is used to track the interface between the fluids in time. Numerical examples of the placement of power-law fluids are presented, and the accuracy of the computations is investigated.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.882

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.072
GPT teacher head0.300
Teacher spread0.229 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations9
Published2011
Admission routes2
Has abstractyes

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