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Record W2022904239 · doi:10.3997/2214-4609.20131846

Measurement of P-wave Attenuation of Heavy Oil for Viscoelastic Modeling

2013· article· en· W2022904239 on OpenAlexaboutno aff
Akiko Kato, Shigenobu Onozuka, Fumio Kono

Bibliographic record

VenueProceedings · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNMR spectroscopy and applications
Canadian institutionsnot available
Fundersnot available
KeywordsAttenuationViscoelasticityAmplitudeAcousticsWaveletRange (aeronautics)Materials scienceComputational physicsPhysicsOpticsComposite materialComputer science

Abstract

fetched live from OpenAlex

Ultrasonic P-wave velocity and attenuation measurements for Canadian heavy oil are conducted in wide temperature range. In the attenuation measurement we use a sweep-type wave and the continuous wavelet transform to obtain stable and broad amplitude spectrum, resulting in that attenuation data with high consistency among three experiments are successfully obtained. The estimated attenuation shows the maximum at about 20˚C, which nearly coincide in the highest rate of P-wave velocity increase with decreasing temperature. The measurement data clearly show existence of additionally induced bulk modulus by the bulk viscosity. The estimated P-wave attenuation and velocity data are expected to help us better understanding for the modeling.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.231

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 head0.034
GPT teacher head0.295
Teacher spread0.261 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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