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Record W2537108081 · doi:10.1190/1.3255258

Laboratory measurements of static and dynamic bulk moduli in carbonate

2009· article· en· W2537108081 on OpenAlexaff
Aiman Bakhorji, Douglas R. Schmitt

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPetrophysicsCarbonateCalciteBulk modulusPorosityModulusMineralogyMaterials scienceCarbonate rockModuliGeologyComposite materialGeotechnical engineeringMetallurgyPhysics

Abstract

fetched live from OpenAlex

Despite the fact that Carbonate reservoirs contain more than half of the world's oil and gas reserves, they have not received enough attention (Verwer et al. 2008). Carbonate rock derives from a combination of biological and chemical components. This adds complexity and heterogeneity to its structure and petrophysical properties. Thirty eight carbonate samples from Arab formation were used in this study. P‐ and S‐wave velocities were measured in all samples on dry and saturated conditions at different confining pressure. The quasi‐static strains of the samples under jacketed and unjacketed conditions were measured simultaneously with the ultrasonic measurements on a subset of twenty three of these. Static bulk mduli obtained from quasi‐static measurements are lower than moduli calculated from the ultrasonic measurements. These differences can be related to the differences in the strain amplitude between the two measurements. Despite the porosity variations, a static‐dynamic cross plot shows a remarkably consistent trend of the static‐dynamic ratio to around 0.5. Grain bulk modulus obtained from the unjacketed tests is between 70 to 75 GPa which is close to the bulk modulus of Calcite reported in the literature.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score0.219

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 head0.010
GPT teacher head0.211
Teacher spread0.201 · 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 designObservational
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

Citations37
Published2009
Admission routes1
Has abstractyes

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