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Record W7097586408

synthetic seismograms from the Jeanne d'Arc basin, offshore Newfoundland

2015· article· en· W7097586408 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsSeismogramPetrophysicsLithologySubmarine pipelineSynthetic seismogramStructural basinScale (ratio)
DOInot available

Abstract

fetched live from OpenAlex

This investigation in the Jeanne d’Arc Basin, offshore Newfoundland, involves a petrophysical analysis to determine the relationship of Vp/Vs to lithology and the evaluation of PP and PS synthetic seismograms for these Vp/Vs values. The petrophysical analysis indicates that the sediments in the Jeanne d’Arc Basin fit quite well with the Castagna (1985) mud rock line. Our key finding is that for rock in the Jeanne d’Arc Basin, a Vp/Vs of 1.75 should differentiate a clay or calcite-rich bed from a quartz-rich deposit. Analysis of the synthetic seismogram indicates that the Garotta (1987) interval travel-time calculation will successfully determine lithology for formation scale events. Analysis of individual beds indicates that tuning and resolution issues dominate the calculated Vp/Vs. It is recommended that Vp/Vs analysis using interval times should be limited to intervals greater than a wavelength. Vp/Vs analysis using multi-component seismic in the Jeanne d’Arc Basin shows significant promise.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.433
Threshold uncertainty score0.871

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.084
GPT teacher head0.272
Teacher spread0.187 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2015
Admission routes1
Has abstractyes

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