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Record W1993419871 · doi:10.3997/2214-4609.20141413

Elastic Full Waveform Inversion for Land Walkaway VSP Data from British Columbia, Canada

2014· article· en· W1993419871 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProceedings · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsGeologyInversion (geology)SeismologyVertical seismic profileWaveletBoreholeSeismic vibratorGeophysicsGeodesyGeotechnical engineeringComputer scienceTectonics

Abstract

fetched live from OpenAlex

Summary Full waveform inversion (FWI) is capable of handling multicomponent borehole seismic data and reveals quantitative values of the subsurface medium properties, including compressional and shear-wave velocities. Careful treatment of the source wavelet is crucial for FWI success and is challenging task for land data because of the high variability of downgoing wavelets for different source positions caused by variations of near surface conditions. We present a feasibility study of anisotropic elastic FWI for the land walkaway vertical seismic profiling (VSP) data acquired in northeast British Columbia, Canada, with a vibrator source. FWI explained the data at medium frequencies and recovered a layered structure of the subsurface that agrees with reasonable accuracy with sonic measurements. The inverted source signature and shallow part of the model compensated for the variations of the downgoing wavelet.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score1.000

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)0.0010.000

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 head0.014
GPT teacher head0.187
Teacher spread0.173 · 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