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Record W2969111065 · doi:10.1190/segam2019-3216606.1

Simultaneous accelerometer and optical fibre multi-azimuth walk-away VSP experiment: Newell County, Alberta, Canada

2019· article· en· W2969111065 on OpenAlexaffabout
Kevin Hall, Kevin L. Bertram, Malcolm B. Bertram, K. A. Innanen, Don C. Lawton

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsCMC Research InstitutesUniversity of Calgary
Fundersnot available
KeywordsGeophoneAccelerometerAzimuthGeologySeismometerVertical seismic profileSeismic surveySeismologyGeodesyComputer sciencePhysics

Abstract

fetched live from OpenAlex

CREWES conducted a high-resolution multi-azimuth walk-away three-component vertical seismic profile (VSP) survey at the Containment and Monitoring Institutes Field Research Station (CaMI.FRS) in September 2018. This data is primarily intended for use in full-waveform inversion (FWI) and modelling studies. The FRS has three wells, referred to here (from SW to NE) as the geophysics, injection and geochemistry wells. The 2018 VSP had thirteen source lines, four acquired with a 10 m Vibe Point (VP) spacing and the remainder acquired with a 60 m VP spacing. The source was an Inova Univib running a linear 1-150 Hz sweep with two sweeps per VP. In addition to existing permanent 3C geophones and optical fibre, a string of Inova 3C VectorSeis accelerometers was deployed in the geophysics well for this survey from surface to bottom hole. The accelerometer data are currently undergoing zero-offset and far-offset VSP processing. First-break picks sorted by offset and azimuth confirm the presence of very weak HTI anisotropy at the FRS, as observed on a single offset semi-circular walk-around VSP recorded in the injection well in 2015. Presentation Date: Wednesday, September 18, 2019 Session Start Time: 8:30 AM Presentation Start Time: 11:00 AM Location: 303B Presentation Type: Oral

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.662
Threshold uncertainty score0.994

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)0.0070.000

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 head0.009
GPT teacher head0.203
Teacher spread0.194 · 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.

Study designNot applicable
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

Citations33
Published2019
Admission routes2
Has abstractyes

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