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Record W2322838258 · doi:10.1190/segam2012-1258.1

Orientation analysis of borehole geophones: calibration consistency

2012· article· en· W2322838258 on OpenAlexaffabout
Peter Gagliardi, Don C. Lawton

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Waves and Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAzimuthGeophoneOffset (computer science)GeologyOrientation (vector space)BoreholeCalibrationGeodesyBinVertical seismic profileRemote sensingGeometryPhysicsOpticsSeismologyMathematicsComputer scienceStatisticsAlgorithmGeotechnical engineering

Abstract

fetched live from OpenAlex

Geophone orientation azimuths were found from 3D VSP data, acquired near Lousana, Alberta, in order to examine any dependence of computed geophone orientation on source-well offset or azimuth. Additionally, a comparison was made between analytic and hodogram methods. The dataset was divided based on source-well azimuth into bins with centers trending 0°-180°, 45°-225°, 90°-270° and 135°-315°. There appeared to be little dependence on source-well sector azimuth, which is expected for flat, isotropic geology near the well. Offsets were binned into ranges of 0-600 m, 600-950 m, 950-1300 m, 1300-1650 m and greater than 1650 m. Scatter in rotation angles was shown to be strongly dependent on offset, with the most constrained results in the 1300-1650 m offset bin. The optimal offset range for geophone orientation calibration was found to be between 1 and 2 times the receiver depth. Standard deviation in orientation azimuths were found to be 1.66° using the analytic method, and 2.17° using the hodogram method from a total of 249 source locations. While the both methods performed well, the analytic method produced more consistent results.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.014
GPT teacher head0.224
Teacher spread0.209 · 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 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

Citations6
Published2012
Admission routes2
Has abstractyes

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