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Downhole Seismic Logging Techniques In A Regional Hydrogeology Study, Oak Ridges Moraine, Southern Ontario

2000· article· en· W2326061954 on OpenAlexaffabout
S E Pullan, J. A. Hunter, A J -M Pugin, Robert A. Burns, M J Hinton

Bibliographic record

Venue13th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Waves and Analysis
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGeologyBoreholeWell loggingMoraineSonic loggingSeismologyHydrogeologyReflection (computer programming)GeomorphologyPetrologyGeotechnical engineeringGeophysicsGlacier

Abstract

fetched live from OpenAlex

Downhole seismic logging surveys have been carried out in plastic-cased, continuously-logged<br>boreholes drilled in the Oak Ridges Moraine (ORM) area in support of a regional hydrogeology study.<br>Compressional-wave logs were obtained using a multi-channel hydrophone array with 0.5 m detector<br>spacings and a surface in-hole shotgun source. These data provide detailed and accurate velocity<br>profiles down the hole. In this area, high velocities (>2500 m/s) are associated with the Newmarket Till,<br>a regionally significant aquitard. These velocities are significantly higher than those associated with<br>adjacent stratigraphic units, and more clearly delineate the Newmarket Till than other borehole logs<br>(natural gamma, conductivity or magnetic susceptibility). These data show that the Newmarket Till is<br>a thick (10’s of metres) unit that can be traced regionally beneath the Oak Ridges Moraine. The<br>downhole seismic data also provide a direct correlation between reflection events and depths which<br>improves the calibration and interpretation of surface seismic reflection data. Shear-wave logs have<br>been obtained in one ORM borehole using a compass-oriented, S-component, well-locked geophone.<br>In this borehole, preliminary correlations have been made between seismic velocities (both<br>compressional and shear) and porosity measurements obtained from the core.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score0.964

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 head0.005
GPT teacher head0.162
Teacher spread0.157 · 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 designSimulation or modeling
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
Published2000
Admission routes2
Has abstractyes

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