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Record W4256434687 · doi:10.4133/1.2923697

Seismoelectric Measurements in a Borehole Penetrating Glaciofluvial Sediments

2006· article· en· W4256434687 on OpenAlexaffabout
J. Christian Dupuis, Karl E. Butler

Bibliographic record

VenueSymposium on the Application of Geophysics to Engineering and Environmental Problems 2006 · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsGeologyBoreholeMining engineeringGeotechnical engineering

Abstract

fetched live from OpenAlex

Seismoelectric signals have been measured as a function of depth using a broadband surface seismic source, and a multi‐electrode array suspended in a borehole penetrating glaciofluvial sands, silts, and glacial till. Transient electric field pulses, with amplitudes as small as 400 nV/m were observed to accompany the arrival of seismic P‐waves at the electrodes and are thought to be of electrokinetic origin. The observation borehole, cased with slotted PVC, penetrates sediments of the Fredericton aquifer system and has been logged with several other geophysical methods. During our experiment, seismic P‐waves were generated by striking a 9 m long PVC pipe that was inserted into an adjacent borehole. This source bypassed the dry surfacial sediments and provided good seismic coupling thereby producing a seismic pulse with a centre frequency of 290 Hz which is much higher than is usually obtained from conventional surface seismic sources. Co‐seismic seismoelectric effects dominated our records, but a weak interfacial effect appeared to originate from a clay/silt boundary. The strength of the co‐seismic seismoelectric signal varied with sediment type. It increased significantly in the porous sand layer which suggests that the co‐seismic signal could become useful in well logging to help identify and characterize aquifers. The measured seismoelectric signal amplitudes compare favourably to the expected values predicted by seismoelectric models using the a priory information of the borehole logs.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score0.464

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 head0.007
GPT teacher head0.178
Teacher spread0.171 · 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 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
Published2006
Admission routes2
Has abstractyes

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