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Investigation of fracture zone properties using reflected seismic waves from passive microseismicity

2017· article· en· W2611900340 on OpenAlex

Why this work is in the frame

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aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDeep mining · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Waves and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGeologySeismologyMicroseismSeismic waveGeophysicsAcousticsPhysics

Abstract

fetched live from OpenAlex

A new method has been developed for imaging seismic reflectors using seismogram data recorded by a few standard triaxial geophones. A directional migration approach reduces imaging artefacts due to the low aperture of the sensor array. This is possible by measuring the polarisation in the seismogram coda and considering all four reflected body-waves: PP', PS', SP' and SS'. This technique has been applied to seismograms recorded by deep borehole sensors at Williams mine, Canada, in order to invert for fracture zone properties surrounding the open pit. A fracture zone thickness of 20 m, with average rock quality designation (RQD) of 75%, best matches the seismic data, and is closely correlated to the mine's borehole core observations. This finding has useful implications for efforts to remove tunnel reflections from seismograms recorded by standard (short borehole) geophones underground. As such, it is a necessary first step before standard microseismic monitoring arrays can be used to image the rock mass beneath and ahead of a working underground mine using reflection seismology.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.496
Threshold uncertainty score0.981

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 head0.045
GPT teacher head0.238
Teacher spread0.192 · 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