SV‐wave and P‐wave high resolution seismic reflection using vertical impacting and vibrating sources
Bibliographic record
Abstract
Shear wave seismic reflection profiles are generally acquired using sources and receivers horizontally oriented to avoid interferences of the signal with unwanted energies like converted- or P-waves. With various tests using a sledge hammer impulsive source, we have defined a window of acquisition for SV-wave recording. The SV reflected signal can be differentiated from the surface waves in the frequency domain. Our tests have been conducted on the Champlain Sea sediments in the vicinity of Ottawa, Ontario, Canada. These sediments have already proven to be ideal for P-wave and SH-wave high-resolution seismic imaging. SV sections using a vibrating source obtained over such environment display the highest resolution we have yet observed in any land-based seismic reflection survey. Tests over more compacted sediments have been less conclusive but it is hypothesized that this new SV high resolution seismic reflection method may be used in sedimentary environments that are already known to give good results with the SH-wave reflection method. The greatest benefit of the method is that with the same raw shot records it is possible to process a P and an SV high resolution seismic section.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".