How fracture orientation and particle motion impact nonlinear interactions in an elastic medium
Bibliographic record
Abstract
With many of the world’s conventional oil and gas deposits already in development or within stages of exploration, it is important to look for new approaches to interpret and develop unconventional resources. Attempting to understand fracture networks can be a key factor when trying to exploit these unconventional resources. We present a small-scale laboratory experiment in which a high amplitude S-wave slightly perturbs both a lower amplitude S-wave and lower amplitude P-wave within a sandstone sample, which has aligned fractures of predetermined orientation. We look specifically at the changes in perturbation when rotating the S-wave pump 90 degrees and hence changing the relative alignment of the particle motion of the two waves and the relative orientation of the high amplitude S-wave and the fractures. We find that the changes in perturbation are controlled by neither the fracture orientation nor the relative particle motion but instead the orientation of the high amplitude pump relative to the geometry of the sample itself. Presentation Date: Tuesday, September 26, 2017 Start Time: 10:35 AM Location: Exhibit Hall C/D Presentation Type: POSTER
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".