Transmission Multicomponent Interferometric Extended Source Velocity Analysis
Bibliographic record
Abstract
Summary Following the recent developments in seismic velocity inverse theory, the transmission multicomponent interferometric extended source velocity analysis is developed to estimate seismic velocity fields of both compressional and shear components. It is a type of interferometric migration velocity analysis, extended through source function images, rather than reflection images. The procedure uses transmission multicomponent data, which physics is modeled through a high-frequency approximation of the elastic wave equation. The solution is based on optimizing a measure of “physicality” for the given velocity models. Here the measure is defined through the symmetry of autocorrelations of the source wavelets around zero lag. Once the autocorrelations are centered at zero through optimization, the velocity models are “physical” and represent the solution of the non-linear inverse problem. The method is ideal for a velocity calibration where only the actual location of the source is known, such as a perforation shots during hydraulic fracturing. A simple synthetic example shows feasibility of the method using several vertical 3-C phones. Similarly, using a real field data observations, the method derives velocities, resulting in more symmetrical autocorrelations of the wavelets and imaging more accurate location of the shot with a fewer number of weaker undesired local maxima.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".