The significance of incorporating a 3-D point source in the inverse scattering series internal multiple attenuator for a 1-D subsurface
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Bibliographic record
Abstract
Summary In this paper, the 3-D inverse scattering series (ISS) internal multiple attenuation algorithm (Araújo et al., 1994; Weglein et al., 1997, 2003) is modified for a one-dimensional subsur-face to incorporate a 3-D point source in multiple predictions, for improved realism and effectiveness. The new algorithm, which assumes the earth is only varying in the z-direction (1-D subsurface/earth, reasonable in many circumstances in Central North sea (Duquet et al., 2013), on-shore Canada, and the Middle East), represents more than a small increase in effectiveness of predicting the shape and amplitude of multiples, compared to a frequently employed 1.5-D ISS internal multiple attenuator (assuming a 2-D line source and a 1-D earth). The numerical tests are performed on a 3-D source synthetic data set from a 1-D subsurface. The results demonstrate that the new algorithm incorporating a 3-D point source can change the prediction from 'causing harm' to 'providing benefit' in comparison to an internal multiple attenuation algorithm that assumes a 1-D earth and a line source.
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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 | 0.000 | 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) | 0.000 | 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 it