Investigating the Effect of Fluid Substitution on AVO Response: A Physical Modelling Study
Bibliographic record
Abstract
SummarySeismic physical modelling is a powerful method for verification of different algorithms and also for better understanding wave propagation phenomenon. In this paper, we design a physical model made out of Plexiglas to investigate the effect of fluid substitution on Amplitude Variation with offset (AVO) by designing a physical model in a way that remove the influence of other factors that can impact the AVO behavior. We record the seismic response of two scenarios, one that is representative of dry/gas saturated medium and another one is the representative of water saturated medium. After processing of recorded seismic data and picking the reflection amplitude, we implement some corrections over the reflection amplitude to represent true reflectivity. The corrected amplitude of both cases were used to extract Intercept (R0) and Gradient (G) AVO attributes based on the Shuey equation. The extracted values are mapped on R0 − G cross-plot. From the cross-plot, it is clear that the substitution of water with gas is resulted in shifting the position of point toward the center of the cross-plot.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".