Comparison of AVO, prestack impedance inversion, and poststack impedance inversion: Lithology and pore fluid discrimination in the Scotian Basin, Nova Scotia, Canada
Bibliographic record
Abstract
This study involves delineation of geophysical properties of a small region in Scotian Basin, offshore Nova Scotia, Canada. In this study, three different geophysical methods were applied to evaluate the Abenaki formation for hydrocarbon potential using quantitative geophysical methods. These methods are AVO, prestack impedance inversion and poststack impedance inversion. AVO modeling/analysis is a technique used to infer fluid content and lithology variations by studying the amplitude variations at a layer boundary in the CDP gather. Seismic inversion methods are used to characterize geophysical properties within layers. The use of AVO, prestack simultaneous impedance inversion, and poststack model-based impedance inversion lead to a robust interpretation. In this study, it is observed that AVO method is inadequate itself to explain either change in lithology or fluid content causes AVO variations. Using prestack inversion and poststack inversion methods, subsurface lithology or fluid change can be evaluated by means of seismic velocities in an effective manner.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".