Facies-dependent AVO prediction: A framework for prospect derisking in the Flemish pass and orphan basins
Bibliographic record
Abstract
A predictive framework has been defined that relates geological processes to seismic AVO response away from well control, in the Flemish Pass and Orphan Basins and offshore Labrador. The framework provides a link between geological properties and processes, and the elastic response of the rocks encountered in these basins. A balanced approach is taken using both empirical trends and analytical rock physics models to ensure that the behavior of each facies is captured in the most appropriate manner. The facies dependent predictions made by the framework are used to develop synthetic AVO models for different scenarios, which can then be compared to seismic AVO anomalies identified within the basins. For illustrative purposes, the framework is deployed to investigate a seismic amplitude anomaly within a rotated fault block. Presentation Date: Tuesday, October 18, 2016 Start Time: 8:50:00 AM Location: Lobby D/C 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".