Basin Model Constrained Litho-Elastic Inversion: Offshore Nova Scotia Case Study
Bibliographic record
Abstract
Summary Basin model constrained Litho-Elastic (LE) amplitude versus angle (AVA) inversion is a new technology which integrates basin modelling with seismic inversion in frontier exploration area where little well control is available. Conventional LE inversion jointly solves for elastic parameters and lithology by integrating rock physics and lithology-dependent compaction trends as a function of depth. Basin model constrained LE inversion expands the LE inversion’s capabilities to handle multi-variant rock physics trends. For example, lithology dependent compaction trends of elastic parameters as a function of both effective stress and temperature. The method uses a 3D basin model as an input to the inversion to provide geologically consistent spatial constraints to the regional effective stress and temperature estimates. In this case study we review the additional capabilities we’ve incorporated in to the LE inversion of a frontier 3D seismic data set from offshore Nova Scotia.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".