Three-dimensional Marine CSEM Forward Modelling in the Flemish Pass Basin Using Realistic Unstructured Meshes
Bibliographic record
Abstract
Summary Recent seismic data acquired in the Flemish Pass Basin offshore Newfoundland and Labrador shows AVO anomalies in three Tithonian age sands up-dip from where a well was drilled, Mizzen L-11, which indicates a potential for hydrocarbons. As an alternative to fluid substitution, this study considers marine CSEM forward modelling to assess the reservoir potential and de-risk the prospect. In the context of this study, it is important to know if a sensitivity to these Tithonian sands even exists, so a 1D forward modelling analysis for sensitivity was performed. The sensitivities derived from 1D modelling are overestimated due to the 1D assumption, but nonetheless give an indication of the preferred frequencies to use for 3D modelling. The 3D models were built by incrementally adding surfaces to gradually increase complexity resulting in three distinct models. In summary, the constructed models were able to reflect the necessary scale and complexity of the Flemish Pass Basin, and the marine CSEM results generated from these three models were of good quality and convergence. The results and models shown here are preliminary, but they serve as important stepping stones to incorporating reservoir information in upcoming future work.
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How this classification was reachedexpand
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) | 0.002 | 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 teacher head, 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".