Frontier exploration: Lithology and fluid insights via forward modeling from locally constrained regional rock physics, Chidley Basin, Newfoundland and Labrador, Canada
Bibliographic record
Abstract
Forward modeling of a Miocene prospect (Plum Point) from recently acquired long offset, 2D broadband seismic demonstrates evidence of multiple fluids phases within the Chidley Basin, offshore Labrador. The presence of liquid hydrocarbons in what has generally been thought of as a gas prone region has the potential to generate interest in a frontier, undrilled basin. This modeling contributes to the ongoing de-risking work in an unexplored basin where anomalous AVO signatures show potential prospects but where limited constraints on rock properties, due to lack of well data, create uncertainty in the interpretation of the seismic amplitude responses. This particular QI workflow moves through the generation of expected elastic and geologic properties of the Plum Point prospect using regional rock physics relationships, compaction trends and locally constrained data. The resulting expected properties are subsequently perturbed to best fit the pre-stack seismic response by incorporating empirical rock physics models as constraints to the perturbation analysis. This methodology allows for deterministic prediction of reservoir properties, represented in a detailed 2D seismic model. Presentation Date: Monday, September 16, 2019 Session Start Time: 1:50 PM Presentation Time: 2:40 PM Location: 217B Presentation Type: Oral
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".