Delineating a sand reservoir using inversion of 3C‐3D seismic data
Bibliographic record
Abstract
A 3C-3D surface seismic survey was acquired over Husky Energy's Ross Lake heavy oilfield in south-western Saskatchewan. Production is from a sand reservoir in the clastic section. We previously generated a Vp/Vs map by combining PP and PS travel time thickness maps that included the reservoir interval. We compare this traveltimebased Vp/Vs to that generated from impedance inversions performed on the post-stack PP and PS data. The impedance-based Vp/Vs is calculated by dividing the average of the inverted P-impedance over an 8ms horizon-based time window by the average of the inverted S-impedance over the same window. The impedance-based estimate appears to have higher vertical resolution. While the Vp/Vs value derived from impedance inversion is generally lower than the Vp/Vs derived from the time-thickness ratios, they indicate similar anomalous areas. We interpret these as being sand rich. The impedance Vp/Vs and traveltime Vp/Vs values show promising new anomalies.
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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 | 0.002 | 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".