Delineating a sandstone reservoir at Pikes Peak, Saskatchewan using 3C seismic data and well logs
Bibliographic record
Abstract
To maximize the production from mature fields, it is important to know the shape of the reservoir and its continuity. In this paper, well log data and multicomponent seismic are combined to delineate a sandstone reservoir at the Pikes Peak heavy oil field, Saskatchewan. We generate PP and PS synthetic seismograms to correlate events with the surface seismic data. The productive formation has a Vp/Vs value noticeably lower (1.7) than the overlying formations (which are around 4.4). The top of the productive interval is interpreted as a PP impedance drop (to 5010 m/s*g/cc) and PS increase (to 3066 m/s*g/cc). Inversion and various seismic attributes were used to predict the density along the seismic line: the Waseca oil sands are characterized as a low-density (2.17 g/cc) zone.
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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 | 0.001 | 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) | 0.000 | 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 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".