VSP analysis at the Ross Lake heavy oilfield, Saskatchewan
Bibliographic record
Abstract
In June 2003, the CREWES Project, Husky Energy Inc., and Schlumberger Canada conducted a multi-offset VSP survey at Ross Lake oilfield, Saskatchewan. This paper describes processing two of the data sets with vibrator source offsets of 53m and 400m. The processing results have a frequency bandwidth from 10Hz to 90Hz. The corridor stack (from 53m offset) ties the offset section (from 400m) nicely as well as the synthetic seismogram generated from wireline log data. Q values for both P wave and shear wave were also estimated through spectral ratio method. We extracted Qp values from 28 to 51 over the interval of 450m to 1000m and Qs values from 6 to 22 over the interval of 200 to 800m. Observed velocity dispersion across the spectrum from sonic to seismic frequencies is consistent with the previous Q values.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".