Synthetic seismograms from borehole seismic data and well logs, Beaufort-Mackenzie Basin
Bibliographic record
Abstract
Borehole seismic survey data are compiled for 202 wells in the Beaufort-Mackenzie Basin, including vertical seismic profile, check shot and crystal cable surveys. On the basis of the well seismic data, well logs and deviation survey data (for deviated wells), synthetic seismograms are generated for the 202 wells using Well Editor (GeoGraphix, R2007.2). The resulting synthetics are illustrated with a time/depth window, well logs, well seismic data, calculated velocity, as well as stratigraphic information and casing shoe depths. The presentation of results provides key time-depth relationships important to seismic interpretation, but it also shows log responses in the time domain to rationalize reflection events by effectively tying well tops and other levels to surface-seismic reflection profiles. The information is also useful for the identification of permafrost (Hu et al., 2013) and gas hydrate zones as well as for other types of sedimentary basin studies.
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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 | 0.001 | 0.001 |
| 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 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".