Processing and Interpretation of Time-Lapse Seismic Data from a Heavy Oil Field, Alberta, Canada
Bibliographic record
Abstract
The monitoring of a SAGD heavy oil reservoir is commonly executed through time-lapse 3D seismic surveying, focused on identifying areas of steam stimulation by tracking the movement of a steam front, and identifying areas of bypassed reserves. In this thesis, we processed and interpreted a 4D - 3C seismic dataset, identified time-lapse amplitude anomalies and isochron time-delays associated with the injection of high volumes of steam into a McMurray Formation reservoir. Through processing, and the application of a novel calibration procedure, non-production related differences between the baseline and monitor seismic surveys were minimized. Production-related differences were analyzed through a variety of geophysical techniques, and were projected into a map display to delineate the spatial position of the reservoir steam zones. It was interpreted that the observed amplitude anomalies corresponded to steam injection, while concurrent time-delays represent reservoir heating above pre-injection ambient temperatures.
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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 | 0.000 | 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".