Evaluation of SAGD Performance in a Deltaic Environment
Bibliographic record
Abstract
Abstract The depositional setting of the McMurray Formation within the main Athabasca fairway has been extensively studied by industry and is well documented in the literature. Much crown land in this easternmost part of the Athabasca Oil Sands Area (AOSA) is currently being drilled and geologically characterised with the aim of in-situ thermal extraction methods, such as SAGD. Reservoirs in this region consist of tidally-influenced channel sands and open estuarine tidal sand bars. There are, however, new plays being discovered in the northwestern part of the AOSA that represent strikingly different depositional environments. Athabasca Oil Sands Corp. (AOSC) holds extensive oil sands assets in this western region of AOSA, and has discovered thick, good quality bitumen pay within the McMurray Formation. Depositional environments of the McMurray Formation in this region contrast significantly to those reservoirs located within the main fairway to the east. This paper will describe the depositional environment, the building of a numerical simulation model to represent this reservoir, and the results of simulation studies predicting the performance of SAGD behaviour in this particular depositional setting.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".