Comparison of the morphology, facies, and reservoir quality of valley fills in the southern Athabasca Oil Sands Region, Alberta, Canada
Bibliographic record
Abstract
Abstract Valley fills in the McMurray Formation contain the main reservoirs of the southern Athabasca Oil Sands Region (AOSR), which are typically exploited by steam-assisted gravity drainage (SAGD). Despite the importance of the bitumen resources they contain, a comprehensive regional assessment of valley-fill geometry, planform morphology, and reservoir quality is lacking. To remedy this, a data set of 214 logged cores, hundreds of core photographs, 14,000 wire-line logs, and three-dimensional seismic data is used to map four McMurray Formation parasequence sets in the southern AOSR and determine the geometry and reservoir quality of associated valley fills. The valley fills represent a complex network of sediment-routing systems that ultimately moved sediment north, toward the Boreal Sea. They are mainly composed of fluvial or tidally influenced point-bar deposits laid by rivers of varying width and depth. Between valley fills, the reservoir parameters governed by depositional architecture (i.e., sandstone porosity, shale volume, and net-to-gross) vary by less than 3%, with few exceptions. At a high level, this suggests that for analogue-based SAGD production forecasting, all projects exploiting valley-fill deposits are potential analogues to one another, regardless of the valley fill’s stratigraphic age. The regional maps produced by this study can be used to investigate upstream–downstream sedimentological, ichnological, and morphological trends that may reveal critical insights into depositional processes and environments. Additionally, the devised stratigraphic framework can be employed when mapping point-bar deposits to predict facies changes in a formation that is particularly heterolithic and laterally discontinuous.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| 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".