Bibliographic record
Abstract
Abstract For economic steam assisted gravity drainage (SAGD) (Butler, 1991) (producer/injector) horizontal well pairs have horizontal well lengths of 850 to over 1000 meters. Since the unconsolidated McMurray reservoir is made up of predominately quartz grains of variable sizes, these producing horizontal wells require liners that are capable of controlling the inflow of sand, minimizing pressure drops across the liner (clogging) and allowing unconstrained fluid production. Devon Energy has developed a workflow to characterize the particle size and sorting of the reservoir into four statistical bins or sand types. Since numerous sand control technologies are now currently available to SAGD producer wells, Devon initiated a sand control and liner evaluation study to determine appropriate liner designs and aperture sizing specific to these known sand types. The study objective was to characterize the varying sands encountered in the Jackfish and Pike reservoirs, test these sands with industry sand control test procedures and recommend the optimal liner deployed sand screen technology. This paper will provide a detailed overview of Devon's McMurray sand control test program and subsequent recommendation to deploy wire wrap screen for thermal producers with specific sand signatures. Devon will also introduce its own in-house designed sand control test apparatus.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".