Oil Sands Steam-Assisted Gravity Drainage Process Water Sample Aging during Long-Term Storage
Bibliographic record
Abstract
Technology development activities are routinely performed using process water samples collected and stored for several months while tests are being conducted. The results of the technology development activities are highly correlated to the water composition and properties. Processes such as atmospheric oxygen contamination, microbiological activity, and ultraviolet (UV) oxidation have the potential to act on a sample during long-term storage and modify the properties that may be relevant to technology development testing. These changes are referred to as “aging”. Process water samples collected from a steam-assisted gravity drainage (SAGD) bitumen production plant were subjected to different storage conditions and monitored for nearly 5 months. The sample organic composition and physical characteristics of the water were found to be highly dependent upon storage conditions, particularly atmospheric oxygen exposure. Oxygen exposure appeared to drive abiotic polymerization and precipitation of phenolic species and promote aerobic microbiological activity. These results highlight the importance of excluding oxygen from the sample during collection and storage activities. Sample aging must be accounted for in technology development testing activities.
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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 | 0.000 | 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".