Upgrading of Canadian Oil Sand Bitumen via Cracking and Coke Gasification: Effect of Catalyst and Operating Parameters
Bibliographic record
Abstract
Canadian oil sand bitumen was stepwise converted via an integrated cracking and coke gasification (ICCG) process. The cracking behaviors of oil sand bitumen were investigated in a fluidized bed reactor with FCC and bifunctional (BFC) catalysts, respectively. The BFC catalyst specialized for the ICCG process was designed with both cracking and gasification activities. The results showed that the liquid yield of 78 wt % and conversion ratio of 87% of oil cracking could be simultaneously realized over hydrothermally treated catalysts (A-FCC and A-BFC) at 510 °C. The cracking performance of catalysts was closely related with their acidity, as indicated by NH 3 -TPD analysis. Coke deposit on the catalyst could lead to severe pore blockage. Catalyst regeneration via coke gasification could recover its pore structures and meanwhile produce high-quality syngas with the sum of H 2 and CO up to 80 vol %. Comparing with FCC catalysts, the regeneration (coke gasification) time over BFC catalysts was shortened by about 30% due to its well-developed pores and high alkaline oxides content, and these effects could be further enhanced by impregnating potassium oxides as catalytic additives. Finally, the alternating cracking-gasification operation was conducted for four cycles to justify the stability of BFC catalyst. The newly designed amorphous BFC catalyst exhibited high hydrothermal stability and could be potentially used for oil sand bitumen upgrading via the ICCG process in a large scale.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".