FCC Study of Canadian Oil-Sands Derived Vacuum Gas Oils. 2. Effects of Feedstocks and Catalysts on Distributions of Sulfur and Nitrogen in Liquid Products
Bibliographic record
Abstract
This study was conducted in an effort to learn more about the roles of feedstock and catalyst in the distributions of sulfur and nitrogen in liquid products after catalytic cracking. A hydrotreated coker gas oil, a hydrotreated deasphalted oil, a virgin gas oil, all derived from Canadian oil-sands bitumen, were catalytically cracked in a fluid bed microactivity test (MAT) unit with two commercial catalysts. These were the equilibrium catalysts, bottoms-cracking and octane-barrel catalysts, respectively, both containing active matrixes. The cracked liquid products were analyzed for sulfur and nitrogen distributions with boiling point, from which the sulfur and nitrogen contents of gasoline, light cycle oil (LCO), and heavy cycle oil (HCO) fractions were determined. Variations of concentrations in each product cut with conversion were discussed, along with the hydrogen transfer indices of catalysts and the hydrogen yields of feeds. The overall distribution of feed sulfur in cracked products, and the relationship of the sulfur content of feed with that of LCO, confirmed the findings reported in the literature. The same three feeds were also cracked with the octane-barrel catalyst in a riser pilot plant. The sulfur and nitrogen concentrations in each product fraction from MAT were found to be in reasonably good agreement with those obtained from the riser pilot plant operation. Results from this study will provide the scientific community with a better understanding about the cracking chemistry of sulfur- and nitrogen-containing species in gas oils under different test environments.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".