Processability of Canadian synthetic crude oil blended with Chinese dagang crude oil
Bibliographic record
Abstract
To assess the potential for oil sands in China, the processability of oil sands derived synthetic crude oil (SCO) in a typical Chinese refinery was evaluated.The properties of SCO, Chinese Dagang crude oil and a blend oil of SCO and Dagang at 3:7 by weight ratio were also evaluated in this study.The results indicate their gasoline and naphtha fractions cannot be directly used as gasoline as they did not meet the criteria for each distillation range and octane numbers.Their kerosene fractions are not suitable as the feed for the production of jet fuel.Canadian SCO has high diesel yield, but requires further treatment to meet diesel specifications.In addition, fluid catalytic cracking of vacuum gas oil (VGO) and atmospheric residue (AR) fractions of SCO-Dagang Blend was carried out in a confined fluidized bed reactor at various operating conditions.The results show that a blend of SCO and Dagang could increase the distillation yield of diesel at optimal conditions.And the diesel to gasoline ratio of AR FCC was higher than that of VGO FCC.If SCO-Dagang Blend is processed, AR was recommended as the FCC feedstock.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".