Hydrocracking of Athabasca Bitumen Using Submicronic Multimetallic Catalysts at Near In-Reservoir Conditions
Bibliographic record
Abstract
NiWMo submicronic catalysts from emulsified metallic aqueous solutions were tested for Athabasca bitumen upgrading. The experiments were performed in a batch reactor (100 mL capacity) at a total pressure of 3.45 MPa, a stirring speed of 500 rpm, reaction times of 3−70 h, and temperatures from 320 to 380 °C. Ultradispersed (UD) catalysts enhanced the upgrading of Athabasca bitumen by increasing the hydrogen/carbon ratio and reducing both viscosity and coke formation. The conversion of bitumen increased with both the temperature and reaction time, whereas viscosity, sulfur, and microcarbon residue (MCR) in the reaction products decreased. Catalytic particles tend to agglomerate and become incorporated within the incipient coke matrix that develops at a residue conversion beyond 50 wt %. Nevertheless, good properties of upgraded oil (API gravity, 16°; viscosity at 40 °C, 60 cP; and MCR, 11.1 wt %) are obtained during processing before the onset of solids precipitation.
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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 | 0.000 |
| 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".