Ni and V removal from oil and model compounds without hydrogenation: Natural chabazite as solid acid
Bibliographic record
Abstract
Abstract Recently, natural chabazite was identified as a catalyst for a novel thermocatalytic oil upgrading process. To further develop this process, it is essential to understand the chemical reactions involved. In this study, up to 67.5 % vanadium removal from oil sands bitumen is obtained without adding hydrogen. Using model compounds, vanadium removals up to 47.9 % and nickel removals up to 3.4 % were obtained after a 1 h reaction at 400 °C. Nickel removal up to 90.0 % at equilibrium and room temperature was observed. Evidence of free‐base porphyrin formation is presented. It was also found that chabazite can catalyze the dealkylation of octaethylporphyrins. The results presented here allow for a better understanding of the chemical properties of chabazite and open the possibility for the creation of pretreatment processes that can remove metals and modify the structure of petroleum‐derived fractions without using hydrogen or rejecting substantial amounts of usable oil.
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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".