Study of MoS<sub>2</sub> Catalyst Recycle in Slurry-Phase Residue Hydroconversion
Bibliographic record
Abstract
A study of MoS 2 catalyst recycle during slurry-phase hydroconversion of residue oil, under high hydroconversion conditions, is reported. Different concentrations of MoS 2 (100, 300, 600, and 1800 ppm Mo derived from Mo-micelle and Mo-octoate precursors) were investigated in a semibatch stirred reactor. Catalyst recycle was simulated by reusing the solid coke-catalyst recovered from the reactor in subsequent experiments. The process was repeated several times until the catalyst deactivated. The recycled catalyst had a very similar activity to the fresh catalyst in the early stages of recycling. Experimental results showed that with increased catalyst concentration, an increased number of catalyst recycles with acceptable coke yield (<3 wt %) and toluene insoluble organic residue (TIOR) conversion (>80 wt %) were possible before deactivation was observed. At an initial concentration of 600 ppm Mo (using both Mo-micelle and Mo-octoate precursors), the catalysts were recycled 3 times without any significant loss in catalyst activity. Characterization of the recycled coke-catalyst mixture recovered after each recycle showed that coke aging resulted in significant changes to the properties of the recycled coke. While the MoS 2 catalyst was well-dispersed within the coke matrix, the coke’s initial amorphous structure transformed to a more graphitic structure as the number of recycles increased. These changes resulted in catalyst deactivation during hydroconversion.
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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 | 0.000 |
| 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) | 0.000 | 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".