Dry Petroleum Coke Gasification in a Pilot-Scale Entrained-Flow Gasifier and Inorganic Element Partitioning Model
Why this work is in the frame
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Bibliographic record
Abstract
Entrained-flow gasification has several advantages over competing technologies for converting petroleum coke, a byproduct of oil refining. However, due to the high capital costs and limits of current commercial technology, the economics look favorable only with high natural gas and oil prices, and high CO 2 emission penalties. The objective of the current study is to accelerate the development of petroleum coke gasification technologies via dry-feed pressurized entrained-flow gasifier pilot-scale tests with petroleum coke. The results indicate carbon conversion generally increased with higher O:C ratios. Thermodynamic model predictions generally vary by less than 25% from the experimental outlet gas flow rates of the main species, CO and H 2 . The predicted flow rates for other gases vary much more from experimental values, while the predicted carbon conversion values are similar (±16 percentage points), and the predicted temperatures are mostly lower than experimental values. Mass balances and enrichment factors were calculated for inorganic elements due to their potential environmental and technological impact. In general, results from this study indicate similar or lower volatility for elements when compared to combustion systems. An inorganic element partitioning model is presented and compared to experimental values. Considerations for other types of petroleum coke are also provided.
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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 it