Internal Gas–Liquid Separation in Industrial Ebullated Bed Hydroprocessors
Bibliographic record
Abstract
Ebullated bed reactors used in heavy oil upgrading internally recycle up to 90% of net liquid flow to maintain fluidized conditions. Internal phase separators result in significant gas re-entrainment within the recycled liquid, leading to high gas holdup (40 to 60%), reduced processing capacity, and over-cracking of vapor products. Phase separation in two commercial designs is assessed using computational fluid dynamics and compared to pilot-scale results. Liquid short-circuiting within first-generation recycle pan designs was identified as a key factor, leading to a reduced separation efficiency of 1 to 2 mm bubbles compared to second-generation flow-through designs. Negligible performance improvements were observed for <1 mm bubbles, highlighting the need to exercise caution when scaling these designs to hydroprocessing conditions where submillimeter bubble sizes are predominant. A practical correlation for gas separation efficiency based on the liquid residence time is proposed and compared to numerical and experimental data.
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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".