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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".