Effect of Inlet Configurations on the Separation Efficiency of FreeWater Knock Out Vessel
Bibliographic record
Abstract
The FWKO (free water knock out) vessel is a device that separates bitumen emulsion extracted from oil sands into water and oil.The separation occurs due to gravity settling, which is influenced by the density difference between the water and oil.The residence time of the bitumen emulsion inside the pressure vessel is therefore crucial.This can be increased by primary control of the flow from the inlet.In this study, the residence time and separation efficiency of water-oil separators with four different inlet configurations were compared by numerical analysis.The FWKO pressure vessel is a horizontal type with a wide interface for high separation efficiency, and a porous baffle is configured to reduce the sloshing phenomenon of the flow.The oil-water separator employed in this study has a flow rate of 60 BPD (barrels per day) and a value of 2.2 SOR (steam-to-oil ratio), and was designed in accordance with Stokes theory.The working fluids are water, oil and gas, and the finite volume of fluid (VOF) method was employed to simulate the gravity separation process due to density differences in multiphase flows.The FWKO pressure vessel model stabilizes over time, allowing for a steady-state analysis where the flow does not change over time.Therefore, a pseudo-transient analysis technique was used.Fluent by ANSYS was employed for the numerical analysis, and lattice dependence tests were conducted to ensure the efficiency of the numerical analysis.Based on these numerical simulation conditions, the internal flow characteristics, and separation efficiency of the four different FWKO inlet configurations were compared and analysed.
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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".