A Population Balance Model for Emulsion Behavior of Alkaline Water–Heavy Oil Systems in Bulk Phase
Bibliographic record
Abstract
Experimental and theoretical techniques have been developed to quantify the behavior of alkaline water–heavy oil emulsion systems at high pressures and elevated temperatures. Experimentally, initial emulsions were prepared by agitating either sodium carbonate (Na 2 CO 3 ) solution or sodium hydroxide (NaOH) solution with heavy oil samples inside a visualized PVT cell. After being settled for a certain period of time, the phase volume of the in situ generated water-in-oil (W/O) emulsion was monitored, and the local water content distribution within each dual-emulsion system was measured. Experiments with the same composition and mixing condition, but with different settling times, were conducted to track the continuous water content distribution. Mathematically, two groups of population balance equations (PBEs) were modified and applied to quantify the phase behavior during the emulsion destabilization process with the consideration of coalescence, settling, and diffusion of the dispersed droplets as well as the mass transfer between emulsion phases. To quantify the mass transfer between the W/O and oil-in-water (O/W) emulsion phases, the measured emulsion inversion point (EIP) was used as the interface boundary condition of the dual-emulsion systems. Both the fixed-pivot technique and a semi-implicit finite difference approach were applied for discretizing the internal coordinate (droplet volume) and the external coordinates in time and space domains, respectively. By assuming the dispersed droplets as a log-normal distribution, the genetic algorithm (GA) was applied to optimize the coalescence efficiency by using the experimental measurements as well as the water droplet distribution in the W/O emulsion phase. Because of the corresponding changes of oil viscosity and interfacial tension (IFT), either an increase in temperature or a decrease in pressure leads to a smaller EIP and higher coalescence efficiency. As a weak alkali, Na 2 CO 3 facilitates the stabilization of the emulsion and inhibits the influence of higher temperatures, while NaOH solution–heavy oil systems achieve emulsion inversion more easily.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".