Effects of salt crystallization on electric field-induced asphaltene desorption at brine–oil interface: Insights from molecular dynamics simulations
Bibliographic record
Abstract
• Investigated the effect of salt ions on electric field induced desorption of asphaltenes from a brine–oil interface. • Crystallization of NaCl hinders asphaltene desorption by releasing free water to the interface. • Under the same condition, CaCl 2 lacks crystallization tendency and asphaltene desorption increases with electric field. • Electric field induced demulsification is potentially more effective for brine–oil systems containing CaCl 2 compared to NaCl. Water-in-oil or oil-in-water emulsions, typically stabilized by indigenous surface-active components, are ubiquitous in many natural and industrial settings. In petroleum engineering, these emulsions are highly undesirable owing to their adverse effects on water–oil separation, transportation, quality of the oil products, etc . The application of an external electric field has demonstrated its potential as a promising method for demulsification, especially considering its advantages of energy efficiency and environmental compatibility. The demulsification ability of an electric field arises from the desorption of surface-active species (e.g., asphaltenes in petroleum) from the water–oil interface, which reduces the rigidity of the interfacial film and facilitates the coalescence of the emulsion droplets. The natural presence of salt ions in the water phase, however, can impact electric field induced demulsification process, and this potential influence is studied in this work by molecular dynamics simulations. We report an interesting phenomenon where the presence of NaCl in the water phase can hinder the ability of an electric field to desorb asphaltenes from a brine–oil interface. In particular, NaCl ions exhibit a higher probability of crystallization in bulk brine as the electric field increases, and this crystallization releases free water to the brine–oil interface which hampers the desorption of a model asphaltene. In contrast, CaCl 2 lacks the tendency to crystallize, and as the electric field strengthens a continued increase is observed in the desorption of the model asphaltene. Therefore, demulsification by electric field is potentially more effective for brine–oil systems containing CaCl 2 than those containing NaCl. This work highlights the interplay between salt ions and electric field, and how it influences interfacial behaviors of surface-active molecules. The findings could benefit the design and optimization of demulsification technologies in industries such as wastewater management, petroleum processing and other chemical treatments.
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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".