Experimental study of ultrasonic radiation on growth kinetic of asphaltene aggregation and deposition
Bibliographic record
Abstract
Abstract Ultrasonic treatment as an economical and green technology has been much attended in petroleum industry, especially for inhibition and removal of asphaltene deposition in the near wellbore region. The performance of ultrasonic waves is affected by different parameters such as time, power, frequency, type of radiation, etc. In this communication, the effects of duration of ultrasonic radiation, power, and stability on asphaltene aggregation were evaluated from a kinetic point of view. In fact, the optimal radiation conditions were determined by comparing the growth kinetics and size distribution of asphaltene particles. The optimal exposure time and power of ultrasonic radiation for the oil sample were obtained at 150 s and 40 W, respectively. In addition, the negative effect of time duration on the aggregated asphaltene particle diameter was observed. The effect of ultrasonic radiation on prevention and removal of asphaltene deposits was examined by observation of changes in asphaltene particle diameter. The results demonstrated the beneficial effect of ultrasonic waves on inhibition of asphaltene deposition. In order to investigate the effect of ultrasound on asphaltene deposition in porous media, the oil sample was radiated with ultrasound at the most optimal conditions, which were obtained in the previous experiments. Moreover, the trend of asphaltene particle deposition in porous media (micromodel) at optimal conditions was compared to the same oil sample without ultrasonic radiation. Comparison of pressure drop curves showed that the use of ultrasound in determined optimum conditions reduces the amount of asphaltene deposition.
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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".