Introduction to Crude Oil Wax Crystallization Kinetics: Process Modeling
Bibliographic record
Abstract
We developed a method for measuring and monitoring the crystallization kinetics of waxy crude oils under quiescent milieu. Using a setup based on a cross-polar microscope (CPM), coupled with a high-resolution, autoranging picoammeter, power meter connected to a light detector and a high-definition−high-resolution image processing, we have been able to capture wax particle growth from 1 micron and higher sizes. Both isothermal and non-isothermal kinetics processes were studied. Analysis of the continuous wax particles nucleation, as well as their growth process, of various oil samples from different geographical locations is presented. Results indicate some degree of similarities to trends observed in crystallization kinetics described by both Ozawa ( Polymer 1971, 12, 150) for non-isothermal kinetics and Avrami ( J. Chem. Phys. 1939, 7, 1103) for isothermal kinetics. Empirical models for both isothermal and non-isothermal crude oils crystallization cases are introduced.
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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 | 0.002 |
| 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 | 0.000 | 0.001 |
| 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".