Settling Properties of Asphaltene Aggregates
Bibliographic record
Abstract
Stokes law is the fundamental equation to describe the settling velocity of a particle for small Reynolds number flow and is applicable when the particle is spherical and impermeable. However, this equation is not suitable to describe the settling of porous aggregates found in many industrial applications, because of the nonsphericity and flow through the pores of the aggregates. Free-settling tests were used in the present work to estimate asphaltene aggregates porosity and effective density. The settling velocities of individual asphaltene aggregates are measured in a quiescent column via a photographic technique. Data analysis was conducted with a video frame grabber and digital imaging software, to determine the particle size, shape, and settling velocity. Results show that the aggregate size (area-equivalent diameter) determined from the video images ranged from 20 μm to 200 μm and the measured settling velocities varied from 100 μm/s to 564 μm/s. Settling velocity measurements indicated an inverse relationship between aggregate size and density. The reduced aggregate density with increasing size was attributed to the entrainment of fluid into the aggregate structure. These porous aggregates further collided with each other to form increasingly more-porous structures. An analysis was performed to understand the importance of aggregate fractal structure and its effective density on the settling velocity. The size-density fractal dimension of the asphaltene aggregates was estimated to be in the range of D 3 = 1.3−2.0. These relatively low fractal dimensions suggest that the asphaltene aggregates are highly porous and very tenuous.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".