Recent advances on mitigating wax problem using polymeric wax crystal modifier
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The petroleum industry has addressed wax problems since its inception. Every year, considerable resources are expended on wax removal, which accordingly cause significant economic loss. As one of the materials in chemical treatments, polymeric compounds referred to as “wax-crystal modifier”, is being widely used to improve flow properties and/or combat wax deposition for waxy crude oils. This article reviews the recent achievements with regard to the flow improvement and wax inhibition of waxy oils using traditional polymeric wax crystal modifiers, such as ethylene–vinyl acetate (EVA), poly(ethylene–butene) (PEB), and polyethylene-poly(ethylene–propylene) (PE-PEP), as well as the development of novel polymers for potential use in the near future. The goal of this review is to assist people understand the advances in this topic.
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.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it