Sustainable waste management: recovery of fuels from petroleum sludge
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
Petroleum sludge is a complex mixture of hydrocarbons, water, metals, and suspended fine solids. The objective of this research was to develop a technique that will lead to the separation of phases ready for further reuse. A study was carried out to investigate a combination of various systems of electrokinetic cells, to which oily sludge, conditioning liquids, and different electrical potentials were applied. The developed electrokinetic phase separation is a new cost-effective technology, which in turn will permit the revitalization of petroleum sludge. This method can significantly reduce the amount of wasted sludge and can recover new fuels free of metals and water. Life cycle analysis of the recovered fuel shows that a new petroleum waste management protocol might reduce emissions of major greenhouse gases such as CO 2 , CH 4 , and N 2 O by 40 026 000, 1057, and 566 kg, respectively, per refinery per year.Key words: oily sludge, electrokinetics, fuel recovery, sustainable management, life cycle analysis.
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 | 0.000 |
| 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 it