Decontamination of a Vacuum Distillation Unit: Mechanical versus Chemical Cleaning; a Case Study
Bibliographic record
Abstract
Abstract Vacuum Distillation is a key aspect of the petroleum refining process, with over 80% of US refineries and nearly all Canadian refineries and upgraders capitalizing on the operational benefits of this unit. A secondary processing unit, the vacuum distillation unit (VDU) receives the heavy bottoms from the atmospheric distillation unit (ADU) and further separates them with the benefit of vacuum pressure to prevent the cracking, or break down, of the oil. The VDU is composed of an outer shell, distillation columns and a fired heat exchanger. When fouled with heavy residuum, the efficiency of the heat exchange process declines, reducing throughput and flow rate, and can introduce hot spots in the system leading to coking of the oil in the VDU. Maintenance of these units is imperative to the refining process; however, potential contamination by the heavy residuum poses significant environmental and health issues when the exchanger unit is pulled from the column. Here, the benefits and limitations of mechanical steam out and high-pressure water blasting (HPWB) versus vapour phase chemical cleaning of these units is discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".