Exploring the Potential of Raman Spectroscopy for Characterizing Olefins in Olefin-Containing Streams
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Olefins are highly reactive hydrocarbon compounds that are often found in cracked petroleum and renewable-based products and may be responsible for the formation of gums and solid deposits in storage tanks, refining equipment, and vehicle fuel systems. Several government environmental regulations and industrial specifications are in place to control the levels of olefins in both unprocessed and finished petroleum products. This creates an urgent need for rapid monitoring of olefin levels in petroleum products. Most of the analytical methods currently used for olefin determination have several significant shortcomings, including long analysis times, the need for expensive equipment, high solvent usage, the requirement for high-purity gases (carrier or swift gases), and poor suitability for process monitoring. This paper presents a qualitative and semi-quantitative study of olefins in petroleum samples using Raman spectroscopy. A mixture of unsaturated model hydrocarbons was prepared to demonstrate the suitability of Raman spectroscopy for the determination of olefin contents in petroleum samples. The Raman spectra of the mixture and its individual components were obtained, and the C═C region was used to calculate the integrated area of the region against the olefin concentration. The results show that semi-quantitative analyses for similar mixtures are feasible, and the limit of detection of olefinic species in this particular naphtha is estimated to be approximately 1 vol %. The study also shows that different olefinic species generally do not exhibit the same molar C═C intensities, which may limit the accuracy of quantitative work. The proposed approach for olefin determination may be limited, but it can be developed and utilized for the determination of olefin concentrations in samples containing similar types of olefins and blended in a similar naphtha matrix. The study emphasizes the importance of the calibration procedure being sensitive to the type of selected olefin standards and the nature of the hydrocarbon matrix in the blend.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".