Promising prospects of thermal partial upgrading in reducing diluent requirements for bitumen transportation
Bibliographic record
Abstract
• The study integrates partial upgrading and diluent addition to overcome existing limitations. • Olefin reduction in a thermally cracked naphtha is investigated via an acid-catalyzed hydration process. • Partial upgrading with no residence time cuts diluent need from ∼33 vol.% to 9%. • Acid-catalyzed hydration reduces olefin content in the naphtha sample by approximately 52%. Diluent addition and partial upgrading are two distinct techniques aimed at reducing the viscosity of bitumen and enhancing its transportability to refineries. Nevertheless, each method has its own limitations. A practical solution to overcome these challenges, which constitutes the primary objective of this research, is to integrate thermal partial upgrading with diluent addition. The first step of the study entailed thermal partial upgrading of bitumen at 420 °C with no residence time at target temperature. The process notably reduced bitumen viscosity from 169,000 cSt to 752 cSt at 21 °C with minimal coke formation of only 0.03 wt% and gas production of 2.16 wt%. Analysis of the bitumen and upgraded oil compositions revealed that around 20 % of the vacuum residue fraction in the bitumen was converted into the light cut fraction during the upgrading process. Additionally, the total acid number (TAN) decreased from 2.5 to 1.09 mg KOH/g. Asphaltene contents decreased by approximately 3 %, while nitrogen and sulfur contents reduced by around 35 % and 15 %, respectively. However, the olefin content in the upgraded oil (1.89 wt%) slightly exceeded the limit allowed for pipeline transportation (1.0 wt%). In the subsequent step, diluent was added to the partially upgraded oil to meet the viscosity requirements, and the solvent needed for feed bitumen was quantified. The thermal partial upgrading reduced the need for diluent from approximately 33 vol% to 9 vol%. Eventually, acid-catalyzed hydration was suggested as a potential technique for reducing the olefin levels to address the issue of high olefin content. As olefins generated through thermal cracking tend to accumulate in lower boiling fractions such as naphtha (boiling point ≤ 175 °C), acid-catalyzed hydration was examined on a naphtha sample obtained from a thermal partial upgrading process. The proposed approach in this study holds promise for enhancing bitumen processing capacity through no residence time at target temperature while diminishing the need for diluent.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".