Visbreaking Based Integrated Process for Bitumen Upgrading and Hydrogen Production
Bibliographic record
Abstract
Abstract The large Alberta's heavy oil and bitumen reserves demand novel, cost effective upgrading schemes for distillates production and resids disposal. Vacuum resids (VR's 500 ° C+) in average comprise 50 % (w/w) of these reserves. This study presents a new alternative for upgrading VR's by combining three processing steps: I. Production of modified almost instable heavy molecules by mild thermal cracking (Visbreaking, VB), II. Adsorption of modified heavy molecules over inexpensive, tailor-designed porous sorbents/catalysts, III Production of hydrogen via Low temperature Catalytic Steam Gasification (CSG) of the previously adsorbed molecules. Results will be presented on the combined processing as well as using both a model molecule and real feedstock (Athabasca VR) for the adsorption and hydrogen production steps. Introduction Development of cost effective upgrading schemes for Alberta's large hydrocarbon reserves is a must due to their heavy nature. Heavy oils and bitumen typically contain 50 % (w/w), if not more, of components remaining after vacuum distillation. Upgrading technologies rely on carbon rejection schemes or hydrogen addition. For the later, generation of this expensive reagent is always an issue. So far, the most common hydrogen generation process used in the upgrading of heavy hydrocarbons is Steam Reforming (SR) of natural gas and/or naphtha. Nevertheless, both streams have better alternative uses that make the hydrogen production process to have a significant impact on the bitumen upgrading economics. An alternative cost effective way of producing hydrogen could be the selective segregation of a minimal fraction of the heaviest hydrocarbon molecules, those most instable, followed by their gasification at low temperature. This alternative for hydrogen production at the upgrading sites of northern Alberta could be of great interest for both installed and future up-graders. Such a potential application would benefit the quality of the synthetic crude being produced since heavy compounds like asphaltenes considerably contribute to its quality limitations. Additionally, the hydrogen resulting from the gasification of these heavy compounds could either be used for refining purposes or for in-situ reservoir upgrading. For this study a Thermal Cracking process, visbreaking (VB) was used for modification of heavy molecules, since it is a very simple and low cost technology (1). Under VB conditions, residues are simultaneously disproportioned into low molecular weight (MW) distillates and hydrogen deficient bottoms. Further insoluble coke is generated when the process is carried out to higher severities (2,3). VB yield is constrained by the stability of the product. Under typical visbreaking conditions, conversion of naphtenic VR's is limited to around 30 % (w/w). At this conversion level product stability reaches a minimum critical value, commonly expressed by a peptization parameter (P-value) ~ 1.1(4). Instable molecules are the result from recombination of aromatic radicals in a reaction governed by a free radical mechanism. The continuous trend toward instability conditions along a visbreaking process is derived from a couple of simultaneous effects: I. aromatic molecules loose rapidly their alkyl appendages, increasing their aromaticity and, II. the solubilizing maltene phase becomes enriched in alkyl compounds which are not properly suited for maintaining aromatic compounds in solution (4).
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".