Solvent recovery in solvent deasphalting process for economical vacuum residue upgrading
Autor: | Nam Sun Nho, Soo Ik Im, Ki Bong Lee, Sangcheol Shin, Seonju Ahn |
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Rok vydání: | 2015 |
Předmět: |
Chromatography
General Chemical Engineering Butane 02 engineering and technology General Chemistry 021001 nanoscience & nanotechnology Catalysis API gravity Solvent chemistry.chemical_compound Boiling point 020401 chemical engineering chemistry Chemical engineering Propane Isobutane 0204 chemical engineering 0210 nano-technology Asphaltene |
Zdroj: | Korean Journal of Chemical Engineering. 33:265-270 |
ISSN: | 1975-7220 0256-1115 |
DOI: | 10.1007/s11814-015-0146-3 |
Popis: | The solvent deasphalting (SDA) process is a heavy oil upgrading process and used to separate asphaltene, the heaviest and most polar fraction of vacuum residue (VR) of heavy oil, by using density differences, to obtain deasphalted oil (DAO). The SDA process consists of two main stages: asphaltene separation and solvent recovery. Solvent recovery is a key procedure for determining the operating cost of the SDA process, because it uses a considerable amount of costly solvent, the recovery of which consumes huge amounts of energy. In this study, the SDA process was numerically simulated by using three different solvents, propane, n-butane, and isobutane, to examine their effect on the DAO extraction and the effect of the operating temperature and pressure on solvent recovery. The process was designed to contain one extractor, two flash drums, and two steam strippers. The VR was characterized by identifying 15 pseudo-components based on the boiling point distribution, obtained by performing a SIMDIS analysis, and the API gravity of the components. When n-butane was used, the yield of DAO was higher than in the other cases, whereas isobutane showed a similar extraction performance as propane. Solvent recovery was found to increase with temperature and decrease with pressure for all the solvents that were tested and the best results were obtained for propane. |
Databáze: | OpenAIRE |
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