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Advances in predicting heavy feedstock process ability
Joint Authors
Speight, James G.
Schabron, John F.
Source
The Arabian Journal for Science and Engineering
Issue
Vol. 21, Issue 4B (s) (31 Oct. 1996), pp.663-678, 16 p.
Publisher
King Fahd University of Petroleum and Minerals
Publication Date
1996-10-31
Country of Publication
Saudi Arabia
No. of Pages
16
Main Subjects
Abstract EN
Upgrading of heavy oils and residua can be designed in an optimal manner by performing selected evaluations of chemical and structural features of these heavy feedstocks.
The evaluation schemes do not need to be complex, but must focus on key parameters which affect processability.
For example, the identification of the important features can be made with a saturates, aromatics, polars, asphaltenes (SAPA) separation and subsequent analysis of the fractions, with emphasis on the asphaltenes since the solubility of asphaltenes and asphaltene products during upgrading has a dramatic affect on solids deposition and coke formation.
Further evaluation of the asphaltenes can lead to correlation with process behavior.
Useful information can be gained from knowledge of elemental composition and molecular weight, and size exclusion chromatography and high performance liquid chromatography profiles
American Psychological Association (APA)
Schabron, John F.& Speight, James G.. 1996. Advances in predicting heavy feedstock process ability. The Arabian Journal for Science and Engineering،Vol. 21, no. 4B (s), pp.663-678.
https://search.emarefa.net/detail/BIM-394202
Modern Language Association (MLA)
Schabron, John F.& Speight, James G.. Advances in predicting heavy feedstock process ability. The Arabian Journal for Science and Engineering Vol. 21, no. 4B (s) (Oct. 1996), pp.663-678.
https://search.emarefa.net/detail/BIM-394202
American Medical Association (AMA)
Schabron, John F.& Speight, James G.. Advances in predicting heavy feedstock process ability. The Arabian Journal for Science and Engineering. 1996. Vol. 21, no. 4B (s), pp.663-678.
https://search.emarefa.net/detail/BIM-394202
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 677-678
Record ID
BIM-394202