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

Chemistry

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