Optimization of Kihara potential parameters for gas hydrate prediction in the presence of electrolytes
Joint Authors
Source
The Arabian Journal for Science and Engineering. Section B, Engineering
Issue
Vol. 22, Issue 2B (31 Oct. 1997), pp.295-309, 15 p.
Publisher
King Fahd University of Petroleum and Minerals
Publication Date
1997-10-31
Country of Publication
Saudi Arabia
No. of Pages
15
Main Subjects
Abstract EN
Ideal solid solution theory of van der Waals with Kihara potential are used for predicting hydrate formation conditions in pure water and electrolyte solutions.
Kihara potential parameters are optimized for gas-water interactions in hydrate lattice from experimental hydrate formation data of pure or mixed gases in pure water.
The optimized Kihara potential parameters with a model that incorporates temperature dependency of water activity are used to predict hydrate formation conditions in electrolyte solutions.
The results show good agreement between experimental data and predicted values.
The ability of the proposed model is also compared with other models.
American Psychological Association (APA)
Rahimiyan, S.& Moshfeghian, M.. 1997. Optimization of Kihara potential parameters for gas hydrate prediction in the presence of electrolytes. The Arabian Journal for Science and Engineering. Section B, Engineering،Vol. 22, no. 2B, pp.295-309.
https://search.emarefa.net/detail/BIM-390289
Modern Language Association (MLA)
Rahimiyan, S.& Moshfeghian, M.. Optimization of Kihara potential parameters for gas hydrate prediction in the presence of electrolytes. The Arabian Journal for Science and Engineering. Section B, Engineering Vol. 22, no. 2B (Oct. 1997), pp.295-309.
https://search.emarefa.net/detail/BIM-390289
American Medical Association (AMA)
Rahimiyan, S.& Moshfeghian, M.. Optimization of Kihara potential parameters for gas hydrate prediction in the presence of electrolytes. The Arabian Journal for Science and Engineering. Section B, Engineering. 1997. Vol. 22, no. 2B, pp.295-309.
https://search.emarefa.net/detail/BIM-390289
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 308-309
Record ID
BIM-390289