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Title: Dew point pressure prediction based on mixed-kernels-function support vector machine in gas-condensate reservoir

Authors:
; ; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1564349
Grant/Contract Number:  
PI0000017
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Fuel
Additional Journal Information:
Journal Name: Fuel Journal Volume: 232 Journal Issue: C; Journal ID: ISSN 0016-2361
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Zhong, Zhi, Liu, Siyan, Kazemi, Mohammad, and Carr, Timothy R. Dew point pressure prediction based on mixed-kernels-function support vector machine in gas-condensate reservoir. United Kingdom: N. p., 2018. Web. doi:10.1016/j.fuel.2018.05.168.
Zhong, Zhi, Liu, Siyan, Kazemi, Mohammad, & Carr, Timothy R. Dew point pressure prediction based on mixed-kernels-function support vector machine in gas-condensate reservoir. United Kingdom. doi:10.1016/j.fuel.2018.05.168.
Zhong, Zhi, Liu, Siyan, Kazemi, Mohammad, and Carr, Timothy R. Thu . "Dew point pressure prediction based on mixed-kernels-function support vector machine in gas-condensate reservoir". United Kingdom. doi:10.1016/j.fuel.2018.05.168.
@article{osti_1564349,
title = {Dew point pressure prediction based on mixed-kernels-function support vector machine in gas-condensate reservoir},
author = {Zhong, Zhi and Liu, Siyan and Kazemi, Mohammad and Carr, Timothy R.},
abstractNote = {},
doi = {10.1016/j.fuel.2018.05.168},
journal = {Fuel},
number = C,
volume = 232,
place = {United Kingdom},
year = {2018},
month = {11}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1016/j.fuel.2018.05.168

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