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Type
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Conference
Paper
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Authors
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Notes:
Mohammad Vakilinejad, Mechanical Engineering Department, Faculty of Engineering, University of Tehran, Tehran, Iran, was with the Petroleum & Chemical Engineering Department, Sultan Qaboos University, Muscat, Oman during summer 2013. Jiali Xia, School of Chemical Engineering, Ningbo University o f Technology , China. Rashid S. Al – Maamari, Petroleum & Chemical Engineering Department, Sultan Qaboos University, Muscat, Oman. Nab eel Al – Rawahi, Mechanical & Industrial Engineering Department, Sultan Qaboos University, Muscat, Oman. Gholamreza Vakili – Nezhaad, Petroleum & Chemical Engineering Department, Sultan Qaboos University, Muscat, Oman |
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URL
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Free
Full Text Source: http://iieng.org/siteadmin/upload/1502E0114089.pdf
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Place
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Dubai
(UAE)
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Date
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January
8-9, 2014
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Conference
Name
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International
Conference on Machine Learning, Electrical and Mechanical Engineering
(ICMLEME'2014) Jan. 8-9, 2014 Dubai (UAE)
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Abstract
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Density
and speed of sound have been accurately measured at atmospheric pressure and
different temperatures for n - decane, n - hexadecane, and three different
types of Omani crude oil samples.
These crude samples cover the light, medium and heavy oils from different oil fields. A general correlation has been developed to correlate density and speed of sound for the mentioned samples. Statistical analysis on the obtained correlations has shown accurate predictions using the proposed correlations |
Wednesday, October 15, 2014
Density correlation of some pure hydrocarbons and crude oil samples with the speed of sound
Density
correlation of some pure hydrocarbons and crude oil samples with the speed of
sound
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