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Prediction of Crude Oil Asphaltene Precipitation Using Support Vector Regression

โœ Scribed by Na'imi, Seyyed Reza; Gholami, Amin; Asoodeh, Mojtaba

Book ID
127384098
Publisher
Taylor and Francis Group
Year
2014
Tongue
English
Weight
380 KB
Volume
35
Category
Article
ISSN
0193-2691

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โœ G. Zahedi; A.R. Fazlali; S.M. Hosseini; G.R. Pazuki; L. Sheikhattar ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 1010 KB

Asphaltene are problematic substances for heavy-oil upgrading processes. Deposition of complex and heavy organic compounds, which exist in petroleum crude oil, can cause a lot of problems. In this work an Artificial Neural Networks (ANN) approach for estimation of asphaltene precipitation has been p