DocumentCode
581856
Title
A wax deposition rate model for multiple crude oil
Author
Jinfang, Zhang ; Yuanzheng, Jiang ; Yanqin, Li
Author_Institution
Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
fYear
2012
fDate
25-27 July 2012
Firstpage
1956
Lastpage
1961
Abstract
Based on the wax deposition data, the paraffin deposition law for three kinds of crude oil in spots are summarized and the relationship between the wax deposition rate and its influence factors are developed for single oil. The BP neural network is adopted to construct a wax deposition rate model for multiple crude oil. The application of the model to estimate the mixed crude oil´s wax deposition rate of a petroleum jetty reflects its effectiveness.
Keywords
backpropagation; coating techniques; crude oil; neural nets; petroleum; production engineering computing; waxes; BP neural network; crude oil; mixed crude oil wax deposition rate; paraffin deposition law; petroleum jetty; wax deposition data; wax deposition rate model; Data models; Mathematical model; Oils; Pipelines; Stress; Temperature; Transportation; crude oil pipeline; model; neural network; wax deposition rate;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2012 31st Chinese
Conference_Location
Hefei
ISSN
1934-1768
Print_ISBN
978-1-4673-2581-3
Type
conf
Filename
6390245
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