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
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;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
