A wax deposition rate model for multiple crude oil

摘要：

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.

关键词： neural network crude oil pipeline wax deposition rate model

作者: ZHANG Jinfang JIANG Yuanzheng LI Yanqin

作者单位: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, C Patent Examination Cooperation Center of SIPO, Beijing 100083, China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 1956-1961

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）