A PSO-LSSVM Based Petroleum Production Model for Production-Injection Wells System
Cheng HB(程海波); Yu HB(于海斌); Zhang LT(张立婷); Ling X(凌霄); Zeng P(曾鹏)
2017
会议名称2017 Chinese Automation Congress (CAC2017) & China Intelligent Manufacturing International Conference (CIMIC2017)
会议日期October 20-22, 2017
会议地点Jinan, China
关键词Petroleum production water flooding oilfield production-injection wells system least squares support vector machine (LSSVM) particle swarm optimization (PSO)
页码5770-5775
通讯作者Cheng HB(程海波)
中文摘要In water flooding oilfield, petroleum production is the most crucial target for production-injection wells system. An effective, informative and accurate production prediction facilitates parameter adjustment, production optimization, fault analysis and decrease in production cost. Some effective Artificial Intelligence (Al) technologies have been widely used in various kinds of industrial fields including manufacturing, building, chemistry and medicine. In this paper, AI technologies based on least squares support vector machine (LSSVM) optimized by particle swarm optimization (PSO) are applied to model petroleum production. Finally, the proposed method is verified by using the production data from Liaohe oilfield. Empirical results show that the proposed modeling approach is more feasible and accurate than other approaches.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录2017 Chinese Automation Congress (CAC2017) & China Intelligent Manufacturing International Conference (CIMIC2017)
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-5386-3524-7
WOS记录号WOS:000427816105162
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/21322]  
专题沈阳自动化研究所_工业控制网络与系统研究室
作者单位1.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
推荐引用方式
GB/T 7714
Cheng HB,Yu HB,Zhang LT,et al. A PSO-LSSVM Based Petroleum Production Model for Production-Injection Wells System[C]. 见:2017 Chinese Automation Congress (CAC2017) & China Intelligent Manufacturing International Conference (CIMIC2017). Jinan, China. October 20-22, 2017.
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