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A PSO-LSSVM Based Petroleum Production Model for Production-Injection Wells System
Cheng HB(程海波); Zhang LT(张立婷); Ling X(凌霄); Zeng P(曾鹏); Yu HB(于海斌)
Department工业控制网络与系统研究室
Conference Name2017 Chinese Automation Congress (CAC2017) & China Intelligent Manufacturing International Conference (CIMIC2017)
Conference DateOctober 20-22, 2017
Conference PlaceJinan, China
Source Publication2017 Chinese Automation Congress (CAC2017) & China Intelligent Manufacturing International Conference (CIMIC2017)
PublisherIEEE
Publication PlaceNew York
2017
Pages5770-5775
Indexed ByEI ; CPCI(ISTP)
EI Accession number20183005603803
WOS IDWOS:000427816105162
Contribution Rank1
ISBN978-1-5386-3524-7
KeywordPetroleum Production Water Flooding Oilfield Production-injection Wells System Least Squares Support Vector Machine (Lssvm) Particle Swarm Optimization (Pso)
Abstract

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.

Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/21322
Collection工业控制网络与系统研究室
Corresponding AuthorCheng HB(程海波)
Affiliation1.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
Recommended Citation
GB/T 7714
Cheng HB,Zhang LT,Ling X,et al. A PSO-LSSVM Based Petroleum Production Model for Production-Injection Wells System[C]. New York:IEEE,2017:5770-5775.
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