A PSO-LSSVM Based Petroleum Production Model for Production-Injection Wells System
文献类型：会议论文
| 作者 | Cheng HB(程海波) ; Yu HB(于海斌); Zhang LT(张立婷); Ling X(凌霄); Zeng P(曾鹏)
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| 出版日期 | 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)
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| 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 |
| 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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