东北大学学报(自然科学版) ›› 2013, Vol. 34 ›› Issue (5): 613-616.DOI: -

• 信息与控制 • 上一篇    下一篇

有杆泵抽油系统井下工况诊断的物元分析方法

李琨,高宪文,仇治学,田中大   

  1. (东北大学信息科学与工程学院,辽宁沈阳110819)
  • 收稿日期:2012-04-24 修回日期:2012-04-24 出版日期:2013-05-15 发布日期:2013-07-09
  • 通讯作者: 李琨
  • 作者简介:李琨(1983-),男,山东泰安人,东北大学博士研究生;高宪文(1955-),男,辽宁沈阳人,东北大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金重点资助项目(61034005);中央高校基本科研业务费专项资金资助项目(N100604001);东北大学优秀博士论文培育资金资助项目.

MatterElement Analysis Method of Downhole Conditions Diagnosis for Suck Rod Pumping System

LI Kun, GAO Xianwen, QIU Zhixue, TIAN Zhongda   

  1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2012-04-24 Revised:2012-04-24 Online:2013-05-15 Published:2013-07-09
  • Contact: GAO Xianwen
  • About author:-
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摘要: 根据油田实际生产中常用的“四点”分析法,结合曲线矩理论,提取示功图图形的不变曲线矩特征值作为特征参数向量.采用可拓理论中的物元分析方法建立标准工况类型的物元模型,将特征向量的量值拓展为区间值,通过关联函数计算待诊断示功图与标准工况类型的关联度并进行归一化处理.计算结果给出待诊断样本相对于各标准工况类型的发生程度,最大的关联度表示该类型工况的发生程度最大.实例验证了所提出的方法是合理可行的,符合实际生产需要.

关键词: 示功图诊断, 物元分析, 曲线矩, “四点”法, 区间特征量值

Abstract: According to the “fourpoint” method commonly used in the oilfield actual production and combined with curve moments theory, the invariant curve moments eigenvalue of dynamometer card were extracted as feature parameter vectors. Matterelement model of standard working conditions were established by matterelement analysis method of extension theory whose values of feature parameters were extended to interval forms. Correlation function was used to calculate the correlation degree between the diagnosed sample and the standard working conditions, and then normalization would be carried out. According to the standard working conditions, the correlation degree of diagnostic samples was given by calculations. The maximum correlation degree indicated that the corresponding type of standard working condition should have the greatest possibility. The example illustrated that the proposed method is rational and effective, which is more in line with the actual production requirements.

Key words: dynamometer card diagnosis, matterelement analysis, curve moments, “fourpoint” method, interval feature value

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