数据挖掘聚类算法在斜井抽油扶正器设计中的应用

Application Research of Data Mining and Clustering Algorithm in Deviated Well Pumping Centralizer Design

针对石油斜井抽油生产过程中产生的超大量数据,利用数据挖掘的聚类算法可得到很多有用的价值和信息,K-均值算法是聚类划分算法中的重要内容,通过该算法可实现对斜井抽油中的数据进行分析、处理的目的,达到对扶正器位置进行设计的重要应用。

Based on the massive data produced in the process of oil pumping of inclined well, we can get much useful values and information by using clustering algorithm of data mining, while k- means algorithm is a fundamental part in clustering algorithm. With this algorithm we can readily analyze, process all the data produced during oil pumping of inclined well, and further locate the centralizer.