Study on intelligent analysis algorithm for achieving standard of polymer flooding well group

In order to master the development effect of polymer flooding well group, it is necessary accurately analyze influence different factors in whole process on index. Combined with principle big data analysis, based neighborhood rough set theory and Kmeans clustering algorithm, an intelligent analysis algorithm proposed determine achievement indicators group. Firstly, was used reduce attributes influencing Wells without standards. Secondly, cluster reduced delete inconsistent actual compliance. Finally, model judge standard status other groups, practical application very good.