摘要
采用鄂北6个录井样本点的钻头位置、井深、大钩负荷、立压、钻压、出口流量等指标共100个实际钻井数据进行了模糊C-均值聚类分析;在经验知识匮乏、存在无效数据和干扰的情况下,计算出了较为符合实际情况的聚类中心矩阵和聚类结果矩阵;根据标志样本点工作状态对样本进行了基本正确的分类,画出了模糊聚类关系图.
In order to carve up the oil drilling state using fuzzy clustering,the design of fuzzy clustering algorithm,the selection of sample parameters,the judge of each group state,the analysis and improvement of the clustering results had been completed.In this paper,used 100 actual data of the oil drilling as a test object,carried through the Fuzzy Clustering Method（FCM） analysis,and eventually worked out a cluster centre matrix and a cluster results matrix,which is in line with the actual situation.
出处
《周口师范学院学报》
CAS
2009年第5期47-49,共3页
Journal of Zhoukou Normal University
基金
周口师范学院青年科研基金资助项目(No.ZKNUQN200717)
关键词
模糊C-均值
模糊聚类
石油钻井工作状态
fuzzy clustering method（FCM）
fuzzy clustering
oil drilling working state
