摘要
本文介绍应用模糊聚类的方法,将质量好的数据选出,克服了过去一些方法的局限性,使曲面拟合的质量有较大的提高,增强了稳健性。特别是在数据严重污染的情况下,模糊聚类处理方法更显示出其优越性。
The fuzzy cluster method is used to process logging data in the development of new dipmeter tools for Shengli Oil Field. This method improves the quality and robustness of curved surface fitting, especially in the cases of data being contaminated, which is difficult to solve with traditional methods.
出处
《西安石油学院学报》
1992年第2期50-55,共6页
Journal of Xi'an Petroleum Institute
关键词
测井
地层倾角
数据处理
模糊聚类
fuzzy cluster, data processing, dipmeter, robustness
