有序聚类分析在声波测井自动分层中的应用

Application of Ordered Clustering Analysis in Automatic Stratification of Sonic Logging

声波测井是水电水利工程物探常用的测井方法。根据岩体声波速度,对钻孔岩体进行分层是声波测井数据处理和解释的内容之一。本文叙述了有序聚类分析的基本原理,介绍了应用有序聚类分析进行声波测井曲线自动分层的实现方法。通过实际资料处理,表明该方法可行,效果良好。

Sonic logging is one of the usual logging method in engineering geophysical exploration of hydropower and water resources. According to the sonic velocity of rock, stratification to rock of hole is one of the tasks of data performance and explanation about sonic logging. The basic principle of orderly culstering analysis is introduced and the method applying orderly clustering analysis of automatic division about sonic logging curve is presented in the paper. The method is proved by actual data, and the result shows that the method used is feasible and valid.