基于多级Bayes判别的砂砾岩体岩性识别方法

The Lithologic Prediction of Conglomerate Based on Multistage Bayes Approach

为实现复杂砂砾岩体岩性有效识别,本文基于岩心样品分析资料及其对应的测井曲线特征进行研究,建立多级Bayes判别函数,通过对测井数据分级判别,可有效识别不同岩性;实例计算结果表明,计算结果与实际岩心观察吻合程度大于80%,满足研究要求,可以应用于全区岩性识别。

In order to achieve indentification of complex sandstone and conglomerate lithology, this paper is based on the analysis of core samples and their corresponding logs, the author established a multi-stage Bayes prediction function. Through the ＂classification to prediction＂ of logging data, realized the effective prediction of complex sandstone and conglomerate lithology and achieved good results.Practical example calculation shows that calculation result tallies with the actual core observation is greater than 80%, meeting the requirement of research, and the lithology prediction can be applied to the study area lithology prediction.