利用多元统计方法自动识别沉积微相

Auomatic discriminant sedimentary microfacies by means of multivarite statistics analysis

1. 石油大学(华东),东营 257062;2. 胜利油田测井公司,东营 257096

University of Petroleum (Huadong)Dongying 257062

在关键井沉积微相分析的基础上,从测井资料中提取反映各种沉积微相的测井特征参数,并应用一套多元统计分析方法建立各种沉积微相的判别模型,实现了根据测井资料用计算机对井剖面地层进行目前连续的沉积微相识别,并根据单井相分析结果进一步可研究多井剖面地层的各种沉积微相。应用所研制的软件对胜利油田十多口井的测井资料进行了处理,其结果与地质专家解释结果相当吻合。

on the basis of the sedimontary microfacies analysis of key wells,the log characteristic paramcters for all kinds of sedimentary microfacies have been extractcd from the log data- The diseriminant models for the sedimentary microfacies have been established by means of multivariatc statistical analysis,implementing the automatic and continuous discrimination of sedimentary microfacies for the hole profile using log data. Furthermore,thc results of the single woll microfacies analysis can be used to study the sedimentary microfacies of multiple well profiles. The log data from mote than ten wells of Shengli Oilfield have been processed using the software developed by us,and the results coincide very well with the interpretation of the geological specialist.