利用测井资料计算机自动识别沉积微相方法研究

收稿日期: 2009-10-08

修回日期: 2010-08-05

刊出日期: 2010-09-15

Method of Automatic Identification of Sedimentary Microfacies Using Well Logging Data

Received Date: 08 October 2009

Revised Date: 05 August 2010

Publish Date: 15 September 2010

摘要: 以关键井沉积微相分析为基础,将测井学同地质、现代数学相结合,从测井资料中提取反映各种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式,研究开发一套软件系统,实现计算机根据测井资料自动分析判别陆相地层沉积微相.应用该软件对某油田西区的十几口井的测井资料进行处理,并绘制出沉积微相平面图.
- 沉积微相 /
- 测井相模式 /
- 自动识别 /
- 多元统计分析
Abstract: Based on the sedimentary microfacies analysis of key wells,the log characteristic parameters for all kinds of sedimentary microfacies have been extracted from the well log data integrating with well logging,geology and mathematics.The discriminant models for the sedimentary microfacies have been established by means of multivariate statistical analysis.We have succeeded to program a software,which could implement the automatic and continuous discrimination of sedimentary microfacies for the hole profile using well log data.The log data from more than ten wells of anonymous oilfield have been processed using the soft ware,and drawn the plane graph of sedimentary microfacies.
- sedimentary microfacies /
- log phase mode /
- automatic identification /
- multivariate statistical analysis