红柳地区垦东6井声波测井资料识别层序地层单元界面的数学方法  

Identification of the sequence stratigraphical boundary using sonic log data by mathematical methods

作　　者：朱剑兵[1] 纪友亮[2] 

机构地区：[1]石油大学地球资源与信息学院,山东东营257061 [2]同济大学海洋与地球科学学院,上海200092

出　　处：《成都理工大学学报（自然科学版）》2005年第6期644-648,共5页Journal of Chengdu University of Technology: Science & Technology Edition

基　　金：国家973项目(G1999043304)

摘　　要：在对济阳坳陷红柳地区垦东6井进行层序地层学研究中,利用层序地层单元界面上、下在声波时差对数与其深度之间具有不同的线性响应的特点,发现采用线性回归、活度函数、小波分析和R/S分析等数学处理方法都能有效地增强识别的效果。以该井的声波测井资料为例,利用线性回归和R/S分析识别的层序界面位于曲线拐点附近,而活度函数和小波分析则将层序界面显示为某些极大的脉冲值。线性回归和R/S分析方法比较适合做整体研究,受异常值的干扰小;活度函数和小波分析方法表现为局部分析的特点,更适合高频层序的识别。In the research of the sequence stratigraphy of Well Kendong 6 in Hongliu area, the authors found the mathematical methods, such as linear regression, activity function, wavelet analysis and R/ S analysis, can improve the identified effect according to the character that the different linear responses between sonic logging logarithm and its depth can identify the unconformable boundary of sequence stratigraphy. Take the sonic logging data of Well Kendong 6 as a case, the authors found the sequence boundaries which are identified by means of the linear regression or R/S analysis are near the inflexions. But the sequence boundaries show some maximum impulses by activity function or wavelet analysis. The linear regression or R/S analysis fit the whole study and outliers disturb little by these methods. The activity function or wavelet analysis as the trait of the local analysis is fit to identify the high frequency sequences.

关 键 词：层序界面 声波测井资料 线性回归 活度函数 小波分析 R/S分析 

分 类 号：P631.814[天文地球—地质矿产勘探]