碳酸盐岩裂缝测井识别方法  

LOG IDENTIFICATION FOR FRACTURE IN CARBONATE

作　　者：罗利[1] 胡培毅[1] 周政英[1] 

机构地区：[1]四川石油管理局测井公司,重庆400021

出　　处：《石油学报》2001年第3期32-35,共4页Acta Petrolei Sinica

摘　　要：经岩心分析与成像测井资料仔细对比 ,建立起裂缝在成像测井资料上的识别方法。从测井资料中提取与裂缝有较好相关性的响应参数作为识别裂缝样本的组成部分。用 Q型聚类分析对初始样品采用距离系数相对大小作为分类统计量进行聚类 ,形成识别裂缝的样本矢量 2 8个。给定二维空间上的初始坐标 ,对样本矢量点做非线性映射处理 ,得到裂缝和非裂缝矢量点在二维空间上的分布。经逐步判别分析后 ,得到裂缝和非裂缝的判别表达式 ,对非裂缝点的判别符合率为 90 % ,裂缝点的判别符合率为 10 0 %。用灰色静态模型建立起计算裂缝密度的表达式 。Contrast with the core analysis and the material of imaging logging carefully,the identification for fracture was set up in the imaging logging field.The response parameters,which have good relation with fracture,were taken as the part of identification for fracture samples.Applying Q cluster method,primary samples can be clustered by using the obverse figure of distant factor as class statistic amount,to form 28 samples vectors of fracture identification.When primal coordinate of two dimensional space is given and non fracture vectors will be sure in two dimensional space.After identifying and analyzing,fracture and non fracture identification expressions have got,which have 90 coincidence rate about non fracture dot,while 100 coincidence rate to fracture dot.Based on the gray static model,fracture density expression are worked out,and the calculated conclusion have higher precision.

关 键 词：碳酸盐岩 成像测井 裂缝识别测井 统计分析 灰色系统 模型 

分 类 号：P631.81[天文地球—地质矿产勘探]