Bayes判别法在麻黄山西探区油层识别中的应用  

Grain size identification by Bayesian discrimination in the west of Mahuangshan working area

作　　者：陈利雯[1] 张松扬[2] 赵永刚[3] 李保华[3] 

机构地区：[1]成都理工大学,四川成都610059 [2]中国石油化工股份有限公司石油勘探开发研究院南京石油物探研究所,江苏南京210014 [3]中国石油化工股份有限公司华北分公司数字测井站

出　　处：《勘探地球物理进展》2008年第4期301-304,240,共4页Progress in Exploration Geophysics

摘　　要：勘探实践证实麻黄山西探区的砂岩粒度对储层的物性和含油性有较大的控制作用。利用麻黄山西探区宁东2,3,4,5区块的岩心薄片数据研究了砂岩粒度与测井曲线响应特征,建立了Bayes判别函数,达到了利用测井资料自动识别岩性粒度的目的,经与岩心分析资料对比,用该方法确定的砂岩岩性粒度的正确率达到90.7%,不仅扩大了测井资料的应用范围,而且使得测井资料划分岩性更趋精细。Exploration practice has proved that the grain size of sandstone is a key factor controlling the reservoir physical properties and oil-bearing potentials in the west of Mahuangshan working area.We studied the relationship between sandstone grain size and log responses on cores from block 2,3,4 and 5 in Ningdong in the west of Mahuangshan working area.A discriminant has been established by using Bayesian method.The accuracy of the sandstone grain size from the proposed method is as high as 90.7% as shown by core analysis.

关 键 词：测井响应特征 Bayes函数 砂岩粒度 

分 类 号：P631.8[天文地球—地质矿产勘探]