摘要
基于准噶尔盆地乌尔禾油田地震资料,提取了43种地震属性数据;通过对提取的地震属性的分析,利用聚类分析方法优选出5种属性作为储集层孔隙度预测模型基本参数。结合区内已知井点处目的层孔隙度,利用多元回归和非参数回归方法对目的层进行储集层参数预测,取得了较好的应用效果。
The seismic attributes of 43 types are extracted from Wuerhe Wellbloek seismic data, of which 5 are selected as basic parameters of the reservoir porosity prediction model using clustering analysis. And the porosities at wells available are used to make a prediction of the reservoir parameters of target zone by multiple regression and nonparametric regression. The results show good effect for its application to the target zone.
出处
《新疆石油地质》
CAS
CSCD
北大核心
2007年第4期500-503,共4页
Xinjiang Petroleum Geology
关键词
准噶尔盆地
乌尔禾油田
地震属性
孔隙度预测
聚类分析
多元回归
非参数回归
reservoir parameter
, prediction
clustering analysis
correlation coefficient
multiple regression
nonparametric regression
