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根据地震属性预测乌尔禾油田储集层孔隙度
Prediction of Reservoir Porosity in Wuerhe Field of Junggar Basin Using Seismic Attributes
【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。
【Abstract】 The seismic attributes of 43 types are extracted from Wuerhe Wellblock 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.
【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;
【Key words】 reservoir parameter; prediction; clustering analysis; correlation coefficient; multiple regression; nonparametric regression;
【Key words】 reservoir parameter; prediction; clustering analysis; correlation coefficient; multiple regression; nonparametric regression;
- 【文献出处】 新疆石油地质 ,Xinjiang Petroleum Geology , 编辑部邮箱 ,2007年04期
- 【分类号】P631.44;P618.13
- 【被引频次】1
- 【下载频次】227