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基于地震属性优化的储层预测技术研究 被引量:3

Reservoir Prediction Technology Based on Seismic Attribute Optimization
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摘要 地震属性中蕴含丰富地震地质信息,现已广泛应用于油藏精细描述中。将地震属性作为自变量,根据多元线性回归方法的原理,通过对地震属性及地震属性组合的优化,在英852区块储层预测中进行实际应用,优化出相关系数较高的7种地震属性和4种地震属性组合。PⅠ油层组砂岩厚度预测符合率达到了80%。运用该方法可以提高地震预测储层参数与井点储层参数相关系数,从而提高储层预测精度。 There are abundant seismic and geologic data in seismic attribute,now they are used in fine reservoir description comprehensively.On the basis of theory of multiple linear regression method and through optimizing seismic attribute and seismic attribute combinations,seismic attribute is using as independent variable,and this method is applied for reservoir prediction in Ying 852 Area,optimization of high correlation coefficient of 7kinds of seismic attributes and 4kinds of seismic attributes combinat.The results are proved by drilling practice that the coincident rate of PI oil layer reached 76.2%for drilling sand body thickness.So this method can improve the correlation coefficient of prediction reservoir parameter and well reservoir parameter,and can improve the prediction accuracy of reservoir,through optimizing seismic attribute and its combination.
作者 杜先芳
出处 《长江大学学报(自科版)(中旬)》 CAS 2014年第9期60-62,4,共4页 Journal of Yangtze University(Nature Science Edition)
基金 国家科技重大专项(2011ZX05030-005-03)
关键词 多元线性回归 地震属性组合优化 储层预测 英852区块 multiple linear regression optimizing seismic attribute combination reservoir prediction Ying 852Area
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