【摘要】 现有的模式识别技术都是针对叠后数据提取属性,而叠加过程恰好丢失了属性随炮检距的变化信息。为此提出针对叠前地震数据提取各种属性,然后再对每个CDP所有地震道属性求取它们相对于炮检距的变化梯度或平均值,再对提取的地震属性采用聚类分析和分类判别的方法进行模式识别。在做分类判别时,提出了先对井旁道目的层提取属性,再应用聚类和测井资料指定样本类别的新方法。经实际资料检验表明。此法能够分辨出储层纵向、横向的变化。更多还原

【Abstract】 The available pattern recognition techniques is to pick up attributes based on poststack data,in which the information of attributes changing with offsets lost because of stack.For that reason,we presented using prestack seismic data to pick up various attributes,then,computing changing gradient or average value of attributes relative to offsets in all traces of each CDP gather,and using cluster analysis and classification judgment to carry out pattern recognition for picked seismic attributes;we also presented that pickup of attributes is first carried out for the targets of traces near the well,then,using cluster and logging data to specify the classification of samples.It is shown by practical data tests that the method can recognize the change of reservoir in both vertical and lateral directions.更多还原