碳酸盐岩缝洞型储层非均质性极强，横向变化快，给地震储层预测带来很大困难。首先从地震单属 性出发，筛选出与储层对应关系较好的时间、振幅、频率和吸收衰减属性；其次对筛选出的地震属性作相关 系数分析和交会分析，对相关系数较高的地震属性保留其中1 种，减少冗余性；然后对保留的地震属性与 缝洞型储层参数作聚类和灰色关联度分析，优选出与缝洞型储层参数灰色关联度高的振幅变化、弧长和 有效带宽等3 种地震属性；最后利用三维交会分析及神经网络分析进行储层识别与预测。

The carbonate fractured-vuggy reservoir is characterized by strong heterogeneity, fast lateral lithology alternation, which brings great difficulties for seismic reservoir prediction. Firstly, this paper used single seismic attribute to select seismic attributes such as time, amplitude, frequency and absorption attenuation which are corresponding with the reservoir well; secondly, carried out correlation analysis and intersection analysis of these attributes, and reserved only one type of the attributes which has high correlation degree to reduce the redundancy; and then carried out cluster analysis and grey correlation analysis between the reservoir parameters and the reserved attribute, and optimized three types of attributes including amplitude alternation, arc length and band width which have high grey correlation degree with carbonate fractured-vuggy reservoir parameters; finally, completed reservoir identification and prediction by 3D cross-plot analysis and neural network analysis.