曲波域瞬时衰减能量属性在储层识别中的应用研究

地震波在含油气储层中传播时,主频降低,振幅出现明显的衰减异常,为油气检测提供了有效信息。利用曲波变换的多尺度特性,提出了曲波域衰减能量属性识别储层的方法，首先利用曲波变换对地震数据进行分频处理,然后在曲波域应用扩展的2D Teager-Kaiser能量算子(TEO),得到突出地震信号急剧变化的多尺度数据子体,实现对气、水层的区分。实际地震资料的应用效果表明,曲波域衰减能量属性能够有效地识别含不同流体储层的强振幅异常,与基于常规时频分析技术计算的衰减能量属性相比,可以更为准确地预测含气储层。

When seismic wave propagates in the oil-gas-bearing reservoirs,the dominant frequency is reduced and amplitude appears obvious attenuation anomaly.These attenuation characteristics provide effective information for the hydrocarbon detection.Accordingly,by applying the multi-scale characteristics of curvelet transform,the reservoir identification method with attenuation energy attribute in curvelet domain is proposed.Firstly,curvelet transform is utilized to frequency division processing.Then,the extended two-dimensional Teager-Kaiser energy operator is applied in the curvelet domain.Finally,the multi-scale subdatasets that highlight sharp change of seismic signal is obtained,and the identification of gas and water layers is realized.Application results of actual seismic data show that attenuation energy attributes in curvelet domain can effectively identify strong amplitude anomalies of reservoirs containing different fluid.Comparing with energy attenuation attributes calculated by conventional time-frequency analysis technique,the method is more accurate in predicting the gas-bearing reservoir.