【摘要】 从地震数据中提取的地震属性可用来描述储层特征和探测地下异常体。在YC凹陷NY次凹,通过分析过井地震剖面地震响应特征及正演模拟对比验证,确定不同层系对裂缝敏感的属性,达到属性优选的目的,从而有针对性地选择相应属性进行裂缝预测。利用该方法,对古近系阜宁组二段(E1f2)的两个亚段3+4亚段(E1f32+4)和5亚段(E1f52)分别选择了均方根振幅属性和波形聚类属性、相干属性进行裂缝预测,取得了很好的效果。更多还原

【Abstract】 Seismic attributes picked up from seismic data were used to describe reservoir characteristics and detecting underground abnormity.By contrasting response feature of seismic section crossing well path and forward modeling,fracture sensibility was determined for different layers in the NY Sub-sag of YC Sag,the purpose of attribute optimization was obtained.The method is used,RMS amplitude and waveform cluster and coherency attributes are selected for predicting two sub-members(E1f3+42 and E1f52) shale fracture growing area in E1f2 of Paleogene,good results are obtained.更多还原