本文以塔河油田非“串珠”薄层状储集体作为研究对象,结合钻井、测井资料,指出薄层状储集体储集空间主要为溶蚀孔洞,主要位于T47不整合面下0~60 m.正演模拟结果证实T47不整合面低频强反射屏蔽了下部薄层状孔洞储集体弱信号,利用多子波地震道分解技术剥离了T47旁瓣强能量,重构数据恢复了薄层状溶蚀孔洞储集体弱信号.采用多子波分解和多属性线性回归融合技术建立了薄层状储集体厚度定量预测方法,降低了单一属性预测的多解性,提高了薄层状储集体厚度预测的准确性.塔河十区东地区应用结果表明,薄层状孔洞储集体预测厚度与实钻厚度的相对误差小于10%,说明该方法取得了较好的应用效果. In this paper, non-beaded thin-layer reservoirs in Tahe Oilfield are taken as research objects. Combining with drilling and well logging data, it is pointed out that the reservoir space for thin-bedded reservoirs is mainly eroded pores mainly located in 0 ~ 60 m. The forward modeling results show that the low-frequency strong reflection of the T47 unconformity shields the weak signal of the thin reservoir in the lower laminar cavity, and the multi-wavelet seismic trace decomposition technique strips the strong side energy of T47 and reconstructs the data to recover the thin layer Shaped corroded reservoirs.With the multi-wavelet decomposition and multi-attribute linear regression fusion techniques, a quantitative prediction method of thin-layer reservoir thickness was established to reduce the multi-solution of single attribute prediction and improve the thickness of thin-layer reservoir The accuracy of forecasting results show that the relative error between the predicted thickness of the thin-bedded hole reservoir and the thickness of the real drilling is less than 10%, which shows that the method has achieved good application results.