地震数据的空间采样与能量联合规则化方法及应用

Seismic Data Spatial Sampling and Energy Joint Regularization: Method and Application

研究了地震数据对叠前成像质量的影响因素后指出,地震数据的叠前数据规则化不仅要对数据的空间采样进行均一化处理,也要对数据的能量进行归一化处理。利用借道的方法对数据空间采样不均进行规则化处理,可提高偏移成像信噪比;通过三角剖分的方法对数据振幅能量进行归一化处理,可减少偏移划弧现象,使成像道集的振幅随偏移距变化属性更加明显。在南堡探区应用叠前数据联合规则化技术后,不仅使浅层信噪比提高,而且深层噪音也得到很好的压制,从而提高了保幅性。

This paper studies the influencing factors of seismic data on prestaek imaging quality and suggests that the prestack data regular- ization should be performed by both homogenization processing of data spatial sampling and data energy. By means of borrowing nearest traces, the normalization of data spatial sampling can improve the signal to noise ratio of migration imaging; using triangulation method for normalization of data amplitude energy may decrease the migration noise and strengthen AVO attribute. By joint regularization processing of prestack seismic data and application to Nanpu area, the imaging quality after regularization is much more improved than that before it, including improvement of signal to noise ratio in shallow and SUnDression of noisa in rlat^n ~nn~ aQ w^ll 1;h,A ~;~