噪声被动源数据一次波估计

由噪声源引起的被动源数据(噪声源数据)可以通过互相关算法的地震波干涉技术,形成类似于常规采集系统得到的虚拟炮集记录,其中不仅含有一次反射波信息,还包括了表面相关多次波和其他噪声。在传统稀疏反演一次波估计方法的基础上,推导了噪声源数据一次波估计算法,并将其转化为一个最小二乘反演问题进行求解,直接对噪声源数据进行一次波估计,得到了不含有表面相关多次波的虚拟炮集记录。与传统基于互相关算法的地震波干涉技术相比,避免了对虚拟炮记录中的表面相关多次波预测减去的过程,降低了对虚拟炮记录处理的难度,同时,提高了虚拟炮记录的利用效率。

Estimating primaries from passive seismic data activated by noise sources

The virtual shot gathers can be formed from passive source data caused by noise sources (noise source data) using seismic wave interferometry based on correlation algorithm, similar to those obtained by conventional acquisition system. These virtual shot gathers not only contain primary reflected wave data, but also include surface-related multiple waves and other noises. Based on the conventional primary wave estimation method with sparse inversion, an algorithm for estimating the primary waves of noise source data was derived and converted to the least-square inversion for solution, so as to directly estimate primary wave of noise source data and obtain virtual shot gathers excluding surface-related multiple waves. Compared with the conventional seismic wave interferometry based on correlation algorithm, it avoids the subtractin of surface-related multiple wave prediction from virtual-shot gathers to reduce the difficulty in processing virtual-shot gathers, thus improving the utilization efficiency of virtual-shot gathers.