复小波框架联合多模型自适应减法在莺歌海盆地地震数据多次波剔除中的应用

The Application of Complex Wavelet Frames Joint Multiple Models Adaptive Subtraction in Multiple Wave Elimination of Seismic Data in Yinggehai Basin

莺歌海盆地发育一系列泥-流体底辟构造与断裂,地震资料受浅层气和底辟构造的影响,其下覆地层在地震剖面上表现为模糊区,内部反射杂乱且能量较弱,而鸣震、自由表面和由浅层气产生的多次波类型复杂,能量又太强,常规的多次波剔除方法极易造成多次波残留或损伤一次波。复小波域的联合多次模型自适应相减方法是一种在连续小波框架下使用非固定维纳匹配滤波器进行多道处理的多次波剔除技术,适合于弱信号地区的多次波剔除处理,本文在详细阐述复小波域的联合多次模型自适应相减方法原理的基础上,将该方法引入到莺歌海盆地的多次波剔除处理中,有效压制了该区域地震数据的多次波,显著提高了该弱信号区域的信噪比。

Yinggehai basin developed a series of mud-fluid diapir structures and fractures.Due to the influence of shallow gas and diapir structures,the underlying formation are characterized by fuzzy areas,internal reflection clutter.The target layer effective signal is very weak,but the types of the short period reverberation,free surface multiples and multiples generated by the shallow gas are complicated,its energy are also strong,so conventional multiple attenuation methods usually result in damage to primaries and residue of multiples.The method of joint multiple models with complex wavelet frames adaptive subtraction,is a non-stationary Wiener matching filter on complex trace processing with continuous wavelet frames.It’s suitable for the multiples attenuation processing in the weak signal areas.This article elucidates the principle of the method of joint multiple models with complex wavelet frames adaptive subtraction in detail,and the method is applied to the multiples eliminate processing in the Yinggehai basin,effectively suppressing the multiples of seismic data in the region,significantly improving the SNR of the weak signal areas.