应用改进的KL变换提高叠后地震记录信噪比

常规KL变换叠后去噪仅能加强水平方向同相轴,对倾斜或弯曲同相轴处理效果较差,对能量较强的相干噪声去除效果不佳,且在处理大量数据时计算成本很高,在实际生产中难以广泛应用。本文针对常规KL变换的缺陷分别进行了三点改进:使用倾角扫描叠加KL变换,可在有效压制地震剖面噪声的同时,较好保持倾斜同相轴和弯曲同相轴;使用本文提出的时空变-倾角KL变换能去除能量较强的相干噪声;使用数据分块技术可减少运算量。模型测试和实际资料处理效果表明:改进后的KL变换适应性强,去噪效果大大改善。 

Signal-to-noise ratio enhancement in seismic data via the modified KL transforms

The conventional KL transform is used for removing noises in seismic data processing,but it has three limitations:when the events are horizontal,the conventional KL transform can enhance the events,but when the events are oblique or curving,using the conventional KL transform will destroy the continuity of effective events;when the coherent noises in seismic data have strong energy,using the conventional KL transform can't effectively remove the coherent noises;and because of the large numbers of calculations,it is impossible for us using the conventional KL transform in practice.Aim at these three limitations,we improve the convertional KL transform:using the dip scanning stack KL transform not only can remove noises effectively,but also can keep the continuity of oblique or curving events well;using the new method,which was named space time variety and dip angle KL transform,the strong coherent noises will be removed clear,and plotting out the whole data into some small blocks can reduce the calculations.At last we combine these three betterments,the results show this new method can improve signal to noise ratio in seismic data well.