本文针对单道最小二乘自适应匹配滤波方法在一次波和多次波分量不正交的情况下不能获得正确匹配的问题,提出均衡拟多道最小二乘自适应匹配滤波方法,该方法采取在空间方向上均衡的办法,使得均衡范围内记录中的一次波和多次波分量总是正交的,并结合拟多道最小二乘自适应匹配能更好匹配记录波形的特点,使得该方法取得很好的自适应匹配效果.通过对简单模型、SEG/EAGESMAART模型和实际资料压制多次波的处理,结果表明该方法效果良好.
Single channel least-square matching filtering method can not get good matching filter result when the signal vector( one reflection record) is not vertical with the noise vector(multiple reflection record). In order to overcome the weakness, we propose the equipoise pseudomultichannel least-square matching filter method. It uses the statistical method on the space to make the signal vector be always vertical with the noise vector in the equipoise field. It combines the character that the pseudomultichannel least-square matching filter can do better in waveshape matching. So the method can produce better result. It proves good as it can effectively eliminate the multiples in the single model, SEG/EAGE SMAART model and the actual data.