����������� SVD �ĵ��������������������뷽�����ڵ��������ͬ����ˮƽ��ӽ�ˮƽʱ������Ч�ط�������������е������������ߵ�������ķֱ��ʡ�Ϊ��˵�� SVD ����������뷽������Ч�Ժ͸�Ч�ԣ�����ģ�����飬�ںϳɵ����¼�м������������֮�����ʵ�ʵ������ϴ����ֱ��� SVD �����ͻ���С���任�ķֲ���ֵ�����Լ�����������ĺϳɼ�¼�ͼ������������ʵ�����Ͻ�������������봦���Աȷ��֣�SVD ����������뷽������ڻ���С���任�ķֲ���ֵ����������Ч�Ҹ�Ч��

The authors present a new method of random noise separation from poststack seismic data based on SVD�� If the events of seismic profile are horizontal or closely horizontal��this method can separate the random noise from the seismic data validly and greatly improve the resolution of the seismic profile�� In order to demonstrate the validity and high efficiency of de- noising method based on SVD��the authors set up model experiments firstly��then add random noise into the synthetic seismic data and field data�� The noisy synthetic seismic data and field data with SVD method and wavelet threshold de- noising method have been processed respectively�� The results show that com- pared with wavelet threshold de- noising method��SVD method can separate the random noise from the seismic data more validly and efficiently��