����г����ز�������Ե������ԣ���Ӧ��ͬ�IJ⾮�����������������������в���ز㻮�֡�Ϊ������һ���Ӿ�����ϻ��ֵز����Ϊ�����ԣ�ʹ�ò���ز㵥Ԫ�Ļ��ָ��ӿ�ѧ����һά�IJ⾮��������С���任������չΪ��άʱƵ�򣬽���ͬʱ��( ���) �߶ȵij�������������չ�ֳ�������÷������꾮Ϊ����ѡȡa ֵ��0. 25 �� 0. 5 amax��������С��ʱƵ����ͼʶ����—�弶����ز�ѧ��Ԫ�������ԡ���С��ʱƵ����ͼ�У����򶥵׸��������в��������������ֳ������������; �����ڲ����������߶�ת��--��С�߶�ת��--�����ȶ�--���߶�ת�ƣ���ӳ����ϵ��ӵ�ˮλ--ˮ������ˮλ--ˮ�˵Ĵ���仯����; ���ڲ�ÿ��С���������ֿ��Կ�����һ��׼�����ɴ˽���Ӧ��С���任���ֲ���ز㵥Ԫ��ģ�ͣ�Ϊ����ز�ѧ�Ķ��������ṩ��һ�����ֶΡ�

The sedimentary strata are obvious in cyclicity in the basin��which can be used to distinguish the sequence stratigraphy��responsing to different characters of the logging date�� In order to avoid the subjectivity of division of strata in a visual level��and make the division of sequence stratigraphic units more scientificly��we use the wavelet transform technique to expand 1-D level logging curves to 2-D time-frequency domain��which would show the sedimentary cycles clearly in different times or depth scales�� Based on the logging date of the Meihe Basin��by taking the value rang 0. 25 to 0. 5 amax ��the third to fifth scale sequence sedimentary units have distinctive characteristics in wavelet time-frequency power imaging�� In the wavelet power imaging��the high power site with the characteristics of power reduced upwardly and downwardly��which helps to define the third sequence boundary�� In thethird sequence��from the bottom to the top��the features of power imaging is changed from large scale to small scale then to the stability and finally��to the reversal of large scale��and this four states correspond to the system tracts vertical evolution of LST��TST��HST and RST�� The smaller power imaging could also be recognized as a parasequence�� The model of sequence stratigraphic division based on the wavelet transform technique offers a new method for identifying sequence��