摘要
地震资料的关联维已在油气藏识别等多方面得到应用,但用于计算关联维的G-P方法要求有很大的样本容量才能达到足够的计算精度。本文利用系统吸引子具有周期点的稠密性的特征,将观测到的数据作周期性延拓,以增加样本容量、提高计算精度。实例证明,采用这种方法计算出来的关联维,其结果令人满意。
The associative dimension of seismic data has been applied to many fields suchas hydrocarbon reservoir recognition. However,G-P method for estimating the asso-ciative dimension needs a big sample volume to achieve enough accuracy. The peri-odic continuation of observed data can be done by making use of the periodic densityof systematic attractors so as to increase samle volume and accuracy. It is shownthat the method brings satisfactory associative dimension.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
1996年第1期14-20,166,共8页
Oil Geophysical Prospecting
关键词
地震道
关联维
G-P法
相空间
样本容量
吸引子
seismic trace, associative dimension, G-P method, phase space,sample volume, attractor