摘要:
通过理论分析,指出:“基本小波与待分析的信号越接近,该信号在时间-尺度(或频率)域能量分布就越集中,即能量分布空间维数越低;反之,能量分布空间维数就越高,”然后分别深入地研究了信号和有色噪声的能量分布空间的性质。在这些工作的基础上,提出了基于最佳匹配地震子波(或有效信号)的物理小波,对地震资料进行最佳分辨率解释的方法。这种方法抑制了部分噪声和干扰波,同时增强了有效信息。模型及实际资料算例证明了其有效性。
Abstract:
Based on theoretical analyses, this paper indicates that the smaller the distance between the basic wavelet and the analyzed signal (in a sense of L2(R,dt) space, the more concentrated is its energy distribution in the time-scale domain, that is, the less is the dimensions of EDS of the signal, and vice versa. Then the EDS of signals and colored noises are studied, respectively. Based on these works, an interpretation method of seismic data is proposed by using the physical wavelet best matching the seismic wavelet (or significant signal). By this method, the noises and the interference waves are partially suppressed, at the same time, the useful information is enhanced. The efficiency of the method has been proved by modeling and field data.
下载:
