论文部分内容阅读
为了更准确地刻画地震信号的时频信息,实现高效率的时频谱分解,本文引入一种基于复数道地震记录的匹配追踪算法,阐述了该算法的基本原理和具体算法流程,基于合成记录进行了匹配追踪算法的抗噪能力和端点效应分析,并对实际煤田地震资料进行了匹配追踪的计算和分析.结果表明:1)匹配追踪算法更适用于信噪比为10dB以上的信号;2)端点平滑方法的引入可有效提高算法的准确性,解决了因端点振幅值过大导致的算法陷入局部匹配的问题;3)实际煤田地震资料中,煤层气富集区下部具有低频能量强、高频能量弱的特点,可将其作为煤层气富集区预测的一个标志.
In order to characterize the time-frequency information of seismic signals more accurately and achieve high-efficiency time-frequency spectral decomposition, a matching pursuit algorithm based on complex seismograms is introduced in this paper. The basic principle of the algorithm and the specific algorithm flow are described. The anti-noise ability and end-point effect of the matching pursuit algorithm are analyzed, and the matching tracking of the actual coalfield seismic data is calculated and analyzed.The results show that: 1) The matching pursuit algorithm is more suitable for the signal with SNR above 10dB; 2) The introduction of the end-point smoothing method can effectively improve the accuracy of the algorithm and solve the problem of local matching caused by the excessive end-point amplitude. 3) In the actual coalfield seismic data, the lower part of the CBM- Frequency energy is weak, it can be used as a sign of CBM enrichment area prediction.