【摘要】 盲信号处理技术作为现代信号处理领域的研究热点之一,面临着在源信号和传输通道参数未知或知之甚少的情况下,由一个传感器或者转换器的输出信号中分离出的源信号难以有效测控的问题。通过研究盲信号处理技术在地震弱信号分离中的应用,在分析隐蔽油气藏地震反射信息特征与盲信号处理理论之间关系的基础上,建立适合储层目标弱信号分离的地震盲源信号混叠模型,提出了分离2种弱信号的新方法,并利用围岩反射在各地震道的相似性和目标储层弱信号的差异性设计迭代法加以实现。模型仿真实验和实际地震资料的处理结果表明,该算法能够有效地分离地震弱信号,达到提高地震资料分辨率的目的。更多还原

【Abstract】 Blind signal processing technique is one of the hot topics in the field of modern signal processing, aiming at solving problems such as how to separate or estimate the waveforms of the original source from an array of sensors or transducers without or with little knowledge of original waveforms and the characteristics of transmission channels. This paper presents the application of blind signal processing technology to the extraction of seismic weak signals. Based on the investigation and analysis of the relationship between blind signal processing theory and seismic reflection features of subtle pool, an aliasing model of seismic blind-source signals is established in order to extract weak signals from seismic data of target reservoirs. At same time, two new strategies for weak signal extraction are proposed. Using reflection similarity among seismic traces of surrounding rocks and reflection differences of weak signals from target reservoirs, we developed an iterative algorithm for weak signals extraction. The results of simulation and seismic data processing show that the method can extract seismic weak signals successfully and thus improves the resolution of seismic data.更多还原