【摘要】 探索深部金属矿地震勘查中数据降噪方法,提出小波域盲分离算法处理流程,通过对我国云南地区某金属矿低信噪比资料,进行实际降噪处理研究,结果表明:①将地震数据变换到小波域的盲分离JADE算法降噪处理后,再从小波域变换到时间域,比单纯的时间域内盲分离JADE算法降噪效果要好;②在降噪处理过程中,必须根据不同地区的地震数据多次试验参数组合,以其达到最佳降噪效果。将盲信号理论与小波变换有机结合进行深部金属矿地震勘查数据降噪,对利用地震方法大面积地寻找盲矿和深部隐伏矿有一定的实用价值和指导意义。更多还原

【Abstract】 This paper explores the method of seismic exploration data noise reduction in deep metal,and proposes wavelet domain blind separation algorithm processing procedure.The actual noise reduction process and research of the low signal-to-noise ratio(SNR) in a metal mine of Yunnan Province shows that the effect would be better than JADE blind source separation algorithm noise reduction in pure time domain when the seismic data are transformed into wavelet domain blind source separation algorithm of JADE noise reduction processing,and then the wavelet domain is transformed into time domain;and in the de-noising processing,parameter combination must be tested many times according to different parts of the seismic data so as to achieve the best effect of de-noise.It is of practical value and instruction for prospecting blind ores and deep concealed ore deposits in large areas by seismic techniques to combine blind signal theory with wavelet transformation for deep seismic exploration data noise reduction.更多还原