最小熵反滤波法在深部地震测深资料数据处理中的应用  

THE APPLICATION OF MINIMUM ENTROPY DECONVOLU TION METHOD IN D. S. S DATA PROCESSING

作　　者：邱陶兴[1] 廖其林[1] 王振明[1] 

机构地区：[1]福建省地震局

出　　处：《防灾减灾学报》1991年第2期17-24,共8页Journal of Disaster Prevention And Reduction

基　　金：地震科学联合基金

摘　　要：最小熵反滤波法(简称MED法)主要是对震源子波和地层滤波效应作精细的补偿,它实际上是寻找一个算子,该线性算子使得地震记录中的尖脉冲特性能最大限度的加强.它无需象其它反褶积法那样,必须假设震源子波已知或期望信号为白谱,却能求得比较理想的反滤波因子.本文试图简述该方法的原理并说明在深部地震测深资料数字处理中的应用效果.Minimum entropy deconvolution method is mainly to compensate source wavelet and strata filter effection exactly. Actualy, it finds an operator and this lineal operator can maximally enhance characteristic of sharp pules in seismic record.It does not suppose source wavelet to be known and expect white-noise signal as other deconvolution method,but can find fine deconvolution factor.Principle of the method has been introduced briefly and its effection application of in D.S.S data pressing has been shown in this paper.

关 键 词：地震测深 反滤波因子 震源子波 地震记录 反褶积 数字处理 滤波法 地震子波 白谱 信噪比 

分 类 号：P315[天文地球—地震学]