利用地震资料进行沉积、油气等储层预测时存在的一些问题,如不直观、工作量大以及解释人员的主观因素过多等,用ICA分量进行解释可解决以上问题.本文实现了ICA的基本原理及FastICA算法在地震资料解释中的应用,通过对实际资料进行ICA的处理说明了这一方法在解释中的可行性.为了克服由于采集痕迹带来的横向不连续,用9点平滑滤波对各分量资料进行了处理,实际证明该方法虽然简单但是非常有效. The use of seismic data for sedimentary, hydrocarbon and other reservoir prediction problems, such as not intuitive, heavy workload and interpretation of the subjective factors such as excessive use of ICA component explained to solve the above problems.This paper achieved the basic ICA Principle and the application of FastICA algorithm in seismic data interpretation, the feasibility of this method in interpretation is illustrated through the processing of actual data by ICA.In order to overcome the lateral discontinuities caused by the acquisition traces, 9-point smoothing filter The components of the data were processed, the actual proof of the method is simple but very effective.