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浅水型河流相的ICA地震识别方法 被引量:6

ICA Seismic Identification of shallow channel sedimentary subfacies
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摘要 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. Some problems exist in today's reservoir forecast methods, such as indirection, large amount of work and interpreters' subjective factors. So ICA analysis method is introduced into seismic interpretation, and it can solve these problems. In this paper, the principle of ICA and FastICA algorithm are achieved. Good results can be obtained by using this method in seismic interpretation. Also, to get rid of discontinuity caused by footprint in the data, smooth filtering is used, which is simple but very effective.
出处 《地球物理学进展》 CSCD 北大核心 2006年第3期856-863,共8页 Progress in Geophysics
基金 中国科学院知识创新工程重大项目(编号KZCX1-SW-18) 大庆油田有限责任公司勘探开发研究院委托课题
关键词 ICA(独立分量分析) 平滑滤波 地震解释 ICA(Independent Component Analysis), smooth filtering, seismic interpretation
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