基于反距离加权法的混采地震数据分离方法
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  • 英文篇名:Separation of blended source seismic data based on IDW method
  • 作者:杨帆 ; 韩立国 ; 封强
  • 英文作者:YANG Fan;HAN Li-guo;FENG Qiang;College of Geo-exploration Science and Technology,Jilin University;
  • 关键词:多源地震混合采集 ; 混叠噪声 ; 炮分离 ; 反距离加权法
  • 英文关键词:multi-source blended seismic acquisition;;blending noise;;separation of multi-source;;IDW method
  • 中文刊名:SJDZ
  • 英文刊名:Global Geology
  • 机构:吉林大学地球探测科学与技术学院;
  • 出版日期:2019-05-10 20:59
  • 出版单位:世界地质
  • 年:2019
  • 期:v.38
  • 基金:国家重点研发计划项目(2016YFC0600301)资助
  • 语种:中文;
  • 页:SJDZ201902020
  • 页数:8
  • CN:02
  • ISSN:22-1111/P
  • 分类号:172-179
摘要
为将混合地震记录分离为单炮地震记录,笔者采用基于反距离加权的迭代分离方法,在非共炮点域对伪分离数据进行混叠噪声的压制,将其变换回共炮点域,得到分离后的单炮地震记录。模拟数据和实际数据的处理结果证明,本方法能够有效地实现混合数据分离。相较于单独使用多级中值滤波方法,本分离方法能更好的保留有效信息。
        To separate the blended seismic data into single shot seismic data,a method using iterative separation based on IDW( Inverse Distance Weight) is proposed,which suppresses the noise of pseudo-separated data in non-common-shot domain. The data is then transformed into the common shot domain to get the separated single shot seismic data. The method is proven to be able to separate the blended data more effectively by the processing results of simulated data and actual data. Compared with using multi-level median filtering method alone,more effective information can be preserved by this method.
引文
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