文章摘要
彭 军.用曲波变换消除VSP数据处理中的空间假频与采样不规则[J].地质与勘探,2016,52(3):537-542
用曲波变换消除VSP数据处理中的空间假频与采样不规则
Removing spatial alias frequency and irregularity of sampling in VSP data processing by using curvelet transform
投稿时间:2015-09-15  修订日期:2016-04-15
DOI:
中文关键词: 曲波变换 空间假频 VSP 插值
英文关键词: curvelet transform, spatial aliasing, VSP, interpolation
基金项目:中海石油(中国)有限公司南海西部海域典型低孔低渗油气藏勘探开发关键技术研究及实践(编码:CNOOC-KJ125ZDXM07LTD02ZJ11)赞助
作者单位E-mail
彭 军 中海石油(中国)有限公司湛江分公司,广东湛江吉林大学地球探测科学与技术学院,吉林长春 pengjun@cnooc.com.cn 
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中文摘要:
      由于条件与经费的限制,在实际地震资料采集过程中,常常会遇到获得的地震资料较稀疏或不规则,导致空间假频、采样不规则的问题,影响地震资料的成像效果。可利用地震道空间插值来解决这些问题,提升地震数据处理结果品质。曲波变换的基函数是具有倾角、频率、时间三方面同时局部化的函数,它可以对空间信号做稀疏表达,适合地震资料的插值处理。本文采用该方法对理论模型数据和实际VSP数据作插值处理,解决不规则采样、空间假频问题。实际应用表明该方法精度高,插值准确,处理结果的振幅和同相轴连续性好。
英文摘要:
      Spatial alias frequency and Irregularity of sampling are often encountered in seismic acquisition due to limited conditions and funds, which can affect many aspects of seismic processing. Seismic interpolation can be used to solve these issues to improve the quality of seismic data processing. To do so, the curvelet transform decomposes the seismic data into local wavelets which have local time-frequency and local dip attributes. Spatial signal can be expressed sparsely by curvelet transform, so is suitable for seismic data interpolation. In this paper, we employ the curvelet transform to solve the problems of spatial alias frequency and irregular spatial sampling. The tests on model data and real VSP field data show that this method can achieve high precision, accurate interpolation, and good continuity in amplitude and co-phase axes.
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