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Investigation on surface related multiple suppression by predictive deconvolution in linear Radon domain

机译:线性Radon域中预测反褶积的表面相关多重抑制研究

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摘要

Surface related multiple suppression by predictive deconvolution method in t-x domain usually suppose that multiples have strict periodicity,which limits its application greatly.Linear Radon transform in the paper improves multiples periodicity effectively,and investigate multiples suppression by predictive deconvolution in linear Radon domain.Firstly,the seismic data with surface related multiple is transformed into linear Radon domain,then predictive deconvolution method is used to suppress surface related multiple.This method can determine the predictive deconvolution operator by auto-correlation operation.It discusses the influence of predictive operator length on multiples suppression effect by theoretical models.This method can overcome periodicity limit that predictive deconvolution demand multiple effectively,and has practical value and bright future application.
机译:在tx域中通过预测反卷积方法进行的与表面相关的多重抑制通常假设倍数具有严格的周期性,这极大地限制了它的应用。本文中的线性Radon变换有效地改善了倍数周期性,并研究了在线性Radon域中通过预测反卷积的多重抑制。将具有地表相关倍数的地震数据转换为线性Radon域,然后使用预测反褶积方法抑制地表相关倍数。该方法可以通过自相关运算确定预测反卷积算子,并讨论预测算子长度对倍数的影响。该方法可以有效克服预测反褶积需求的周期性极限,具有实用价值和广阔的应用前景。

著录项

  • 来源
  • 会议地点 Hong Kong(HK)
  • 作者

    Y.Shi; Y.Li; H.L.Jing;

  • 作者单位

    School of Earth Sciences, Northeast Petroleum University, Daqing, Heilongjiang, China;

    School of Earth Sciences, Northeast Petroleum University, Daqing, Heilongjiang, China;

    School of Earth Sciences, Northeast Petroleum University, Daqing, Heilongjiang, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境污染及其防治;
  • 关键词

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