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A predictive deconvolution method for non-white-noise reflectivity

机译:非白噪声反射率的预测反卷积方法

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摘要

Conventional predictive deconvolution assumes that the reflection coefficients of the earth conform to an uncorrelated white noise sequence.The Wiener-Hopf (WH) equation is constructed to solve the filter and eliminate the correlated components of the seismic records,attenuate multiples,and improve seismic resolution.However,in practice,the primary reflectivity series of field data rarely satisfy the white noise sequence assumption,with the result that the correlated components of the primary reflectivity series are also eliminated by traditional deconvolution.This results in signal distortion.To solve this problem,we have proposed an improved method for deconvolution.First,we estimated the wavelet correlation from seismic records using the spectrum-modeling method.Second,this wavelet autocorrelation was used to construct a new autocorrelation function which contains the correlated components caused by the existence of multiples and avoids the correlated components of the primary reflectivity series.Finally,the new autocorrelation function was brought into the WH equation,and the predictive filter operator was calculated for deconvolution.In this paper,we have applied this new method to simulated and field data processing,and we have compared its performance with that of traditional predictive deconvolution.Our results show that the new method can adapt to non-white reflectivity series without changing the statistical characteristics of the primary reflection coefficient series.Compared with traditional predictive deconvolution,the new method reduces processing noise and improves fidelity,all while maintaining the ability to attenuate multiples and enhance seismic resolution.
机译:传统的预测反卷积假设地球的反射系数符合不相关的白噪声序列。构造了Wiener-Hopf(WH)方程来求解滤波器,消除地震记录的相关分量,衰减倍数,提高地震分辨率但是,在实践中,场数据的主反射率序列很少满足白噪声序列假设,结果传统的反褶积也消除了主反射率序列的相关分量,从而导致信号失真。首先,我们使用频谱建模方法从地震记录中估计出小波相关性。其次,该小波自相关被用于构造一个新的自相关函数,该函数包含因存在的相关性而引起的相关分量。倍增并避免主反射的相关成分最后,将新的自相关函数引入WH方程,并计算出预测滤波器算子进行反卷积。本文将这种新方法应用于模拟和现场数据处理,并将其性能与我们的结果表明,该新方法可以适应非白色反射率序列,而不会改变主反射系数序列的统计特性。与传统预测去卷积相比,该新方法减少了处理噪声并提高了保真度,所有同时保持衰减倍数和提高地震分辨率的能力。

著录项

  • 来源
    《应用地球物理(英文版)》 |2019年第1期|101-115|共15页
  • 作者单位

    College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China;

    China University of Petroleum Shengli College, Dongying 257061, China;

    BGP, CNPC, Zhuozhou 072751, China;

    Network and Information Center, Shandong University of Science and Technology, Qingdao 266590, China;

    BGP, CNPC, Zhuozhou 072751, China;

    College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-19 04:25:25
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