Spiking deconvolution for seismic waves using the Fractional Fourier Transform

S. Sud
{"title":"Spiking deconvolution for seismic waves using the Fractional Fourier Transform","authors":"S. Sud","doi":"10.1109/SECON.2017.7925350","DOIUrl":null,"url":null,"abstract":"This paper applies the Fractional Fourier Transform (FrFT) to a collected seismic trace to estimate the Earth's reflectivity function. This is done by computing the FrFT domain ‘a’ in which the source wavelet is as close to a delta (or spiking) function as possible, mimicking the concept of spiking deconvolution. We show by simulation that the proposed method outperforms conventional spiking deconvolution (SD) and time domain deconvolution (TDD) by nearly an order of magnitude over signal-to-noise ratios (SNRs) of −10 to 20 dB.","PeriodicalId":368197,"journal":{"name":"SoutheastCon 2017","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoutheastCon 2017","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.2017.7925350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This paper applies the Fractional Fourier Transform (FrFT) to a collected seismic trace to estimate the Earth's reflectivity function. This is done by computing the FrFT domain ‘a’ in which the source wavelet is as close to a delta (or spiking) function as possible, mimicking the concept of spiking deconvolution. We show by simulation that the proposed method outperforms conventional spiking deconvolution (SD) and time domain deconvolution (TDD) by nearly an order of magnitude over signal-to-noise ratios (SNRs) of −10 to 20 dB.
利用分数阶傅里叶变换对地震波进行尖峰反卷积
本文将分数阶傅立叶变换(FrFT)应用于采集到的地震道,估计地球的反射率函数。这是通过计算FrFT域' a '来完成的,其中源小波尽可能接近delta(或尖峰)函数,模仿尖峰反卷积的概念。我们通过仿真表明,所提出的方法优于传统的尖峰反卷积(SD)和时域反卷积(TDD),在信噪比(SNRs)为- 10至20 dB的范围内提高了近一个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信