JMI-FWI: Cascading Workflow Using Joint Migration Inversion (JMI) and Full Waveform Inversion (FWI)

G. Eisenberg-Klein, E. Verschuur, S. Qu, E. Schünemann
{"title":"JMI-FWI: Cascading Workflow Using Joint Migration Inversion (JMI) and Full Waveform Inversion (FWI)","authors":"G. Eisenberg-Klein, E. Verschuur, S. Qu, E. Schünemann","doi":"10.3997/2214-4609.201900035","DOIUrl":null,"url":null,"abstract":"Summary Data driven Velocity Model Building (VMB) based on Full Waveform Inversion requires very broad band, especially low frequnecy data content to overcome the cycle skipping problem. In this paper we demonstrate how the Joint Migration Inversion method introduced by the DELHPI consortium group applied in a cascaded workflow to preduce a hich quality velocity model to start and reduce efforts in Full Waveform Inversion.","PeriodicalId":350524,"journal":{"name":"Second EAGE/PESGB Workshop on Velocities","volume":"295 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Second EAGE/PESGB Workshop on Velocities","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.201900035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Summary Data driven Velocity Model Building (VMB) based on Full Waveform Inversion requires very broad band, especially low frequnecy data content to overcome the cycle skipping problem. In this paper we demonstrate how the Joint Migration Inversion method introduced by the DELHPI consortium group applied in a cascaded workflow to preduce a hich quality velocity model to start and reduce efforts in Full Waveform Inversion.
JMI-FWI:使用联合迁移反演(JMI)和全波形反演(FWI)的级联工作流
基于全波形反演的数据驱动速度模型构建(VMB)需要非常宽的频带,特别是低频数据内容来克服周期跳变问题。在本文中,我们展示了DELHPI联盟小组引入的联合偏移反演方法如何应用于级联工作流程,以产生高质量的速度模型,以启动和减少全波形反演的工作量。
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