利用洋底地震仪数据对多参数进行高效弹性全波形反演

IF 1.8 3区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Geophysical Prospecting Pub Date : 2024-03-28 DOI:10.1111/1365-2478.13502
Xinquan Huang, Yuzhu Liu
{"title":"利用洋底地震仪数据对多参数进行高效弹性全波形反演","authors":"Xinquan Huang,&nbsp;Yuzhu Liu","doi":"10.1111/1365-2478.13502","DOIUrl":null,"url":null,"abstract":"<p>Detailed knowledge of the subsurface elastic properties might provide much-needed insight into the subduction-zone structure and the estimation of reservoir parameters. Compressional and shear wave velocities can be inverted by elastic full-waveform inversion using multicomponent ocean-bottom seismometer data. However, this process is computationally intensive, requiring massive, repeated simulations scaling with the number of sources. Although source–receiver reciprocity can streamline elastic full-waveform inversion, it cannot be applied by directly interchanging the positions of sources and ocean-bottom seismometers. To reduce the computational cost, we develop a source–receiver reciprocal elastic full-waveform inversion, in which the reciprocity in multicomponent data can be accomplished by transforming the data matching from the original geometry to a specific form under the reciprocal geometry. This approach significantly reduces computational costs from twice the number of sources, as seen in conventional elastic full-waveform inversion, to a scale with the count of ocean-bottom seismometers. The tests on synthetic data verify that the proposed reciprocal elastic full-waveform inversion maintains accuracy while improving computational efficiency, and further application on the field data from East China Sea also showcases the efficiency of the proposed method, resulting in a speed-up of 10 times.</p>","PeriodicalId":12793,"journal":{"name":"Geophysical Prospecting","volume":"72 6","pages":"2123-2147"},"PeriodicalIF":1.8000,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An efficient elastic full-waveform inversion of multiple parameters with ocean-bottom seismometer data\",\"authors\":\"Xinquan Huang,&nbsp;Yuzhu Liu\",\"doi\":\"10.1111/1365-2478.13502\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Detailed knowledge of the subsurface elastic properties might provide much-needed insight into the subduction-zone structure and the estimation of reservoir parameters. Compressional and shear wave velocities can be inverted by elastic full-waveform inversion using multicomponent ocean-bottom seismometer data. However, this process is computationally intensive, requiring massive, repeated simulations scaling with the number of sources. Although source–receiver reciprocity can streamline elastic full-waveform inversion, it cannot be applied by directly interchanging the positions of sources and ocean-bottom seismometers. To reduce the computational cost, we develop a source–receiver reciprocal elastic full-waveform inversion, in which the reciprocity in multicomponent data can be accomplished by transforming the data matching from the original geometry to a specific form under the reciprocal geometry. This approach significantly reduces computational costs from twice the number of sources, as seen in conventional elastic full-waveform inversion, to a scale with the count of ocean-bottom seismometers. The tests on synthetic data verify that the proposed reciprocal elastic full-waveform inversion maintains accuracy while improving computational efficiency, and further application on the field data from East China Sea also showcases the efficiency of the proposed method, resulting in a speed-up of 10 times.</p>\",\"PeriodicalId\":12793,\"journal\":{\"name\":\"Geophysical Prospecting\",\"volume\":\"72 6\",\"pages\":\"2123-2147\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geophysical Prospecting\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/1365-2478.13502\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geophysical Prospecting","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1365-2478.13502","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0

摘要

对地下弹性特性的详细了解可能为了解俯冲带结构和估算储层参数提供急需的信息。压缩波和剪切波速度可以利用多分量海底地震仪数据进行弹性全波形反演。然而,这一过程的计算量很大,需要进行大量的重复模拟,模拟次数与震源数量成比例。虽然震源-接收器互易可以简化弹性全波形反演,但它不能通过直接交换震源和海底地震仪的位置来应用。为了降低计算成本,我们开发了一种震源-接收器互易弹性全波形反演方法,通过将原始几何形状下的数据匹配转换为互易几何形状下的特定形式,实现多分量数据的互易。这种方法大大降低了计算成本,计算成本从传统弹性全波形反演中的两倍震源数量降低到与海底地震仪数量相当的规模。在合成数据上的测试验证了所提出的倒易弹性全波形反演在提高计算效率的同时保持了精度,而在东海野外数据上的进一步应用也展示了所提出方法的效率,使计算速度提高了 10 倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
An efficient elastic full-waveform inversion of multiple parameters with ocean-bottom seismometer data

Detailed knowledge of the subsurface elastic properties might provide much-needed insight into the subduction-zone structure and the estimation of reservoir parameters. Compressional and shear wave velocities can be inverted by elastic full-waveform inversion using multicomponent ocean-bottom seismometer data. However, this process is computationally intensive, requiring massive, repeated simulations scaling with the number of sources. Although source–receiver reciprocity can streamline elastic full-waveform inversion, it cannot be applied by directly interchanging the positions of sources and ocean-bottom seismometers. To reduce the computational cost, we develop a source–receiver reciprocal elastic full-waveform inversion, in which the reciprocity in multicomponent data can be accomplished by transforming the data matching from the original geometry to a specific form under the reciprocal geometry. This approach significantly reduces computational costs from twice the number of sources, as seen in conventional elastic full-waveform inversion, to a scale with the count of ocean-bottom seismometers. The tests on synthetic data verify that the proposed reciprocal elastic full-waveform inversion maintains accuracy while improving computational efficiency, and further application on the field data from East China Sea also showcases the efficiency of the proposed method, resulting in a speed-up of 10 times.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Geophysical Prospecting
Geophysical Prospecting 地学-地球化学与地球物理
CiteScore
4.90
自引率
11.50%
发文量
118
审稿时长
4.5 months
期刊介绍: Geophysical Prospecting publishes the best in primary research on the science of geophysics as it applies to the exploration, evaluation and extraction of earth resources. Drawing heavily on contributions from researchers in the oil and mineral exploration industries, the journal has a very practical slant. Although the journal provides a valuable forum for communication among workers in these fields, it is also ideally suited to researchers in academic geophysics.
期刊最新文献
Issue Information Simultaneous inversion of four physical parameters of hydrate reservoir for high accuracy porosity estimation A mollifier approach to seismic data representation Analytic solutions for effective elastic moduli of isotropic solids containing oblate spheroid pores with critical porosity An efficient pseudoelastic pure P-mode wave equation and the implementation of the free surface boundary condition
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1