An improved stochastic inversion of P- to S-wave velocity ratio and compressional modulus based on fast Fourier transform moving average co-simulation

IF 2.2 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Journal of Applied Geophysics Pub Date : 2025-02-01 DOI:10.1016/j.jappgeo.2025.105642
Chen Zhao , Jie Liang , Jiajia Zhang , Yinguo Zhang , Jing Sun , Jing Liao
{"title":"An improved stochastic inversion of P- to S-wave velocity ratio and compressional modulus based on fast Fourier transform moving average co-simulation","authors":"Chen Zhao ,&nbsp;Jie Liang ,&nbsp;Jiajia Zhang ,&nbsp;Yinguo Zhang ,&nbsp;Jing Sun ,&nbsp;Jing Liao","doi":"10.1016/j.jappgeo.2025.105642","DOIUrl":null,"url":null,"abstract":"<div><div>The stochastic seismic amplitude-versus-angle (AVA) inversion is extensively utilized in the estimation of elastic properties and rock physics parameters from seismic data. This method can substantially improve the resolution of reservoir identification in areas where well data are available. Compared with conventional sequential simulation methods, the fast Fourier transform moving average (FFT-MA) simulation exhibits a superior computational efficiency. However, given the limitations of FFT-MA simulation in the simultaneous simulation of multiple elastic properties (such as compressional modulus, VP/VS, and density), the effective application of this method in seismic AVA inversion is challenging. In this study, we propose an FFT-MA co-simulation method for the simultaneous simulation of multiple elastic parameters. This approach establishes possible models constrained by the joint probability distributions of inverted properties, which enhances the accuracy of co-simulated results. Furthermore, we introduce an iterative update method designed to enhance convergence during inversion processes and increase the inversion accuracy. Consequently, an efficient stochastic inversion method is developed through the combination of the FFT-MA Co-simulation method with the iterative update method. The effectiveness of the proposed inversion method is validated through numerical examples and field data application.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"233 ","pages":"Article 105642"},"PeriodicalIF":2.2000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Geophysics","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0926985125000230","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

The stochastic seismic amplitude-versus-angle (AVA) inversion is extensively utilized in the estimation of elastic properties and rock physics parameters from seismic data. This method can substantially improve the resolution of reservoir identification in areas where well data are available. Compared with conventional sequential simulation methods, the fast Fourier transform moving average (FFT-MA) simulation exhibits a superior computational efficiency. However, given the limitations of FFT-MA simulation in the simultaneous simulation of multiple elastic properties (such as compressional modulus, VP/VS, and density), the effective application of this method in seismic AVA inversion is challenging. In this study, we propose an FFT-MA co-simulation method for the simultaneous simulation of multiple elastic parameters. This approach establishes possible models constrained by the joint probability distributions of inverted properties, which enhances the accuracy of co-simulated results. Furthermore, we introduce an iterative update method designed to enhance convergence during inversion processes and increase the inversion accuracy. Consequently, an efficient stochastic inversion method is developed through the combination of the FFT-MA Co-simulation method with the iterative update method. The effectiveness of the proposed inversion method is validated through numerical examples and field data application.
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
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Applied Geophysics
Journal of Applied Geophysics 地学-地球科学综合
CiteScore
3.60
自引率
10.00%
发文量
274
审稿时长
4 months
期刊介绍: The Journal of Applied Geophysics with its key objective of responding to pertinent and timely needs, places particular emphasis on methodological developments and innovative applications of geophysical techniques for addressing environmental, engineering, and hydrological problems. Related topical research in exploration geophysics and in soil and rock physics is also covered by the Journal of Applied Geophysics.
期刊最新文献
Editorial Board Case study on pre-warning and protective measures against rockbursts utilizing the microseismic method in deep underground mining Identifying ultramafic rocks using artificial neural network method based on aeromagnetic data Magnetic and magnetic gradient fields due to a finite line segment The joint PP- and PS-waves inversion method based on the exact reflection coefficient equation for transversely isotropic medium
×
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