Multi-well wavelet-synchronized inversion based on particle swarm optimization

IF 0.7 4区 地球科学 Q4 GEOCHEMISTRY & GEOPHYSICS Applied Geophysics Pub Date : 2024-08-24 DOI:10.1007/s11770-024-1123-6
Huan Yuan, San-Yi Yuan, SuQin, Hong-Qiu Wang, Hua-Hui Zeng, Shi-Jun Yue
{"title":"Multi-well wavelet-synchronized inversion based on particle swarm optimization","authors":"Huan Yuan, San-Yi Yuan, SuQin, Hong-Qiu Wang, Hua-Hui Zeng, Shi-Jun Yue","doi":"10.1007/s11770-024-1123-6","DOIUrl":null,"url":null,"abstract":"<p>Wavelet estimation is an important part of high-resolution seismic data processing. However, it is difficult to preserve the lateral continuity of geological structures and effectively recover weak geological bodies using conventional deterministic wavelet inversion methods, which are based on the joint inversion of wells with seismic data. In this study, starting from a single well, on the basis of the theory of single-well and multi-trace convolution, we propose a steady-state seismic wavelet extraction method for synchronized inversion using spatial multi-well and multi-well-side seismic data. The proposed method uses a spatially variable weighting function and wavelet invariant constraint conditions with particle swarm optimization to extract the optimal spatial seismic wavelet from multi-well and multi-well-side seismic data to improve the spatial adaptability of the extracted wavelet and inversion stability. The simulated data demonstrate that the wavelet extracted using the proposed method is very stable and accurate. Even at a low signal-to-noise ratio, the proposed method can extract satisfactory seismic wavelets that reflect lateral changes in structures and weak effective geological bodies. The processing results for the field data show that the deconvolution results improve the vertical resolution and distinguish between weak oil and water thin layers and that the horizontal distribution characteristics are consistent with the log response characteristics.</p>","PeriodicalId":55500,"journal":{"name":"Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Geophysics","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s11770-024-1123-6","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0

Abstract

Wavelet estimation is an important part of high-resolution seismic data processing. However, it is difficult to preserve the lateral continuity of geological structures and effectively recover weak geological bodies using conventional deterministic wavelet inversion methods, which are based on the joint inversion of wells with seismic data. In this study, starting from a single well, on the basis of the theory of single-well and multi-trace convolution, we propose a steady-state seismic wavelet extraction method for synchronized inversion using spatial multi-well and multi-well-side seismic data. The proposed method uses a spatially variable weighting function and wavelet invariant constraint conditions with particle swarm optimization to extract the optimal spatial seismic wavelet from multi-well and multi-well-side seismic data to improve the spatial adaptability of the extracted wavelet and inversion stability. The simulated data demonstrate that the wavelet extracted using the proposed method is very stable and accurate. Even at a low signal-to-noise ratio, the proposed method can extract satisfactory seismic wavelets that reflect lateral changes in structures and weak effective geological bodies. The processing results for the field data show that the deconvolution results improve the vertical resolution and distinguish between weak oil and water thin layers and that the horizontal distribution characteristics are consistent with the log response characteristics.

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
基于粒子群优化的多井小波同步反演
小波估算是高分辨率地震数据处理的重要组成部分。然而,传统的确定性小波反演方法是基于井与地震资料的联合反演,难以保持地质构造的横向连续性,也难以有效恢复软弱地质体。本研究从单井出发,在单井多道次卷积理论的基础上,提出了一种利用空间多井、多井侧地震数据进行同步反演的稳态地震小波提取方法。该方法采用空间可变加权函数和小波不变约束条件,通过粒子群优化从多井和多井侧地震数据中提取最优空间地震小波,以提高提取小波的空间适应性和反演稳定性。模拟数据表明,使用所提方法提取的小波非常稳定和准确。即使在信噪比较低的情况下,所提出的方法也能提取出令人满意的地震小波,反映出构造和弱有效地质体的横向变化。野外数据处理结果表明,解卷积结果提高了垂直分辨率,区分了弱油层和水薄层,水平分布特征与测井响应特征一致。
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 去求助
来源期刊
Applied Geophysics
Applied Geophysics 地学-地球化学与地球物理
CiteScore
1.50
自引率
14.30%
发文量
912
审稿时长
2 months
期刊介绍: The journal is designed to provide an academic realm for a broad blend of academic and industry papers to promote rapid communication and exchange of ideas between Chinese and world-wide geophysicists. The publication covers the applications of geoscience, geophysics, and related disciplines in the fields of energy, resources, environment, disaster, engineering, information, military, and surveying.
期刊最新文献
Earthquake detection probabilities and completeness magnitude in the northern margin of the Ordos Block Multi-well wavelet-synchronized inversion based on particle swarm optimization Low-Frequency Sweep Design—A Case Study in Middle East Desert Environments Research on Paleoearthquake and Recurrence Characteristics of Strong Earthquakes in Active Faults of Mainland China Capacity matching and optimization of solar-ground source heat pump coupling systems
×
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