Fracture prediction method for narrow-azimuth seismic data of offshore streamer acquisition

IF 0.7 4区 地球科学 Q4 GEOCHEMISTRY & GEOPHYSICS Applied Geophysics Pub Date : 2024-03-01 DOI:10.1007/s11770-024-1077-8
{"title":"Fracture prediction method for narrow-azimuth seismic data of offshore streamer acquisition","authors":"","doi":"10.1007/s11770-024-1077-8","DOIUrl":null,"url":null,"abstract":"<h3>Abstract</h3> <p>Considering the constraints in the costs and efficiency of seismic exploration acquisition, marine hydrocarbon exploration mainly relies on towed-streamer acquisition. However, the seismic data obtained from streamers have limited azimuthal coverage, posing significant challenges for the prediction of complex fractured reservoirs using azimuthal anisotropy features. To address this issue, we proposed a workflow for conventional offshore narrow-azimuth streamer data, including the local angle domain migration imaging and prestack anisotropy inversion methods based on the Rüger approximation equation. First, the local angle domain full-azimuth migration imaging method is used to perform prestack imaging processing on narrow-azimuth streamer seismic data, thus obtaining prestack gather data with azimuth information. The prestack anisotropy parameter inversion method is then used to predict the fracture intensity distribution. Finally, the method and technical process proposed in this paper are applied to the fractured reservoir description of buried hills reservoirs in the deepwater area of the northern South China Sea. The practical results demonstrate that the proposed workflow, which combines full-azimuth migration imaging processing and prestack azimuthal anisotropy parameter inversion, can accurately predict fractured reservoirs using narrow-azimuth seismic data acquired through marine towed-streamer surveys. This technical workflow is also applicable to fracture predictions and reservoir evaluations in similar seismic survey areas.</p>","PeriodicalId":55500,"journal":{"name":"Applied Geophysics","volume":"25 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2024-03-01","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/s11770-024-1077-8","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

Considering the constraints in the costs and efficiency of seismic exploration acquisition, marine hydrocarbon exploration mainly relies on towed-streamer acquisition. However, the seismic data obtained from streamers have limited azimuthal coverage, posing significant challenges for the prediction of complex fractured reservoirs using azimuthal anisotropy features. To address this issue, we proposed a workflow for conventional offshore narrow-azimuth streamer data, including the local angle domain migration imaging and prestack anisotropy inversion methods based on the Rüger approximation equation. First, the local angle domain full-azimuth migration imaging method is used to perform prestack imaging processing on narrow-azimuth streamer seismic data, thus obtaining prestack gather data with azimuth information. The prestack anisotropy parameter inversion method is then used to predict the fracture intensity distribution. Finally, the method and technical process proposed in this paper are applied to the fractured reservoir description of buried hills reservoirs in the deepwater area of the northern South China Sea. The practical results demonstrate that the proposed workflow, which combines full-azimuth migration imaging processing and prestack azimuthal anisotropy parameter inversion, can accurately predict fractured reservoirs using narrow-azimuth seismic data acquired through marine towed-streamer surveys. This technical workflow is also applicable to fracture predictions and reservoir evaluations in similar seismic survey areas.

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
近海流束采集窄方位地震数据的断裂预测方法
摘要 考虑到地震勘探采集成本和效率的限制,海洋油气勘探主要依靠拖曳流媒体采集。然而,流束获取的地震数据方位角覆盖范围有限,这给利用方位角各向异性特征预测复杂断裂储层带来了巨大挑战。为解决这一问题,我们提出了一种针对常规海上窄方位流束数据的工作流程,包括基于鲁格近似方程的局部角域迁移成像和预叠加各向异性反演方法。首先,利用局部角域全方位角迁移成像法对窄方位流地震数据进行预叠加成像处理,从而获得包含方位角信息的预叠加采集数据。然后利用预叠加各向异性参数反演方法预测断裂强度分布。最后,将本文提出的方法和技术流程应用于南海北部深水区埋藏丘陵储层的裂缝储层描述。实践结果表明,所提出的工作流程结合了全方位角迁移成像处理和预叠加方位角各向异性参数反演,能够利用海洋拖曳流勘探获得的窄方位角地震资料准确预测断裂储层。该技术工作流程也适用于类似地震勘探区域的裂缝预测和储层评估。
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