Challenges in Brazil pre-salt carbonate reservoir characterization: a realistic 3D synthetic study

H. Wang, O. Burtz, R. Parth, Y. Yu, B. Curry, E. Hixon, B. Laugier
{"title":"Challenges in Brazil pre-salt carbonate reservoir characterization: a realistic 3D synthetic study","authors":"H. Wang, O. Burtz, R. Parth, Y. Yu, B. Curry, E. Hixon, B. Laugier","doi":"10.3997/2214-4609.201982007","DOIUrl":null,"url":null,"abstract":"Summary The ability to differentiate between good quality carbonate reservoir and low permeability limestone or volcano-clastic lithology using seismic data is key to successful exploration and development in the Brazil pre-salt play. However, the reservoir characterization is strongly coupled with the imaging challenges associated with the complex overburden and lateral property variations. In order to gain insights into this problem, we carefully build 3D elastic models for a synthetic study using real data acquisition parameters and simulated full-wavefield elastic data. The synthetic data generated via elastic full-wave simulation closely resembles the actual data challenges, even under ideal settings. The richness of this dataset and the complexity of the model provides a laboratory to test various workflows and approaches from conventional processing/imaging/ inversion to more complex imaging and reservoir characterization workflows.","PeriodicalId":443436,"journal":{"name":"First EAGE Workshop on Pre-Salt Reservoir: from Exploration to Production","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"First EAGE Workshop on Pre-Salt Reservoir: from Exploration to Production","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.201982007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Summary The ability to differentiate between good quality carbonate reservoir and low permeability limestone or volcano-clastic lithology using seismic data is key to successful exploration and development in the Brazil pre-salt play. However, the reservoir characterization is strongly coupled with the imaging challenges associated with the complex overburden and lateral property variations. In order to gain insights into this problem, we carefully build 3D elastic models for a synthetic study using real data acquisition parameters and simulated full-wavefield elastic data. The synthetic data generated via elastic full-wave simulation closely resembles the actual data challenges, even under ideal settings. The richness of this dataset and the complexity of the model provides a laboratory to test various workflows and approaches from conventional processing/imaging/ inversion to more complex imaging and reservoir characterization workflows.
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
巴西盐下碳酸盐岩储层表征面临的挑战:一项现实的3D合成研究
利用地震数据区分优质碳酸盐岩储层与低渗透灰岩或火山碎屑岩岩性的能力是巴西盐下储层勘探开发成功的关键。然而,储层表征与复杂覆盖层和横向物性变化相关的成像挑战密切相关。为了深入了解这一问题,我们利用真实的数据采集参数和模拟的全波场弹性数据,精心构建了三维弹性模型进行综合研究。通过弹性全波模拟生成的合成数据与实际数据挑战非常相似,即使在理想设置下也是如此。该数据集的丰富性和模型的复杂性为测试从传统处理/成像/反演到更复杂的成像和储层表征工作流程的各种工作流程和方法提供了实验室。
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
自引率
0.00%
发文量
0
期刊最新文献
Forecasting geomechanical behaviour in pre-salt fields Exploratory-scale OBN seismic acquisition in Santos Basin Towards Efficient Ocean Bottom Seismic Acquisition in Pre-Salt Brazil Porosity characterization of complex silicified carbonates reservoirs of BM-C-33 Structural cross-section restoration and its applications in reservoir quality prediction in pre-salt Santos basin
×
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