Object Modelling and Related Uncertainties in a Fluvio-Lacustrine Environment with Geological and Seismic Drivers

P. Biver, M. Beele, M. Bez, L. Carcione, N. Haller
{"title":"Object Modelling and Related Uncertainties in a Fluvio-Lacustrine Environment with Geological and Seismic Drivers","authors":"P. Biver, M. Beele, M. Bez, L. Carcione, N. Haller","doi":"10.3997/2214-4609.201901674","DOIUrl":null,"url":null,"abstract":"Summary This paper is presenting an application of object-based modeling technique for a specific fluvio-lacustrine environment. The geological context is firstly depicted. Subsequently, the available information is described and the motivation for using object-based modeling is explained. The challenging part of the study was to build a relevant trend for object proportions; this key point is detailed. The algorithm used is then briefly recalled and some results of the facies model are presented. The last part of the paper is briefly addressing the uncertainties on the geological model to obtain hydrocarbon in place distribution. Some key messages are given as conclusion.","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"35 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"81st EAGE Conference and Exhibition 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.201901674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Summary This paper is presenting an application of object-based modeling technique for a specific fluvio-lacustrine environment. The geological context is firstly depicted. Subsequently, the available information is described and the motivation for using object-based modeling is explained. The challenging part of the study was to build a relevant trend for object proportions; this key point is detailed. The algorithm used is then briefly recalled and some results of the facies model are presented. The last part of the paper is briefly addressing the uncertainties on the geological model to obtain hydrocarbon in place distribution. Some key messages are given as conclusion.
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
具有地质和地震驱动的河流-湖泊环境中的目标建模和相关不确定性
本文介绍了基于对象的建模技术在特定河湖环境中的应用。首先描述了地质背景。随后,描述了可用的信息,并解释了使用基于对象的建模的动机。研究中最具挑战性的部分是建立物体比例的相关趋势;这一点是详细的。然后简要回顾了所使用的算法,并给出了相模型的一些结果。最后简要论述了地质模型在获取油气原位分布时存在的不确定性。最后给出了一些关键信息作为结论。
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
Deep Recurrent Architectures for Seismic Tomography UK Geoenergy Observatories: New Facilities to Understand the Future Energy Challenges A New Approach for Determining Optimum Location of Injection Wells Using an Efficient Dynamic Based Method Microseismic Magnitudes: Challenges in Determining the Correct Moment and Operating Regulatory Frameworks Machine-Learning in Oil and Gas Exploration: A New Approach to Geological Risk Assessment
×
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