Managing Complex, Laterally and Vertically Compartmentalized Reservoirs in a Subsea Tie-Back via Smart Well Completions – Case Studies

N. Smith, Abid Ghous, Sagarika Bharatiya
{"title":"Managing Complex, Laterally and Vertically Compartmentalized Reservoirs in a Subsea Tie-Back via Smart Well Completions – Case Studies","authors":"N. Smith, Abid Ghous, Sagarika Bharatiya","doi":"10.2118/192013-MS","DOIUrl":null,"url":null,"abstract":"\n This paper presents case studies on reservoir and well management of two laterally and vertically compartmentalized Western Australian Triassic gas condensate reservoirs, developed by five multi-zone \"smart\" wells with sand control, tied back to an offshore platform via a subsea network. In managing assets with such complexity, it is imperative to understand reservoir performance on a zone-by-zone basis. Quantifying performance allows management of flux through downhole sand control systems and optimisation of offtake strategy. The majority of the material published to date on \"smart\" wells has been focused on completion design optimisation and minimisation of unwanted oil/water production. There are few existing articles about production and reservoir optimisation of high rate gas wells requiring flux management.\n This paper showcases how remotely-operated selective completions (\"smart\" wells with permanent downhole gauges for each completion coupled with subsea flow meters for each well) have been instrumental in facilitating prompt analysis of zonal reservoir performance and thus in yielding insights into reservoir connectivity and allowing optimisation of zonal contributions. Various case studies will be presented showing how reservoir surveillance data is acquired and interpreted to optimize well zone-by-zone production and to manage flux limits on each producing zone. These case studies will include manipulation of downhole valves to provide information for established techniques such as interference testing and P/Z analysis.\n Data acquisition and interpretation challenges are highlighted along with fit-for-purpose solutions developed to overcome those challenges.\n The insights presented could facilitate better planning of similar systems in the future.","PeriodicalId":11182,"journal":{"name":"Day 3 Thu, October 25, 2018","volume":"124 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 3 Thu, October 25, 2018","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/192013-MS","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

This paper presents case studies on reservoir and well management of two laterally and vertically compartmentalized Western Australian Triassic gas condensate reservoirs, developed by five multi-zone "smart" wells with sand control, tied back to an offshore platform via a subsea network. In managing assets with such complexity, it is imperative to understand reservoir performance on a zone-by-zone basis. Quantifying performance allows management of flux through downhole sand control systems and optimisation of offtake strategy. The majority of the material published to date on "smart" wells has been focused on completion design optimisation and minimisation of unwanted oil/water production. There are few existing articles about production and reservoir optimisation of high rate gas wells requiring flux management. This paper showcases how remotely-operated selective completions ("smart" wells with permanent downhole gauges for each completion coupled with subsea flow meters for each well) have been instrumental in facilitating prompt analysis of zonal reservoir performance and thus in yielding insights into reservoir connectivity and allowing optimisation of zonal contributions. Various case studies will be presented showing how reservoir surveillance data is acquired and interpreted to optimize well zone-by-zone production and to manage flux limits on each producing zone. These case studies will include manipulation of downhole valves to provide information for established techniques such as interference testing and P/Z analysis. Data acquisition and interpretation challenges are highlighted along with fit-for-purpose solutions developed to overcome those challenges. The insights presented could facilitate better planning of similar systems in the future.
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
通过智能完井管理海底回接中复杂、横向和垂直划分的油藏——案例研究
本文介绍了西澳大利亚三叠纪凝析气藏的储层和井管理案例研究,该气藏由5口带有防砂功能的多层“智能”井开发,通过海底网络与海上平台相连。在管理如此复杂的资产时,必须逐层了解储层的动态。量化性能可以通过井下防砂系统进行通量管理,并优化采油策略。迄今为止,大多数关于“智能”井的材料都集中在完井设计优化和最小化不必要的油/水产量上。现有的关于需要通量管理的高产气井的生产和储层优化的文章很少。本文展示了远程选择性完井(每次完井都配有永久性井下仪表和海底流量计的“智能”井)如何有助于及时分析层间油藏的动态,从而深入了解油藏的连通性,并优化层间产量。将介绍各种案例研究,展示如何获取和解释储层监测数据,以逐层优化油井生产,并管理每个生产区的通量限制。这些案例研究将包括对井下阀门的操作,为干扰测试和P/Z分析等现有技术提供信息。重点介绍了数据采集和解释方面的挑战,以及为克服这些挑战而开发的适用解决方案。所提出的见解有助于今后更好地规划类似的系统。
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
Discrete Net-to-Gross Truncated Gaussian Simulation: An Alternative Modelling Approach for CSG Unconventional Reservoirs, Bowen Basin, Eastern Australia Where the Laterals Go? A Feasible Way for the Trajectory Measurement of Radial Jet Drilling Wells Embracing Opportunities and Avoiding Pitfalls of Probabilistic Modelling in Field Development Planning Efficient Integration Method of Large-Scale Reservoir Compaction and Small-Scale Casing Stability Models for Oilfield Casing Failure Analysis Monitoring Water Flood Front Movement by Propagating High Frequency Pulses Through Subsurface Transmission Lines
×
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