Near Real-Time Tracer Data from the Onsite Tracer Analysis in Nova Field

A. Roostaei, E. Nikjoo, Ali Nadali, Ei Sheen Lau, V. Droppert
{"title":"Near Real-Time Tracer Data from the Onsite Tracer Analysis in Nova Field","authors":"A. Roostaei, E. Nikjoo, Ali Nadali, Ei Sheen Lau, V. Droppert","doi":"10.2118/214351-ms","DOIUrl":null,"url":null,"abstract":"\n This paper describes how near real-time tracer data from the onsite tracer analysis enabled the operator in the Nova field to interactively optimize two well clean-ups to the rig. The tracers provided key information on the clean-up progress in different zones which enabled the operator to make informed and fast decisions to maximize well clean-up efficiency while minimising rig time and cost.\n Verification of well clean-up to increase zonal productivity and to eliminate the risk of damage to the surface production unit with minimum rig time is always a challenge during well start-up. The conventional wellbore clean-up practices are to monitor surface parameters including produced mud volume and basic sediment and water (BS&W) in the production fluids until a certain criterion for these parameters are met. However, this method cannot confirm that all the zones are cleaned up and are contributing to the production. Having the right monitoring technology to confirm well clean-up at the zonal level is therefore essential to successfully clean up the entire reservoir section. Inflow tracers with onsite analysis provide near real-time data on clean-up efficiency in different zones. Unique tracer molecules are embedded into the polymer systems and permanently installed in the lower completion. Oil and water tracers remain dormant until they come into contact with their target fluids. Once activated, the tracers are released into the target fluid for a certain designed life period and can be sampled when the well is opened. The collected samples can be analysed onsite or offsite at a laboratory. The onsite analysis can provide near real-time data and is preferred for a fast decision-making process such as during the clean-up to rig.\n The Nova drilling plan consisted of three oil producers (two horizontal and one slanted). The onsite tracer analysis with fast analysis turnaround time was used for the two horizontal wells. For the first horizontal well (X-3H), the tracer data results confirmed a strong heel clean-up efficiency from the very beginning and a weak toe clean-up efficiency. The middle and toe zone tracers appeared 8 and 12 hrs after opening the well respectively, therefore confirming oil contribution from all zones. Due to weak clean-up at the toe, the operator decided to prolong the clean-up at maximum drawdown to improve the clean-up of the toe section. For the second well (X-4 AHT2), the toe section exhibited effective clean-up from the very beginning while the heel zone showed a gradual clean-up and started to clean up 10 hrs after opening the well.\n Monitoring well performance at the zonal level without any intervention and in a cost-effective manner is a challenge, especially during the initial opening of the well to the rig. In this case, the inflow tracer technology was successfully utilized to provide near real-time validation of clean-up and flow contribution. This enabled the operator to understand his wells’ behaviour and make real-time decision to increase the clean-up efficiency and zonal productivity while efficiently using the rig time during the field development phase.","PeriodicalId":306106,"journal":{"name":"Day 4 Thu, June 08, 2023","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 4 Thu, June 08, 2023","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/214351-ms","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

This paper describes how near real-time tracer data from the onsite tracer analysis enabled the operator in the Nova field to interactively optimize two well clean-ups to the rig. The tracers provided key information on the clean-up progress in different zones which enabled the operator to make informed and fast decisions to maximize well clean-up efficiency while minimising rig time and cost. Verification of well clean-up to increase zonal productivity and to eliminate the risk of damage to the surface production unit with minimum rig time is always a challenge during well start-up. The conventional wellbore clean-up practices are to monitor surface parameters including produced mud volume and basic sediment and water (BS&W) in the production fluids until a certain criterion for these parameters are met. However, this method cannot confirm that all the zones are cleaned up and are contributing to the production. Having the right monitoring technology to confirm well clean-up at the zonal level is therefore essential to successfully clean up the entire reservoir section. Inflow tracers with onsite analysis provide near real-time data on clean-up efficiency in different zones. Unique tracer molecules are embedded into the polymer systems and permanently installed in the lower completion. Oil and water tracers remain dormant until they come into contact with their target fluids. Once activated, the tracers are released into the target fluid for a certain designed life period and can be sampled when the well is opened. The collected samples can be analysed onsite or offsite at a laboratory. The onsite analysis can provide near real-time data and is preferred for a fast decision-making process such as during the clean-up to rig. The Nova drilling plan consisted of three oil producers (two horizontal and one slanted). The onsite tracer analysis with fast analysis turnaround time was used for the two horizontal wells. For the first horizontal well (X-3H), the tracer data results confirmed a strong heel clean-up efficiency from the very beginning and a weak toe clean-up efficiency. The middle and toe zone tracers appeared 8 and 12 hrs after opening the well respectively, therefore confirming oil contribution from all zones. Due to weak clean-up at the toe, the operator decided to prolong the clean-up at maximum drawdown to improve the clean-up of the toe section. For the second well (X-4 AHT2), the toe section exhibited effective clean-up from the very beginning while the heel zone showed a gradual clean-up and started to clean up 10 hrs after opening the well. Monitoring well performance at the zonal level without any intervention and in a cost-effective manner is a challenge, especially during the initial opening of the well to the rig. In this case, the inflow tracer technology was successfully utilized to provide near real-time validation of clean-up and flow contribution. This enabled the operator to understand his wells’ behaviour and make real-time decision to increase the clean-up efficiency and zonal productivity while efficiently using the rig time during the field development phase.
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
来自Nova油田现场示踪分析的近实时示踪数据
本文介绍了来自现场示踪剂分析的近实时示踪剂数据如何使Nova油田的运营商能够交互式地优化钻井平台的两口井清洗。示踪剂提供了不同区域清理进度的关键信息,使作业者能够做出明智和快速的决策,以最大限度地提高清理效率,同时最大限度地减少钻机时间和成本。在油井启动过程中,验证油井清理以提高层间产能并以最少的钻机时间消除对地面生产单元的损坏风险一直是一个挑战。常规的井筒清理方法是监测地面参数,包括产出泥浆体积和生产流体中的基本沉积物和水(BS&W),直到这些参数达到一定的标准。然而,这种方法不能确认所有的层都被清理干净,并有助于生产。因此,拥有正确的监测技术来确认层位层面的油井清理,对于成功清理整个油藏段至关重要。现场分析的流入示踪剂可提供不同层位的近实时清理效率数据。独特的示踪分子嵌入到聚合物体系中,并永久安装在下部完井中。油和水示踪剂在与目标流体接触之前一直处于休眠状态。一旦被激活,示踪剂就会被释放到目标流体中,达到一定的设计寿命,并在开井时进行采样。收集的样品可以在现场或在实验室进行分析。现场分析可以提供近乎实时的数据,是快速决策过程的首选,例如在清理钻井平台期间。Nova钻井计划包括三个油井(两个水平井和一个斜井)。对两口水平井采用现场示踪剂分析,分析周转时间快。对于第一口水平井(X-3H),示踪剂数据结果证实,从一开始就具有很强的足跟清理效率,但趾部清理效率较弱。中部和趾部示踪剂分别在开井后8和12小时出现,因此确认了所有层的石油贡献。由于趾部的清理效果不佳,作业者决定在最大压降下延长清理时间,以改善趾部段的清理效果。对于第二口井(X-4 AHT2),趾段从一开始就进行了有效的清理,而跟段则逐渐清理,并在开井10小时后开始清理。在没有任何干预的情况下,以一种经济有效的方式监测井的性能是一项挑战,特别是在油井初开到钻机的时候。在这种情况下,流入示踪剂技术成功地提供了近乎实时的清理和流动贡献验证。这使作业者能够了解井的动态,并做出实时决策,以提高清理效率和层间产能,同时在油田开发阶段有效利用钻机时间。
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
Utilization of Microfluidics Technology for an Efficient Polymer Screening Process in Enhanced Oil Recovery (EOR) Applications Decarbonization Will Not Come for Free: Asset-M Marginal Abatement Cost Curve Comparing WAG-CO2 Injection with Continuous Water and Gas Injection in Separate Wells for the Development and Management of a CO2-Rich Light Oil Fractured Carbonate Reservoir Subject to Full Gas Recycling ESG, Sustainability and Decarbonization: An Analysis of Strategies and Solutions for the Energy Industry Feasibility Evaluation of Warm Solvent Assisted Gravity Drainage Process in Low-Carbon Developing Super-Heavy Oil or Oil Sands Project
×
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