Accelerated Design of Sidetrack and Deepening Well Trajectories

IF 3.2 3区 工程技术 Q1 ENGINEERING, PETROLEUM SPE Journal Pub Date : 2023-12-01 DOI:10.2118/218395-pa
Umesh Singh, Rizwan Pathan, Amol Dilip Joshi, Adrien Cavé, Cédric Fouchard, Antonin Baume
{"title":"Accelerated Design of Sidetrack and Deepening Well Trajectories","authors":"Umesh Singh, Rizwan Pathan, Amol Dilip Joshi, Adrien Cavé, Cédric Fouchard, Antonin Baume","doi":"10.2118/218395-pa","DOIUrl":null,"url":null,"abstract":"\n Sidetrack and deepening wells play a pivotal role in enhancing oil and gas recovery while simultaneously reducing drilling costs, particularly in cluster well scenarios. These wells leverage existing wellbores effectively, resulting in substantial reductions in development expenses. Deepening wells maximize cost savings by utilizing the entire length of preexisting wellbores. These wells strategically access low-permeability layers, thin pay zones, wedge zones, and marginal reserves while also serving as rapid response solutions during emergencies to expedite risk mitigation in accidents. There is a pressing need for expedient, safer, and cost-effective well designs to achieve economic efficiency, which necessitates the development of advanced design methodologies. However, designing optimized 3D sidetrack and deepening well trajectories for oil and gas reservoir access while mitigating collision risks is a complex and time-consuming task that demands meticulous planning and exhaustive well path analysis, often involving multiple iterations to ensure cost-effective solutions meeting drillability and safety constraints. In this study, we develop an integrated framework for the accelerated design of sidetrack and deepening well trajectories, complemented by a trajectory optimization algorithm to generate safer and cost-effective well trajectories. The developed framework is rigorously tested in a live Nigerian oil and gas field. The case study involves the design of a sidetrack and a deepening well trajectory in a crowded brownfield consisting of 21 legacy wells. The results of the case study exhibit the significance of the established framework on streamlining the well design process, leading to expedited creation of efficient and safe sidetrack and deepening well trajectories.","PeriodicalId":22252,"journal":{"name":"SPE Journal","volume":"282 2","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SPE Journal","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.2118/218395-pa","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, PETROLEUM","Score":null,"Total":0}
引用次数: 0

Abstract

Sidetrack and deepening wells play a pivotal role in enhancing oil and gas recovery while simultaneously reducing drilling costs, particularly in cluster well scenarios. These wells leverage existing wellbores effectively, resulting in substantial reductions in development expenses. Deepening wells maximize cost savings by utilizing the entire length of preexisting wellbores. These wells strategically access low-permeability layers, thin pay zones, wedge zones, and marginal reserves while also serving as rapid response solutions during emergencies to expedite risk mitigation in accidents. There is a pressing need for expedient, safer, and cost-effective well designs to achieve economic efficiency, which necessitates the development of advanced design methodologies. However, designing optimized 3D sidetrack and deepening well trajectories for oil and gas reservoir access while mitigating collision risks is a complex and time-consuming task that demands meticulous planning and exhaustive well path analysis, often involving multiple iterations to ensure cost-effective solutions meeting drillability and safety constraints. In this study, we develop an integrated framework for the accelerated design of sidetrack and deepening well trajectories, complemented by a trajectory optimization algorithm to generate safer and cost-effective well trajectories. The developed framework is rigorously tested in a live Nigerian oil and gas field. The case study involves the design of a sidetrack and a deepening well trajectory in a crowded brownfield consisting of 21 legacy wells. The results of the case study exhibit the significance of the established framework on streamlining the well design process, leading to expedited creation of efficient and safe sidetrack and deepening well trajectories.
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
加速设计侧钻井和深井轨迹
侧钻井和加深井在提高油气采收率的同时降低钻井成本方面发挥着关键作用,特别是在集群井方案中。这些油井能有效利用现有井筒,从而大幅降低开发成本。深井通过利用现有井筒的整个长度,最大限度地节约成本。这些油井可以战略性地进入低渗透层、薄层、楔形层和边际储量,同时还可以作为紧急情况下的快速反应解决方案,加快事故风险的降低。为实现经济效益,迫切需要更便捷、更安全、更具成本效益的油井设计,这就需要开发先进的设计方法。然而,设计优化的三维侧钻井和加深井轨迹以获取油气藏,同时降低碰撞风险,是一项复杂而耗时的任务,需要细致的规划和详尽的井道分析,往往需要多次反复,以确保成本效益高的解决方案满足可钻性和安全性约束。在这项研究中,我们开发了一个综合框架,用于加速设计侧钻和深井轨迹,并辅以轨迹优化算法,以生成更安全、更具成本效益的油井轨迹。开发的框架在尼日利亚油气田进行了严格测试。案例研究涉及在一个由 21 口遗留油井组成的拥挤的棕色油田中设计侧轨和加深油井轨迹。案例研究结果表明,所建立的框架在简化油井设计流程方面具有重要意义,可加快创建高效、安全的侧轨和加深井轨迹。
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
SPE Journal
SPE Journal 工程技术-工程:石油
CiteScore
7.20
自引率
11.10%
发文量
229
审稿时长
4.5 months
期刊介绍: Covers theories and emerging concepts spanning all aspects of engineering for oil and gas exploration and production, including reservoir characterization, multiphase flow, drilling dynamics, well architecture, gas well deliverability, numerical simulation, enhanced oil recovery, CO2 sequestration, and benchmarking and performance indicators.
期刊最新文献
Sensitivity Analysis and Comparative Study for Different Detection Modes of Logging-While-Drilling Ultradeep Azimuthal Electromagnetic Tools A Grain Size Profile Prediction Method Based on Combined Model of Extreme Gradient Boosting and Artificial Neural Network and Its Application in Sand Control Design Dynamic Scaling Prediction Model and Application in Near-Wellbore Formation of Ultradeep Natural Gas Reservoirs Injection Temperature Impacts on Reservoir Response during CO2 Storage Virtual Meter with Flow Pattern Recognition Using Deep Learning Neural Networks: Experiments and Analyses
×
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