Smart Hybrid Technology for Water Injector Wells: Installation, Commissioning and Data Interpretation Challenges - Case Study from a Middle Eastern Field

R. V. Rachapudi, S. Alshehhi, Omar Saadwai, Gokhan Ayidinoglu, C. Dodan, M. Khaled, Fernando Quintero, Saber Mubarak, A. R. Gali, Samy Mohammed, Brume Ikogho
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Abstract

Effective reservoir management is critical to the success of water flood developments. Continuous monitoring of downhole parameters such as pressure, temperature and flow profile in water injector wells is vital in order to optimize the water-flood sweep efficiency and to avoid early water breakthrough in nearby oil producer wells. The target field has three stacked tight carbonate reservoirs with low reservoir energy and as such is being developed with water injection scheme from day one. As such, effective monitoring of downhole injection parameters is important from an early stage. A common industry practice to monitor these parameters is to install Permanent Downhole Gauge (PDHG) and Distributed Temperature Sensing (DTS) system. Recently, a new smart Hybrid Technology has been developed to measure the downhole data at surface. This paper describes the successful application of this hybrid technology in a green onshore oil field development. Details are presented about the well bore segmentation design of the DTS system, the hybrid cable installation and the operational challenges with the hookup to the wellhead control system. The paper also presents the data acquired during commissioning job, and interpretation of the temperature data which was used to generate the injection profile along the wellbore. Finally, a strategy for future implementation of the DTS system is discussed. Overall, this technology showcases the application of the smart hybrid completion for real-time monitoring of the water injection profile, including the pressure and rates along with injection volume per segment in the horizontal section. Real-time data from the hybrid technology has been integrated to digital oil field implementation to enhance the real time decision making to optimize the injection rates and to allow the operator to implement the decisions without any delay. This technology optimized the cables requirement and maximized the utilization of cable for multi-application environment to support acquiring Pressure, DTS and DAS data to generate real time injection profile.
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注水井智能混合技术:安装、调试和数据解释挑战——来自中东油田的案例研究
有效的油藏管理是注水开发成功的关键。连续监测注水井的井下参数,如压力、温度和流动剖面,对于优化注水波及效率和避免附近采油井早期见水至关重要。目标油田有三个致密的碳酸盐岩储层,储层能量低,因此从第一天开始就采用注水方案进行开发。因此,从早期开始有效监测井下注入参数非常重要。监控这些参数的常见行业做法是安装永久性井下仪表(PDHG)和分布式温度传感(DTS)系统。最近,一种新的智能混合技术被开发出来,用于测量地面的井下数据。本文介绍了该混合技术在陆上绿色油田开发中的成功应用。详细介绍了DTS系统的井眼分段设计、混合电缆安装以及连接到井口控制系统的操作挑战。本文还介绍了调试过程中获得的数据,以及用于沿井筒生成注入剖面的温度数据的解释。最后,对未来DTS系统的实现策略进行了讨论。总的来说,该技术展示了智能混合完井技术在实时监测注水剖面的应用,包括水平段的压力、速率以及每段的注入量。来自混合技术的实时数据已集成到数字油田实施中,以提高实时决策,优化注入速度,并允许运营商在没有任何延迟的情况下实施决策。该技术优化了电缆需求,并最大限度地提高了电缆在多应用环境中的利用率,以支持获取压力、DTS和DAS数据,从而生成实时注入剖面。
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