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Optimization of Production Performance With ICVs by Using Temperature-Data Feedback in Horizontal Wells

机译:利用水平井温度数据反馈优化ICV生产性能

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摘要

Horizontal wells with intelligent completions have been used widely in many field cases. With inflow-control valves (ICVs), production can be optimized either on individual wells or at large reservoir scale. A critical step in this procedure is to understand the inflow profiles along horizontal wellbores. To develop control and optimization strategies, permanent monitoring systems such as pressure gauges and temperature sensors have been deployed with downhole control valves to provide temperature or pressure data in real time, and to translate downhole-flow conditions from these data. The relationships between temperature and inflow distribution have been developed before in intelligent-well models, and these models are very useful in locating water or gas entries and obtaining better production performances. In this work, we present a new idea-using temperature feedback to directly regulate flow-control valves to achieve an approximately uniform flow distribution. Instead of detecting water or gas flow with different thermal properties of fluids, we aim to regulate flow distribution through temperature behavior to achieve optimal flow conditions. Early-time temperature and pressure data are used to estimate permeability and initial flow profiles along the well; then, developed models are applied to generate a desired temperature profile that yields an evenly distributed flow rate along the wellbore. ICVs are operated on the basis of the guidance from the initial temperature data, and the temperature is monitored as it approaches the desired temperature profile. Through this procedure, we will produce a well at an optimal condition by choking down the flow rate at higher-permeability locations along the well. This can increase oil-flow rate and delay early water breakthrough. This paper explains the details of the procedure. Two examples are used to illustrate the application of the method; one is for a waterdrive reservoir, and the other is a water-injection case. The results show significant improvement in well performance in both examples.
机译:具有智能完井技术的水平井已在许多现场案例中得到广泛使用。使用流入控制阀(ICV),可以在单口井或大型油藏规模上优化产量。此过程中的关键步骤是了解沿水平井眼的流入剖面。为了制定控制和优化策略,已将永久监测系统(例如压力计和温度传感器)与井下控制阀一起部署,以实时提供温度或压力数据,并根据这些数据转换井下流动状况。温度和流入量分布之间的关系以前是在智能井模型中开发的,这些模型对于定位水或天然气入口并获得更好的生产性能非常有用。在这项工作中,我们提出了一个新的想法,即使用温度反馈直接调节流量控制阀,以实现大致均匀的流量分配。我们旨在通过温度行为调节流量分布,以实现最佳的流量条件,而不是检测具有不同流体热特性的水或气体流量。早期的温度和压力数据用于估算沿井的渗透率和初始流量曲线。然后,使用开发的模型来生成所需的温度曲线,该温度曲线将沿井眼产生均匀分布的流速。 ICV在初始温度数据的指导下运行,并在接近所需温度曲线时对温度进行监控。通过此程序,我们将通过抑制沿井的较高渗透率位置处的流速来生产处于最佳条件的井。这可以提高油流量并延迟早期的水突破。本文介绍了该过程的详细信息。用两个例子来说明该方法的应用。一个用于水驱蓄水池,另一个用于注水箱。结果表明,在两个实例中,油井性能都得到了显着改善。

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  • 来源
    《SPE Production and Facilities》 |2011年第3期|p.253-261|共9页
  • 作者

    Zhuoyi Li; Ding Zhu;

  • 作者单位

    Texas A&M University;

    Texas A&M University;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 00:37:36

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