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Numerical Investigation of Encapsulation Technology in Polymer Flooding Processes

机译：聚合物驱过程封装技术的数值研究

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摘要

Polymer flooding is one of the most common chemical EOR techniques used in EOR projects worldwide. However, field applications of polymer flooding are usually limited by the cost of polymer and its considerable loss during the injection. The injectivity and efficiency of polymer flooding are significantly affected by polymer degradation, polymer retention, and high velocity near the wellbore. A function of nanoparticles---encapsulation---can be used to reduce these adverse impacts. Encapsulating polymer in the nanocapsules can isolate polymer from the environment and from impact near the wellbore for a designated releasing time, thereby reducing the impact near the wellbore. To explore the effect of nanocapsules on polymer injection, numerical models for polymer flooding were applied to test the decrease of injection pressure between encapsulated polymer injection and pure polymer injection, under different values of simulation parameters. The viscosity model was then integrated into an in-house grid-based simulator to simulate the transport of capsules and released polymers in the formation. The result indicates that for an engineered releasing time, encapsulating polymer in the nanocapsules can prevent polymer from contacting the environment near the wellbore, thus reducing the injectivity loss occurring near the wellbore and transporting polymers to further areas in the reservoirs.
机译：聚合物驱是全球EOR项目中使用的最常见的化学EOR技术之一。但是，聚合物驱的现场应用通常受到聚合物成本及其在注入过程中的巨大损失的限制。聚合物降解，聚合物滞留和井眼附近的高速显着影响聚合物驱的注入能力和效率。纳米颗粒的功能-封装-可用于减少这些不利影响。将聚合物封装在纳米胶囊中可以使聚合物与环境隔离，并与井眼附近的冲击隔离一段指定的释放时间，从而减少井眼附近的冲击。为了探索纳米胶囊对聚合物注入的影响，在不同的模拟参数值下，采用聚合物驱油数值模型测试包封的聚合物注入与纯聚合物注入之间注入压力的降低。然后将粘度模型集成到内部基于网格的模拟器中，以模拟胶囊和地层中释放的聚合物的运输。结果表明，在工程释放时间内，将聚合物包封在纳米囊中可以防止聚合物与井眼附近的环境接触，从而减少井眼附近发生的注入力损失，并将聚合物运输到储层中的其他区域。

著录项

  • 作者

    Zhu, Mengyuan.;

  • 作者单位

    University of Louisiana at Lafayette.;

  • 授予单位 University of Louisiana at Lafayette.;
  • 学科 Petroleum engineering.
  • 学位 M.S.
  • 年度 2017
  • 页码 96 p.
  • 总页数 96
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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