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油藏预成颗粒凝胶匹配粒径与弹性模量的实验研究

Experimental Study on Matched Particle Size and Elastic Modulus of Preformed Particle Gel for Oil Reservoirs.

作者信息

Zhou Kang, Wu Dejun, An Zhibin

机构信息

College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China.

出版信息

Gels. 2022 Aug 14;8(8):506. doi: 10.3390/gels8080506.

Abstract

Suitable elastic modulus and particle size of preformed particle gel are the keys to both diverting water flow and avoiding permanent impairment to reservoirs. Therefore, the paper aims at finding the best matched preformed particle gel for given reservoirs using sand-pack displacement experiments. The results show that the injection pressure of preformed particle gel with excessively small size and elastic modulus is relatively low, indicating poor capacity to increase flow resistance and reduce water channeling. On the other hand, if the particle size and elastic modulus of preformed particle gel are excessively large, the reservoir may be plugged and irreversibly damaged, affecting oil development performance. In fact, the best matched particle size and elastic modulus of preformed particle gel increase with the increase in reservoir permeability. Furthermore, the paper establishes a quantitative logarithmic model between the particle size of preformed particle gel and reservoir permeability. Finally, the established matching relationship is validated via microscopic visualization oil displacement experiments using a glass etching model. The validation experiments indicate that the preformed particle gel (60-80 mesh; 2-4 Pa) selected according to the matching relationship can effectively reduce water channeling and increase sweeping efficiency by as much as 55% compared with water flooding in the glass etching model with an average permeability of 2624 × 10 μm. Therefore, the established matching relationship can provide an effective guide when selecting the best suitable preformed particle gel for a given reservoir in more future applications.

摘要

预制颗粒凝胶合适的弹性模量和粒径是实现分流和避免对油藏造成永久性损害的关键。因此,本文旨在通过填砂驱替实验找到与给定油藏最佳匹配的预制颗粒凝胶。结果表明,粒径和弹性模量过小的预制颗粒凝胶注入压力相对较低,这表明其增加流动阻力和减少水窜的能力较差。另一方面,如果预制颗粒凝胶的粒径和弹性模量过大,油藏可能会被堵塞并受到不可逆的损害,从而影响原油开发效果。实际上,预制颗粒凝胶最佳匹配的粒径和弹性模量会随着油藏渗透率的增加而增大。此外,本文建立了预制颗粒凝胶粒径与油藏渗透率之间的定量对数模型。最后,通过使用玻璃刻蚀模型的微观可视化驱油实验验证了所建立的匹配关系。验证实验表明,根据该匹配关系选择的预制颗粒凝胶(60 - 80目;2 - 4 Pa)在平均渗透率为2624×10μm的玻璃刻蚀模型中,与水驱相比,能有效减少水窜并提高波及效率达55%。因此,所建立的匹配关系在未来更多应用中为给定油藏选择最合适的预制颗粒凝胶时可提供有效的指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1064/9407450/888e454a5a81/gels-08-00506-g001.jpg

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