基于动态缝宽的裂缝型漏失架桥颗粒粒径优选方法

Optimization Method for Bridging Particle Size in Fracture-Type Lost Circulation Based on Dynamic Fracture Width

  • 摘要: 为解决堵漏时堵漏颗粒与动态裂缝匹配问题,基于1/3~2/3架桥规则,考虑动态缝宽波幅,确定了粒径筛选的基准缝宽,建立了基于动态缝宽的堵漏颗粒粒径优选数学模型,提出了关键架桥颗粒的稳定性判据;分析了架桥稳定性的影响因素,并通过模拟实验验证了优选颗粒的堵漏能力。结果表明:最大缝宽从3.5 mm增大至4.2 mm时,最大架桥颗粒粒径从1.75 mm增加至2.10 mm;最小缝宽决定了架桥颗粒粒径的上限。架桥颗粒粒径随着最大缝宽增加而增加;当最大架桥颗粒粒径与最小缝宽尺寸相等时,有“封门”风险;动态缝宽波幅大于50%时,架桥颗粒不能在裂缝中形成稳定架桥,需采取其他工艺堵漏;基于该模型优选的堵漏体系,能适应37%的动态缝宽波幅;在动态裂缝实验中承压能力达9.8 MPa,累计漏失量为93 mL,优于传统的静态架桥规则。该模型通过精准量化动态裂缝下的颗粒粒径,显著提升了动态堵漏效果,可为现场优选堵漏材料粒径和配比提供理论参考。

     

    Abstract: To address the issue of matching lost circulation materials with dynamic fractures during plugging operations, based on the 1/3-2/3 bridging rule and considering the amplitude of dynamic fracture width, a reference fracture width for particle size screening was determined. A mathematical model for optimizing the particle size of lost circulation materials based on dynamic fracture width was established, and a stability criterion for key bridging particles was proposed. The factors influencing bridging stability were analyzed, and the plugging capability of the optimized particles was verified through simulation experiments. The results show that when the maximum fracture width increases from 3.5 mm to 4.2 mm, the maximum bridging particle size increases from 1.75 mm to 2.10 mm, while the minimum fracture width determines the upper limit of the bridging particle size. The bridging particle size increases with the maximum fracture width. When the maximum bridging particle size equals the minimum fracture width, there is a risk of bridging-off. When the amplitude of dynamic fracture width exceeds 50%, bridging particles cannot form a stable bridge within the fracture, necessitating alternative plugging techniques. The lost circulation material system optimized by this model can accommodate a dynamic fracture width amplitude of 37%, achieving a pressure bearing capacity of 9.8 MPa and a cumulative fluid loss of 93 mL in dynamic fracture experiments, outperforming traditional static bridging rules. By accurately quantifying particle sizes under dynamic fracture conditions, this model significantly improves dynamic plugging performance. The findings provide a theoretical reference for optimizing the particle size and proportioning of lost circulation materials in field applications.

     

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