Bibliographic Details
| Title: |
基于图像追踪和 Logistic 模型的纤维悬砂性能评价方法. |
| Alternate Title: |
Evaluation method for fiber-assisted proppant suspension performance based on image tracking and Logistic model. |
| Authors: |
刘彧轩1 liuyx_6@163.com, 伍连松1 wls_swpu@163.com, 郭建春1, 蒋名豪1, 江波2, 严顶立1, 陈鼎元3 |
| Source: |
Oil Drilling & Production Technology / Shiyou Zuancai Gongyi. 2025, Vol. 47 Issue 6, p748-756. 9p. |
| Subjects: |
Logistic functions (Mathematics), Fracturing fluids, Automatic tracking, Velocity |
| Abstract (English): |
This study innovatively proposes a new method to quantitatively evaluate the performance of fiber-assisted proppant suspensions and to address the challenge of characterizing proppant settling velocities in fiber-laden fracturing fluids. An integrated analysis framework is developed combining image tracking with the Logistic model. Firstly, image analysis technology is used to track the proppant solid–liquid interface and obtain time-resolved settling data. Subsequently, the resulting settling curves are fitted with the Logistic model to obtain key model parameters. Finally, the proppant settling velocity is derived from the fitted model, and fiber-assisted proppant suspension performance is evaluated under different conditions. The results show that fibers substantially reduce the proppant settling velocity, and that the settling process can be divided into three stages: acceleration, quasi-uniform velocity, and deceleration. Data indicates that increasing fiber concentration from 0% to 0.5% decreases the settling velocity from 61.42 mm/min to 4.98 mm/min, corresponding to a 91.9% reduction. Further sensitivity analysis ranks the influencing factors on settling velocity as follows: fiber concentration, plate seam width, fluid viscosity, fiber length, and cylinder inner diameter. The method proposed herein provides a rigorous theoretical and experimental basis for quantifying fiber-assisted proppant suspension performance and offers practical guidance for optimizing fracturing-fluid formulations and the design of operational parameters. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
针对含纤维压裂液中支撑剂沉降速度难以量化的难题, 旨在建立一套纤维悬砂性能定量评价新方法, 创新性地提出 了一种基于图像追踪和 Logistic 模型的综合分析方法。首先运用图像分析技术, 追踪支撑剂固液分界面, 获取支撑剂时序沉 降数据; 随后采用 Logistic 模型拟合沉降数据, 得到模型参数; 最后根据 Logistic 模型计算支撑剂沉降速度, 并评价不同情 况下的纤维悬砂性能。结果表明: 纤维的加入能显著降低支撑剂沉降速度, 其沉降过程可划分为加速沉降阶段、近似匀速 沉降阶段和减速沉降阶段, 数据显示, 纤维加量从 0 增至 0.5% 时, 沉降速度由 61.42 mm/min 降低至 4.98 mm/min, 降幅达 91.9%。进一步的敏感性分析清晰揭示了各因素对沉降速度的影响权重, 其主次顺序依次为: 纤维加量＞平板缝宽＞液体黏 度＞纤维长度＞量筒内径。本研究所提出的方法为定量评价纤维悬砂性能提供了可靠的理论工具与实验依据, 其明确结论 对指导矿场压裂液配方优化与施工参数设计具有重要的实践价值。 [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
