粘塑性流体中颗粒沉降速度的一种新的广义模型

T. Okesanya, E. Kuru
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引用次数: 5

摘要

对粘塑性流体中球形颗粒的沉降速度进行了实验研究。采用基于沉降颗粒作用力平衡的力学模型和对实验结果的详细统计分析,建立了粘塑性流体中球形颗粒沉降速度的广义预测模型。本研究的主要目的是:1)测量颗粒在各种粘塑性流体中的最终沉降速度,以扩大现有的实验数据数据库。开发一种新的阻力系数-颗粒雷诺数(CD-Rep)相关性,适用于牛顿和非牛顿粘塑性流体。提出一种通用的非迭代方法,用于预测牛顿和非牛顿粘塑性流体中颗粒的沉降速度,而不考虑其流变模型(Casson模型,Herschel Bulkley模型和Bingham模型等)。球形颗粒的沉降速度(比重为2.5 - 7.7;直径:范围从1.09 - 4.00毫米)在各种Carbopol溶液测量使用粒子图像阴影(PIS)。将实验结果与文献中发表的实验数据相结合,拓宽了实证分析的范围和适用性。利用先进的统计分析程序(OriginPro 9.0和MATLAB r2018b)和大量的实验数据建立了新的CD-Rep相关性。本文引入了一个新的修正剪切雷诺数(ReT*),以物理量化非牛顿流体流变特性对沉降速度的影响。Wilson等人(2003)将新开发的CD-Rep相关性和修正的剪切雷诺数结合到模型中,建立了一个广义模型,可用于预测粘塑性流体中的颗粒沉降速度。我们已经证明,与现有模型相比,新模型能更好地预测沉降速度,并产生相对更准确的结果,所有数据点的近似平均绝对误差(MAE)最低为0.1 m/s。除了提高预测精度外,该新模型还消除了应用限制,并提供了当前现有模型所缺乏的预测通用性,因为它适用于非牛顿粘塑性流体的各种流变模型。最后,给出了用所提出的广义模型计算非牛顿粘塑性流体中球形粒子的终端速度的实例。粘塑性流体中颗粒沉降速度的知识对于设计、分析和优化广泛的工业过程是必不可少的,例如油气井钻井中的岩屑输送和水力压裂作业中的支撑剂输送。通过扩充现有的实验数据语料库;我们提供了急需的颗粒沉降速度数据库,可用于相关输运过程(即岩屑和/或支撑剂输运)的建模。最后,通过将描述作用在沉降颗粒上的力的力学模型与新开发的CD-Rep相关性相结合,我们提出了粘塑性流体中颗粒沉降速度的一个新的广义预测模型,该模型可用于优化油气井钻井和水力压裂作业中的颗粒运移。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Generalized Model for Predicting Particle Settling Velocity in Viscoplastic Fluids
An experimental study was conducted to measure the settling velocity of spherical particles in viscoplastic fluids. Using a mechanistic model based on the balance of the forces acting on the settling particle and detailed statistical analyses of the experimental results, a generalized model for predicting settling velocity of spherical particles in viscoplastic fluids was developed. The main objectives of the study were: i.) To measure the terminal settling velocity of particles in various viscoplastic fluids intending to expand the present database of experimental data ii.) To develop a new Drag coefficient-particle Reynolds number (CD-Rep) correlation that is applicable to both Newtonian and non-Newtonian viscoplastic fluids iii.) To present a general non-iterative approach for predicting settling velocities of particles in Newtonian and non-Newtonian viscoplastic fluids irrespective of their rheological models (Casson Model, Herschel Bulkley Model, and Bingham Model etc.). The settling velocities of the spherical particles (Specific gravity ranging from 2.5 - 7.7; Diameters: ranging from 1.09 - 4.00 mm) in various Carbopol solutions were measured using Particle Image Shadowgraphy (PIS). The experimental results were combined with experimental data published in the literature to broaden the range and applicability of empirical analysis. Advanced statistical analysis programs (OriginPro 9.0 and MATLAB r2018b) were utilized together with extensive experimental data to develop a new CD-Rep correlation. In this study, a new modified shear Reynolds number (ReT*) was introduced, which physically quantifies the effects of non-Newtonian fluid rheological properties on the settling velocity. The newly developed CD-Rep correlation and the modified shear Reynolds number were incorporated into the Wilson et al. (2003) model to develop a generalized model that can be used for predicting particle settling velocity in viscoplastic fluids. We have shown that presented new model predicts settling velocity better and yielded relatively more accurate results than existing models with the lowest approximate Mean Absolute Error (MAE) of 0.1 m/s for all data points. In addition to enhanced prediction accuracy, this new model occludes application constraints and offers prediction versatility that is lacking in current existing models by being valid for diverse rheological models of non-Newtonian viscoplastic fluids. The paper is concluded by presenting an illustrative and pragmatic example to calculate the terminal velocity of a spherical particle in a non-Newtonian viscoplastic fluid using the presented generalized model. The knowledge of particle settling velocity in viscoplastic fluids is indispensable for the design, analysis, and optimization of a wide spectrum of industrial processes such as cuttings transport in oil and gas well drilling and proppant transport in hydraulic fracturing operations. By augmenting the current corpus of experimental data; we have provided much-needed particle settling velocity database that can be used for modeling of relevant transport processes (i.e. cuttings and/or proppants transport). Finally, by combining a mechanistic model describing the forces acting on the settling particles with the newly developed CD-Rep correlation, we have presented a new generalized predictive model of particle settling velocity in viscoplastic fluids that can be used for the optimization of particle transport in oil and gas well drilling and hydraulic fracturing operations.
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