Studying joint influence of a number of factors on borehole cleaning

Анатолий Иванович Ламбин, Anatoliy Lambin
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Abstract

Studying the behavior of cuttings transport under various conditions using experimental observations and computational fluid dynamics is the main method for analyzing the influence of cuttings, fluid and operating parameters on well cleaning. Despite the existing abundant models and recommendations of researchers, still there are problems with the accuracy of determining the cuttings layer height, critical velocity and other key parameters, which complicates the task of effective solution of the problem of borehole cleaning. The purpose of the study is to analyze the models obtained via the organization of a full factorial experiment and variance analysis to identify the influence of such factors as viscosity and flow rate of the drilling fluid in the annular space and the inclination angle of the well on the degree of cuttings transport. The studies of the kind are carried out using special devices called flow loops. Experimental data were taken from literature sources. To organize a full factorial experiment, the data of the dependent variable were combined into a combinational square, which simplified the coding of factor values. After setting the full factorial experiment, the models were obtained that made it possible to assess the contribution of the studied factors to the process of destruction product removal within the intervals determined while setting the research tasks. The obtained models allowed to determine the influence degree of each of the factors on the process under investigation. The results of the succeeding analysis of variance confirmed the indicated degree of influence and determined the rank of each of the factors in percentage.
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研究多种因素对井眼清洁的共同影响
利用实验观察和计算流体动力学研究各种条件下岩屑运移行为是分析岩屑、流体和作业参数对井清井影响的主要方法。尽管已有丰富的模型和研究者的建议,但岩屑层高度、临界流速等关键参数的确定精度仍然存在问题,这给有效解决井眼清洗问题带来了困难。本研究的目的是通过组织全析因实验和方差分析得到的模型进行分析,找出钻井液在环空空间的粘度、流速、井斜倾角等因素对岩屑运移程度的影响。这类研究是使用称为流动回路的特殊装置进行的。实验数据来源于文献资料。为了组织全因子实验,将因变量的数据组合成一个组合平方,简化了因子值的编码。在设置全因子实验后,获得的模型使得在设置研究任务时确定的间隔内评估所研究因素对破坏产物去除过程的贡献成为可能。所获得的模型允许确定每个因素对所调查过程的影响程度。后续方差分析的结果确认了指示的影响程度,并确定了每个因素的百分比排名。
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