利用幂律模型评价井环空岩屑运移

Edward K. Menegbo, Eme Charles, A. Dosunmu
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引用次数: 2

摘要

岩屑输送效率是保证钻井作业顺利进行的重要因素。岩屑在环空中的运移是一个复杂的问题,受许多参数的影响。为了有效地预测岩屑运移,需要同时考虑所有这些参数。在钻井作业中,由于钻井参数的相互作用,预测压力损失和岩屑通过环空是非常复杂的。钻井作业的成功是由于有效地清洗了井眼。为了更好地理解这些参数对岩屑运移的影响,采用非牛顿粘度模型的幂定律建立了环空岩屑运移过程的数学模型。井眼清洁面临的一些挑战是:缺乏充分评估当前现场实践和钻屑运移概念所需的基本数据,作业参数和钻井液性质的综合影响,作业参数和切削性能的影响,以及流变模型对切削运移模拟的影响。在钻井过程中,井眼清洁不良会导致许多井眼问题,从而产生负面影响。总体效果是增加钻井时间和钻井成本。该工具可以更精确地预测整个井段的岩屑运移特性。研究了环空流体流速、岩屑输运比、岩屑尺寸和密度等因素对岩屑运移的影响。结果表明,控制切削输运的最重要因素是环向速度和流体流变特性。从模拟结果可以看出,在1.42m/s时获得了最佳输运比。在1.42 ~ 1.62 m/s的速度范围内,输运比随速度的增加而迅速增加,然后趋于平稳或增加较慢。从结果还可以推断出,岩屑速度随流量增大而增大;但是这个增量并不遵循线性行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Cuttings Transport in Well Annulus Using Power Law Model
The efficiency of cuttings transport is very important factor for a good drilling operation program. The transportation of these cuttings through the annulus is a complex problem that is affected by many parameters. For effective cuttings transport prediction, it will require that all these parameters be considered simultaneously. Predictions of pressure losses and cuttings transportation through the annulus are very complex during drilling operation due to the combination of interacting drilling parameters. Success during drilling program is due to efficiently cleaned hole. For better understanding of the effects of some of these parameters that affect cutting transportation, the power law of non-Newtonian viscosity model was adopted to establish the mathematical model of the cutting transport process in the well annulus. Some of the hole-cleaning challenges focused are: the absence of the basic data needed to fully evaluate present field practices and current concepts on drill cutting transport, the combined effect of operational parameters and drilling fluid properties, the effect of operational parameters and cutting properties and what is the effect of rheology model on cutting transport simulation. Poor hole-cleaning during drilling can lead to a lot of bore hole issues which has a negative effects. The overall effect is increase in drilling time and drilling cost. The proposed tool allows more precise prediction of cuttings transport property in the whole range of the well. In this paper, the effects of annular fluid velocity, transport ratio, size and density of cuttings are investigated. The results obtained showed that the most important factors controlling cutting transport are annular velocity and the fluid rheological properties. From the simulation result, it can be observed that an optimum transport ratio was obtained at 1.42m/s. The transport ratio increases rapidly with velocity but then begins to level out or increase more slowly in the velocity range of 1.42 to 1.62 m/s. We can also deduce from the result that cuttings velocity increases with the flow rate; but this increment does not follow a linear behaviour.
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