低粘度流体在水平井筒中的支撑剂运移与行为

Faraj A. Ahmad, J. Miskimins
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引用次数: 16

摘要

水力压裂建模最重要的组成部分之一是预测支撑剂在井筒和裂缝中的运移,因为由此产生的导流能力对处理后的产量有很大影响。在多级水平井作业中,支撑剂在多个射孔簇之间的分布对作业行为和效果有重大影响。如果支撑剂在射孔簇之间的分布不均匀,那么射孔段就不会得到均匀的增产。文献中对支撑剂在水平井中的运移进行评价的研究很少。本文旨在研究对支撑剂在井筒中的沉降以及支撑剂在射孔簇之间的分布有较大影响的参数,并深入了解处理后的返排行为。这项工作的方法使用了一个水平井筒模型,其中有三个射孔簇,射孔密度为4 SPF, 90度相位。采用淡水作为载液,在水平管中输送支撑剂。研究人员使用了两种不同类型的支撑剂,砂和超轻质陶瓷,它们的网孔大小不同。两个设计参数,注入速度和支撑剂浓度,在整个实验测试中一直在变化。研究结果表明,不同类型的支撑剂在井筒中的沉降速度是不同的。这些差异主要是由于支撑剂浓度的变化以及支撑剂颗粒的大小和形状的变化。支撑剂在射孔簇之间分布不均匀的情况主要发生在支撑剂密度相对较高和流速较低的情况下。然而,在高流速下,趾簇的支撑剂用量最大。这是因为第一簇和第二簇附近的高流速阻止了支撑剂颗粒进入射孔通道。由于载体流体和支撑剂颗粒之间的密度差相对较低,超轻质陶瓷在射孔簇之间的分布最为均匀。最重要的发现是,低粘度流体(淡水)不是一个有效的输运系统,较大的颗粒具有相对较高的密度。这项研究的结果可以用来提高对压裂增产冲洗的良好实践的理解,以及在压裂增产处理和反排过程中支撑剂在整个水平管中的分布/沉积。
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Proppant Transport and Behavior in Horizontal Wellbores Using Low Viscosity Fluids
One of the most significant components of hydraulic fracturing modeling is the prediction of proppant transport in both the wellbore and fractures, as the resulting conductivity has a great impact on post treatment production. In multistage horizontal well treatments, the distribution of proppant between multiple perforation clusters has a substantial impact on treatment behaviors and results. If the proppant is not evenly distributed between the perforation clusters, the perforated intervals will not be equally stimulated. Only a few studies evaluating proppant transport in horizontal wellbores are found in the literature. This paper aims to investigate the parameters that have a large influence on the proppant settling in the wellbore and distribution of the proppants between perforation clusters, as well as providing insight into post-treatment flowback behaviors. The approach to this work uses a model of a horizontal wellbore with three perforation clusters at shot densities of 4 SPF with 90-degree phasing. Fresh water was used as a carrier fluid to transport the proppant in the horizontal pipe. Two different types of proppants, sand and ultra-light-weight ceramic, of varying mesh sizes were used. Two design parameters, injection rate and proppant concentration, have been varied throughout the experimental tests. The results from this work demonstrate that proppant settling velocity in the wellbore is different for each type of proppant. These differences are mainly due to the changes in the proppant concentration as well as the changes in the size and shape of proppant particles. The uneven proppant distribution between perforation clusters was mostly observed in cases where the density of proppnat was relatively high and at low flow rates. However, at high flow rates, the toe cluster received the largest amount of proppant. This occurs because the high flow rates near the first and second clusters prevent the proppant particles from turning into the perforation tunnels. The ultra-light weight ceramic shows the most even distribution between the perforation clusters since the density difference between the carrier fluid and the proppant particle is relatively low. The most significant finding is that the low viscosity fluid (fresh water) is not an effective transport system for larger particles with relatively high densities. The results obtained from this study can be used to improve the understanding of good practices of fracture stimulation flushing, as well as proppant distribution/deposition throughout the horizontal pipe during the fracture stimulation treatment and during flowback processes.
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