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Optimizing selection method of continuous particle size distribution for lost circulation by dynamic fracture width evaluation device
Journal of Petroleum Science and Engineering ( IF 5.168 ) Pub Date : 2021-01-07 , DOI: 10.1016/j.petrol.2020.108304
Jia Li , Zhengsong Qiu , Hanyi Zhong , Xin Zhao , Yifan Yang , Weian Huang

The increase in the pressure bearing capacity is critical for mitigation of lost circulation, and to do so the strength of the plugging zone should be increased via picking an effective evaluation method and choosing the proper particle size distribution (PSD). Therefore, in order to successfully investigate this process, the traditional evaluation device of lost circulation should be improved for dynamic variation of fracture width to find the optimized plugging materials. This means, a new testing apparatus device capable of testing dynamic fracture width should be developed. Additionally, commonly used selection criteria of PSD are incapable of providing us with a continuous PSD curve since they only fulfill discrete PSDs. To overcome these two obstacles, a variety of continuous PSD models based on a new testing device and method are examined. Likewise, the impact of governing parameters and an optimized PSD selection criterion were studied with a specific lost circulation material (calcium carbonate) and concentration in a water-based drilling fluid. The experimental results demonstrate that the normal distribution model provides the best selection result while the sensitive analysis indicate that the factors influencing pressure bearing capacity in a sequential order are: minimum particle size, standard deviation, maximum particle size and average value. Besides, the optimized experiments illustrated that the maximum particle size should be 1.3 times of the maximum fracture width and the minimum particle size should be 0.8 times of the average fracture width. Moreover, the average value should be equal to the optimal particle average size and the standard deviation should be 0.3 times of the particle average size. It was found that the optimized selection method results in the highest plugging efficiency compared to conventional selection criteria. Collectively, the new device and optimal assessing approach would improve the prediction accuracy of pressure bearing capacity to select an appropriate PSD with varying of fracture width in field operations.



中文翻译:

动态裂缝宽度评价装置优化失水连续粒径分布的选择方法

承压能力的提高对于缓解漏失循环至关重要,为此,应通过选择有效的评估方法并选择适当的粒度分布(PSD)来提高堵塞区域的强度。因此,为了成功地研究这一过程,应该改进传统的漏失评价装置,以求裂缝宽度的动态变化,从而找到最佳的堵漏材料。这意味着应该开发一种能够测试动态断裂宽度的新型测试设备。此外,常用的PSD选择标准无法为我们提供连续的PSD曲线,因为它们仅满足离散的PSD。为了克服这两个障碍,研究了基于新测试设备和方法的各种连续PSD模型。同样,研究了控制参数的影响和优化的PSD选择标准,其中使用了特定的漏失循环材料(碳酸钙)和水基钻井液中的浓度。实验结果表明,正态分布模型提供了最好的选择结果,而敏感性分析表明,影响承压能力的因素依次为:最小粒径,标准偏差,最大粒径和平均值。此外,优化实验表明,最大粒径应为最大断裂宽度的1.3倍,最小粒径应为平均断裂宽度的0.8倍。此外,平均值应等于最佳颗粒平均尺寸,标准偏差应为0。粒子平均大小的3倍。已经发现,与常规选择标准相比,优化的选择方法可获得最高的堵塞效率。总体而言,新设备和最佳评估方法将提高承压能力的预测精度,从而在现场作业中选择具有不同裂缝宽度的适当PSD。

更新日期:2021-01-19
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