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Experimental investigation and rheological behaviors of water-based drilling mud contained starch-ZnO nanofluids through response surface methodology

机译:水性钻井泥土通过响应表面方法含有淀粉 - ZnO纳米流体的实验研究和流变行为

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摘要

The study of rheological properties is one of the essential aspects in designing drilling mud and its performance in operational conditions. The adding nanoparticles and natural polymers such as starch in drilling mud is the one way for modifying rheological properties. In this research, rheological behavior of a water-based drilling mud containing starch and ZnO nanoparticles were investigated and optimized. The rheological parameters were modeled by means of power law and Bingham-plastic models, then they were analyzed using ANOVA. Initially ZnO nanoparticles were synthesized and characterized using scanning electron microscopy (SEM), X-ray diffraction (XRD) and Energy-dispersive X-ray spectroscopy (EDS). Experiments were arranged based upon the central composite design (CCD) and results were analyzed using response surface methodology (RSM). Experimental variables (starch percentage, percentage of nanoparticles and ultrasonic time) were studied at five levels and 17 experiments were obtained with three times repetitions in the center point. The obtained regression equations for the responses were the quadratic mathematical models. The main and interacting effects between variables were studied using the analysis of variance and 3D plots. The results revealed that, the rheological parameters were more influenced by the nanoparticles amount. The optimized values of starch, nanoparticle and ultrasonic time variables were obtained equal to 0.82% (wt.), 0.2% (wt) and 65.0 (min), respectively. (C) 2018 Elsevier B.V. All rights reserved.
机译:流变性质的研究是设计钻井泥浆的重要方面之一及其在操作条件下的性能之一。加入纳米颗粒和天然聚合物如钻井泥浆中的淀粉是改性流变性质的一种方式。在该研究中,研究了含有淀粉和ZnO纳米颗粒的水性钻井泥浆的流变行为并进行了优化。通过动力法和弯曲塑料模型进行流变参数,然后使用ANOVA分析它们。最初合成ZnO纳米颗粒,用扫描电子显微镜(SEM),X射线衍射(XRD)和能量分散X射线光谱(EDS)合成并表征。基于中央复合设计(CCD)来安排实验,并使用响应表面方法(RSM)分析结果。在五个水平下研究了实验变量(淀粉百分比,纳米颗粒和超声时间的百分比),并在中心点重复三次进行了17个实验。所获得的回归方程是响应的是二次数学模型。使用差异分析和3D图来研究变量之间的主要和相互作用。结果表明,流变参数受纳米颗粒量的影响更大。获得的淀粉,纳米粒子和超声时间变量的优化值分别等于0.82%(wt。),0.2%(WT)和65.0(分钟)。 (c)2018年elestvier b.v.保留所有权利。

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