Alhamd Salem Jawad, Manteghian Mehrdad, Dehaghani Amir Hossein Saeedi, Rashid Farhan Lafta
Department of Petroleum Engineering, Faculty of Chemical Engineering, Tarbiat Modares University, P.O. Box 14115-111, Tehran, Iran.
Department of Petroleum Engineering, College of Engineering, Kerbala University, Kerbala, 56001, Iraq.
Sci Rep. 2024 Mar 14;14(1):6148. doi: 10.1038/s41598-024-56722-x.
This study aims to investigate the effects of introducing a 50/50 mixture of silica and magnesium oxide nanoparticles (SNP + MgONP) to the viscosity of Al-Ahdab crude oil (Iraq) at varied concentrations and temperatures. It is observed that the viscosity value drops from 38.49 to 7.8 cP. The highest degree of viscosity reduction is measured to be 56.91% at the maximum temperature of 50 °C and the greatest concentration of 0.4 wt% SM4. The Bingham model can be used to classify the behavior of the crude oil before the Nano-mixture is added. The liquid behavior grew closer to Newtonian behavior once the Nano-mixture was added. Along with a rise in plastic and effective viscosity values, the yield stress value decreases as the concentration of the Nano-mixture increases. The numerical data demonstrate that when the volume proportion of nanoparticles increases, the pressure distribution decreases. Furthermore, as the nanoparticle volume fraction increases, the drag decrease would also increase. SM4 obtains a maximum drag reduction of 53.17%. It is discovered that the sample SM4 has a maximum flow rate increase of 2.408%. Because they reduce the viscosity of crude oil, nanoparticles also reduce the friction factor ratio.
本研究旨在探究在不同浓度和温度下,向伊拉克艾哈代卜原油中引入二氧化硅和氧化镁纳米颗粒的50/50混合物(SNP + MgONP)对其粘度的影响。观察到粘度值从38.49厘泊降至7.8厘泊。在50°C的最高温度和0.4 wt% SM4的最大浓度下,测得最高粘度降低程度为56.91%。宾汉模型可用于对添加纳米混合物之前原油的行为进行分类。添加纳米混合物后,液体行为更接近牛顿行为。随着纳米混合物浓度的增加,屈服应力值降低,同时塑性粘度和有效粘度值增加。数值数据表明,当纳米颗粒的体积比例增加时,压力分布降低。此外,随着纳米颗粒体积分数的增加,减阻也会增加。SM4的最大减阻率为53.17%。发现样品SM4的最大流速增加了2.