Ming-Zhong Li

Prof. Ming-Zhong Li

China University of Petroleum (East China)

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 April 2017 in Energy & Fuels
Verified
Journal Article
Closed access
CLChenwei Liu
Chenwei Liu
MLMing-Zhong Li
Ming-Zhong Li
LCLitao Chen
Litao Chen
YLYuxing Li
Yuxing Li
SZSixu Zheng
Sixu Zheng
GHGuangming Han
Guangming Han

5 August 2016 in Energy & Fuels
Verified
Journal Article
Closed access
CLChenwei Liu
Chenwei Liu
MLMing-Zhong Li
Ming-Zhong Li
CLChunting Liu
Chunting Liu
KGKaili Geng
Kaili Geng
YLYuxing Li
Yuxing Li

31 March 2021 in Nanomaterials
Verified
Journal Article
Open access
PDF file
MLMingliang Luo
Mingliang Luo
XSXiaodong Si
Xiaodong Si
MLMing-Zhong Li
Ming-Zhong Li
XJXiao-Han Jia
Xiao-Han Jia
YYYu-Ling Yang
Yu-Ling Yang
YZYong-Ping Zhan
Yong-Ping Zhan
This paper examines a new study on the synergistic effect of magnetic nanoparticles and wormlike micelles (WLMs) on drag reduction. Fe3O4 magnetic nanoparticles (FE-NPs) are utilized to improve the performance of viscoelastic surfactant (VES) solutions used as fracturing fluids. The chemical composition and micromorphology of the FE-NPs were analyzed with FT-IR and an electron microscope. The stability and interaction of the WLM-particle system were studied by zeta potential and cryo-TEM measurements. More importantly, the influences of the temperature, FE-NP concentration, magnetic field intensity, and direction on the drag reduction rate of WLMs were systematically investigated in a circuit pipe flow system with an electromagnetic unit. The experimental results show that a suitable content of magnetic nanoparticles can enhance the settlement stability and temperature resistance of WLMs. A magnetic field along the flow direction of the fracturing fluid can improve the drag reduction performance of the magnetic WLM system. However, under a magnetic field perpendicular to the direction of fluid flow, an additional flow resistance is generated by the vertical chaining behavior of FE-NPs, which is unfavorable for the drag reduction performance of magnetic VES fracturing fluids. This study may shed light on the mechanism of the synergistic drag reduction effects of magnetic nanoparticles and wormlike micelles.

4 December 2023 in Sensors and Actuators B: Chemical
Verified
Journal Article
Closed access
Meng LiMeng Li
Meng Li
MLMing-Zhong Li
Ming-Zhong Li
ZXZHENYU XU
ZHENYU XU
ALAman Lv
Aman Lv
YJYanwei Jia
Yanwei Jia
MLMan-Kay Law
Man-Kay Law

8 April 2016 in Energy & Fuels
Verified
Journal Article
Closed access
CLChenwei Liu
Chenwei Liu
MLMing-Zhong Li
Ming-Zhong Li
VSVishal K. Srivastava
Vishal K. Srivastava
CKCarolyn Koh
Carolyn Koh

23 August 2023 in ACS Omega
Verified
Journal Article
Open access
ZBZhifeng Bai
Zhifeng Bai
MLMing-Zhong Li
Ming-Zhong Li
Hydraulic fracturing is the main stimulation method in the development of oil and gas fields. It is helpful to predict the fracture support effect during fracturing by calculating the settling velocity of particles in the fracturing fluid. Experimental research shows that fibers mixed into the fracturing fluid can improve the performance of suspended sand. In this study, fiber was considered a solvent in the fracturing fluid, and the constitutive model of the fiber-containing fracturing fluid was modified according to the fluid rheology. From the analysis of the mechanical behavior in the fiber-containing fluid, the settling velocity of particles slowed down because of some reasons. First, the viscosity of the fiber-containing fracturing fluid increased significantly. The other mechanism is the resistance mechanism of the fiber acting on the particle. The apparent viscosity was fitted based on the rheological model and the measurements. Then, the drag coefficient model of the settling particles was built according to the rheological data of the fibrous fluid. A semi-empirical model was developed to predict the terminal settling velocity through research on dynamics. By characteristic analysis of the results, we found that the fiber on the settling velocity is closely related to the concentration of the base fluid. This prediction model is suitable for the base fluid and fiber-containing fracturing fluid, and the average relative difference between the prediction model and measurements was acceptable.