Microemulsions are
one of the most promising directions in enhanced
oil recovery, but conventional screening methods are time-consuming
and labor-intensive and lack the means to analyze them at the microscopic
level. In this paper, we used the Clint model to predict the changes
in the synergistic effect of the mixed system of anionic surfactant
sodium dodecyl benzenesulfonate and nonionic surfactant polyethoxylated
fatty alcohols (C12E6), generated microemulsions using surfactant
systems with different mole fractions, and used particle size to analyze
the performance and stability of microemulsions, analyze the properties
and stability of microemulsions using particle size, and analyze the
interfacial behaviors and changes of microemulsions when different
systems constitute microemulsions from the point of view of mesoscopic
microemulsion self-assembly behaviors by combining with dissipative
particle dynamics. It has been shown that microemulsion systems generated
from anionic and nonanionic surfactants with a synergistic effect,
based on the Clint model, exhibit excellent performance and stability
at the microscopic level. The method proposed in this paper can dramatically
improve the screening efficiency of microemulsions of anionic and
nonanionic surfactants and accurately analyze the properties of microemulsions,
so as to provide a theoretical basis for the subsequent research on
microemulsions.