The nonuniform adsorption of nanoparticles
(NPs) on the solid surfaces
within porous media plays a pivotal role in altering wettability and
oil–water relative permeability. However, the complexity of
accurately simulating oil–water–NPs transport has left
a gap, especially in the research of nonuniform adsorption of NPs.
This study introduces a novel lattice Boltzmann (LB)–Langevin
dynamics (LD) microsimulation method that enables precise simulation
of nanofluid behaviors, including fluid migration, surface adsorption,
and alteration in surface wettability. It concludes that the nonuniform
adsorption of NPs leads to a heterogeneous distribution of wettability
probability density on the solid surface. By formulating a microscopic
equation of the wettability probability density distribution of the
solid surface, our approach can predict the wettability characteristics
under varying nanofluid concentrations and saturation with an average
error of 6.68%. Furthermore, simulations identify an effective nanofluid
saturation range (0.2–0.3) for altering the wettability from
oil-wet to water-wet, with an optimal nanofluid saturation point at
0.4 from the economic efficiency aspect. With the increase of nanofluid
concentration, the water-wet properties increase obviously according
to enhancing the intensity term of nanofluids. The study fills a crucial
research gap but also offers a framework for predicting and optimizing
the wetting properties of porous media, with substantial implications
for enhanced oil recovery (EOR) and environmental engineering applications.