<p>The prediction of nanoparticle adsorption in porous media plays a crucial role in both scientific research and engineering applications. A novel pore network model is developed to account for the effects of nanoparticle adsorption on porous media structure. In the proposed model, nanoparticle transport is described by the convective diffusion equation and irreversible kinetic equations to calculate adsorption efficiency. Based on the principle of equal hydraulic conductance, an equivalent contraction coefficient is derived for throat diameter. This coefficient characterizes throat contraction due to nanoparticle adsorption and facilitates accurate simulation of the interplay between adsorption processes and fluid flow. An efficient solution is achieved by estimating and correcting transport conductance coefficients. Using the proposed model, the effects of inlet boundary type, injection velocity, and nanoparticle size on the flow field in porous media are investigated. The results indicate that the developed pore network model can accurately reflect the transport and adsorption of nanoparticles. The destruction of porous media by nanoparticle adsorption can be divided into two stages: deep adsorption and surface adsorption. Different driving forces of flow lead to variations in nanoparticle concentration and pressure distribution within the porous media.</p>