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This research examines the simulation of surfactant injection strategies for enhanced oil recovery (EOR) in a medium-permeability reservoir utilizing a four-spot injection pattern. A multiscale modeling approach was implemented, beginning with a coreflood model, which was subsequently upscaled to a megacore model, and ultimately to a synthetic field-scale model. The simulation inputs, comprising relative permeability and surfactant properties, were obtained from coreflood experimental data and applied uniformly across different scales. A four-spot injection pattern was utilized in the field-scale model, featuring a central producer with three surrounding injectors. Sensitivity analysis was performed on the injected pore volume (PV) using three scenarios: 0.1 PV, 0.3 PV, and 0.5 PV. The findings indicate that an increase in the injected volume does not consistently correlate with an increase in oil recovery, with the most substantial gains observed at 0.3 PV. The findings highlight the necessity of optimizing injected volume to enhance recovery and reduce chemical consumption. This study offers insights into the development of effective surfactant flooding strategies for reservoirs with medium permeability.