Seismology is the science that studies earthquakes or, more generally, the propagation of waves within the Earth (or other planetary bodies). We call seismic noise the relatively persistent vibration in the seismograms, which is generated by various sources, such as sea waves, winds, microfractures, passing cars, etc. This part of the seismic signal is generally discarded in traditional seismology studies. However, in recent years, many techniques have been developed to use seismic noise to obtain information on the physical parameters of the subsurface, mainly from shallower layers. These parameters are important in various applications, from regional seismic risk studies to geotechnical applications, such as dam monitoring. However, these techniques are based on theoretical assumptions that are not always satisfied in practice. Therefore, we sought to investigate, using real seismograms and also synthetic seismograms, how different compositions of seismic noise can influence imaging and monitoring techniques.