Noises are common events in seismic reflection data that have very striking features in seismograms, affecting seismic data processing and interpretation. Our new SINA Model help the different domains can actually reveal features and geological structures that have been masked by the noises present in current data. S.I.N.A. model for intelligent data processing that does not require prior knowledge is critical to establishing the denoising parameters accurately and efficiently. Deep-learning algorithms in this model facilitate seismic random noise attenuation based on data-driven approaches.