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Synthetic modeling of seismic data has many applications. We propose a method of generating detailed pseudo-velocities by inverting legacy data to sharp relative impedance and combining this with a smooth existing velocity field. This is done for both zero-offset data and angle data in order to obtain complex pseudo velocity models for P ans S wave velocities. These models can then be used to model realistic synthetic seismograms with features based on geologically relevant, complex velocity fields. The generated data has potential applications in geophysics and for training machine learning models for seismic data processing.