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Full waveform inversion (FWI) produces high-resolution seismic velocity models, which improve seismic imaging. Where FWI uses the full wavefield, i.e. transmitted and reflected data, there is a potential improvement in the integration with amplitude seismic data; these models can fill the spectral gap between zero and the lowest useable frequency of amplitude seismic data to create an absolute inversion product. The question arises: what seismic frequency should be used to create these high-resolution FWI velocity models to cost-effectively estimate absolute elastic properties from seismic data? Analysis exploring this commercial dilemma is presented by mean of a case study in the Norwegian Sea where shallow geological bodies, in this case siliceous pelagic sediments (ooze), present significant imaging challenges. The study shows how these imaging complexities have been overcome by the use of broadband seismic integrated with FWI velocity model building and high-end imaging. Iterations reveal that there is cost-benefit sweet-spot for how much overlap is necessary between low frequency models from velocity and broadband seismic amplitude data, and therefore how high an upper frequency limit for the seismic data that creates the FWI model should be.