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Deriving an impedance image from a velocity model obtained by full waveform inversion is shown to provide a great uplift compared to conventional migration. By using the full wave-field and a least-square fitting process, FWI Imaging gives better continuity of complex structures and greatly improves the signal to noise ratio, revealing subtle impedance contrasts. This technology has been successfully applied on the Culzean OBN dataset, allowing a better understanding of the reservoir. Pushing the FWI maximum frequency to 40Hz enabled to image thin sediment layers and faults, easing the identification of possible reservoir compartments. In terms of monitoring, velocity variations (dv) related to the reservoir evolution, can be detected when running two parallel FWI on base and monitor seismic datasets and analysing the difference between the obtained velocity fields. This dv highlights the hardening and softening layers as well as the compartmentalization in the reservoir. Moreover, in the shallow surface, the resulting dv could also be of great interest to prevent possible hazards during production.