This study presents a workflow for generating regional acoustic impedance volume from merged seismic data in the Dutch North Sea. The workflow includes seismic data merge, regional well-seismic calibration, adaptive wavelet extraction and post-stack model-based seismic inversion. 3D surveys of various vintages located around blocks P and Q were collected from public database. 103 wells located within the merged blocks are investigated for the well-seismic calibration. 15 out of these 103 wells with which statistically high correlation values are obtained, are selected for well-based wavelet extraction during adaptive and iterative well-seismic matching. The result of seismic inversion is analyzed using “blind” well. High correlation between the synthetic and real seismic traces at “blind” well location is achieved within stipulated inversion interval. The general trend of AI values resulting from the seismic inversion follows reasonably well to those of well data. AI contrasts observed at different stratigraphic formations such as Middle Holland Claystone Member and Rijn Member are properly captured by inversion and matches fairly good with the distribution observed in the regional well log. The use of regional acoustic impedance volume and map allows evaluation of prospects and fields in the regional context.


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