An integrated workflow, including careful seismic data conditioning, pre-stack elastic inversion and seismic lithology classification has been applied to predict the distribution of channel sands in a complex turbiditic reservoir. Three partial stacks, with angles in the range 8-50 degrees, have been calibrated using elastic logs at three well locations. A well-based feasibility shows that reservoir sands can in theory be identified from a cross plot of Poisson's ratio versus P-wave impedance. In practice, seismic lithology discrimination is challenging due to a complex AVA response, which is affected by the difference in seismic frequency content between near and ultra far angles. Our simultaneous elastic inversion procedure is able to account for the angle-dependent change in seismic bandwidth and delivers high-resolution estimates of both Pand S-wave impedances, which have been used to calculate a sand lithology cube. The inversion was performed in a layered stratigraphic framework that has been automatically extracted from seismic dip information. This has yielded 3-D images of reservoir elastic properties that better conform to the complex shapes of the channelized sand deposits.

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