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Mud filtrate invasion occurs in reservoir zones, this invasion increases the travel times recorded from sonic logs and the density readings recorded from density logs. The responses of synthetic seismograms from these logs, therefore, are more similar to water-saturated rock than to hydrocarbon-bearing rock. The objective of this study is to calibrate the seismic and well data at true reservoir conditions and predict hydrocarbon presence away from well. The integrated workflow starts with 1 petrophysical analyses to estimate reservoir properties within and beyond the invaded zone. Then 2 fluid substitution is applied to correct for mud invasion effects and to calculate gas/oil/brine cases. Offset synthetics 3 are subsequently created to perform seismic-to-well calibration which yields a good match between modeled synthetics and the real seismic data. Results from these three steps prove that good porosity and high saturation hydrocarbon-bearing sands respond as an AVO class 3 signal, while brine sands exhibit dim amplitude responses. Finally, AVO envelopes and fluid factor attributes are generated to map out hydrocarbon presence in the reservoir.