The aim of this study is to calibrate synthetic seismic data to the real reservoir for a proposed seismic modelling and inversion studies. For this purpose, well tie was done by generating reflectivity series from log data in TWT, convolving it with Ricker wavelet. Optimal match was then explored by adapting the phase of the wavelet and correlating the resulting synthetic trace with neighbouring traces of the real data. Thus, synthetic post-stack seismic data was simulated using a convolution model in an iterative approach, extracting a wavelet from the seismic data. After a satisfactory calibration, forward prestack seismic modelling was applied to investigate the AVO response of different interfaces. Both the simulated post-stack and prestack models were then verified against real seismic data. Results show a perfect fit of synthetic-to-seismic calibration at WTR well. Good match between the petrophysical and the seismic attributes then implies that well data has been tied to the seismic data (lithologic units can be assigned to logs and seismic parameters at these wells). Therefore, further seismic modelling and inversion can be performed to study the acoustic response of the reservoir in-fills and extract the seismic attributes in this reservoir using these data sets.


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