The aim of this study was to characterize the porosity distribution in a mature carbonate reservoir creating a seismic based porosity volume from a post-stack seismic inversion and integrating the result into a geocellular model using a co-kriging algorithm. With this purpose, an acoustic impedance inversion was used to estimate the P-wave impedance using a sparse spike inversion algorithm and the results were used to estimate the porosity distribution into the reservoir through a rock physics relation estimated from well log data. The resultant seismic derived porosity volume was used together with the log porosity to create a porosity geocellular model where the information at individual wells was honored while the distribution between wells was guided by the seismic derived porosity volume. The resultant porosity geocellular model besides of characterize the heterogeneity of the reservoir can be used as input for volumetric calculations and for the generation of a reservoir simulation model that helps to support the locations of new infill wells in the field.


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