Factorial Kriging Analysis - A Geostatistical Approach To Improve Reservoir Characterization With Seismic Data

In this work the Factorial Kriging analysis for the filtering of seismic attributes applied to reservoir<br>characterization is considered. Factorial Kriging works in the spatial domain in a similar way to the Spectral<br>Analysis in the frequency domain. The incorporation of filtered attributes as a secondary variable in kriging<br>system is discussed. Results prove that Factorial Kriging is an efficient technique for the filtering of seismic<br>attributes images, of which geologic features are enhanced. The attribute filtering improves the correlation<br>between the attributes and the well data and the estimates of the reservoir properties. The differences between<br>the estimates obtained by External Drift Kriging and Collocated Cokriging are also reduced.