Abstract:

The combination of measured data，rock physics and multivariate statistical analysis in multidimensional space is helpful for interpreting the data quantitatively and reduces the prediction risk of reservoir framework and fluid information. Densities of quartz, clay and fluid were inversed with the density, clay content and measured porosity pressure of typical watersaturated sandstone samples (Dehua Hans G group sandstone samples) in this paper. It reveals that the inversion result is consonant with the real situation. The correlation coe
fficient between fitting density and measured density can reach 0985,5. The highlight of this density inversion method is the combination of multivariate statistical analysis in multidimensional space and the law of mass conservation. Compared to traditional binary regression method in two dimensional space, this method could not only avoid the effect of singular point in regression analysis, but also get fitting density which has more significant correlation with measured density. The relative error between the inversed mean value and measured value is about 2%, and the reliable result indicates that this method is reasonable and effective.

Key words: watersaturated sandstone, multivariate statistical analysis in multidimensional space, density inversion, law of mass conservation