1. A method comprising: a) making a multivariate Gaussian assumption with a normal score transformation for any events within a subsurface formation; b) executing a simple kriging to estimate a prior likelihood mean (y SK ) and variance (δ SK 2 ) for the events; c) calculating, by a processor, a matrix of correlation coefficients (ρ n ) from all collocated combinations of normal scored event pairs; d) executing a simple kriging (λ n ) with a calculated model of multivariate correlation to estimate a likelihood mean (y L ) and variance (δ L 2 ); e) calculating an updated Gaussian Probability Distribution Function (PDF) by combining the prior and likelihood estimates according to the normal score transformation (a); f) transforming the updated Gaussian PDF N(y U , δ U 2 ) back to real units using the normal score transformation (a); g) calculating one or more attribute importance (I n ) using equation I n = λ n · ρ n ∑ n = 1 N ⁢ ⁢ λ n · ρ n , n = 1 , … ⁢ ⁢ N ; and h) obtaining formation measurements for attributes with an attribute importance (I) over exceedance probability of 50% to parameterize a final multivariate model that predicts porosity, permeability, water saturation, or net thickness.