Abstract

For generation of permeability relation, Alternating Conditional Expectation (ACE) [1,2] method which is based on non-parametric regression technique is used in this paper. This method quantitatively integrates information for core measured permeability data with log parameters like gamma ray, effective porosity, bulk density, resistivity and volume of clay of a well to estimate relation for permeability profiles generation. For selecting the reliable relation from ACE method for the generation of best permeability profile use of at-a-glance view of the various data sets approach is suggested here