PERMEABILITY PREDICTION MODEL BASED ON MULTIPLE REGRESSION TECHNIQUE FOR WELL LOG DATA

Abstract

The present work describes a methodology to evaluate well log parameters and its effect on permeability prediction through Multiple Regression Analysis. Permeability Prediction model has been built and applied to an oil field in Egypt using the available wells data for four wells containing wells log data and special core analysis. And finally, the model was validated by comparing the core permeability values and the calculated permeability values from the model which gave a high match degree, and the model was applied to a new well which has only well log data and the permeability values were predicted through the validated model.