A Comparative Study Of Improved Kriging And Distance Power Inverse Surface Interpolation

Semivariogram is an important mathematical model in Kriging's spatial analysis method, and it is also an effective mathematical model to describe the characteristics of regional variables of ore deposits. This paper introduces the method of using genetic algorithm to fit the semi variogram model in Kriging spatial analysis method to realize the surface interpolation, and compares it with the inverse distance square method, and applies it to the generation of source rock surface in reservoir simulation. The conclusion is that the efficiency of inverse distance square interpolation is high, but the precision is not high; the surface obtained by the improved Kriging interpolation method is high It is better to fit the actual scattered data, but the efficiency is relatively low. The experimental results show that the improved Kriging interpolation is more suitable for the practical engineering application.