Spatial Interpolation Algorithm In Geological Modeling

Geological model in mineral exploration and development plays an important role in the evaluation of mineral resources and mining programs play a decisive role in the design.However, in the production practice, due to cost and technology, and many other aspects, the whole block is difficult to obtain accurate geological data. In this case, the use of block several wells within the limited accuracy of the data blocks other position on the geological properties of an unavoidable question, the interpolation method is the primary means to solve this problem.This paper discusses the common interpolation methods, presented their basic principles, scope and detail compared the advantages and disadvantages. As Kriging method incomparable advantage over other methods, not only the position relationship between the various points, but also considers the spatial data structure, enabling interpolation results with the unbiased and minimum error variance characteristics. This method of design based Kriging system was developed. In this system, first of several different formats of geological data entry and organiZation, and then calculate experimental variogram and the experimental variogram values of the variation function of fitting the data presented fit with the adjacent points nuggets Methods. After the fitting function based on the generated variations kriging equations, and propose a new test method, all data validation using a ground interpolation result, the final contour and three-dimensional graphics with the way shows the interpolation result. Interpolation generated geological model for the exploration and exploitation of mineral resources provide some reference.