Computer aided geological modeling is always subject to uncertainty because it results from interpolation of sample data. Sample data are subject to uncertainties coming from location error, stochastic nature of the geological variable and imprecise knowledge. The lack of knowledge due to limited sampling data can be viewed as the main source of uncertainty. Besides, in terms of computer modeling another source of uncertainty is the shape complexity shown by geological units. Considering that just few drill holes are available the constructed model is going to present large uncertainties. However, an uncertain model cannot be used for a precise interpretation of geological setting. To overcome this problem, this paper proposes a novel approach for uncertainty reduction and enhancement of the reliability of the geological model. This procedure is based on resampling the computed model and post-processing using this new sample. Results of post-processing are much better than the first interpolated geological model. Besides, this procedure can be repeated until the final result is considered acceptable within the limited extent of the sample data.
GeoKrigagem CNPJ: 21.652.240/0001-40
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