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Fuzzy Geological Model - Stochastic Realizations Preserving Deterministic Features of Data
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, Petroleum Geostatistics 2015, Sep 2015, cp-456-00068
- ISBN: 978-94-6282-158-3
Abstract
The problem considered is stochastic interpolation of quantitative properties (e.g., porosity) in the space between wells. It is shown that the method of normal score transformation can lead to serious errors. Fuzzy model is described as an approach to categorical interpolation of quantitative data, which is quite natural in the geological environment. The number of categories in Fuzzy model can be about 20. The stochastic realizations of Fuzzy model save deterministic features presented in well data. It is shown that under certain conditions the realizations of Fuzzy model are similar to the realizations of Sequential indicator simulation.