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A study on application of Fuzzy Data Mining and Forecasting in oil exploration

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3 Author(s)
Zheng Chang ; School of Computer and Communication Engineering, University of Science and Technology Beijing, China ; Xiaojuan Ban ; Xing Mu

In this paper, we apply Fuzzy Data Mining and Forecasting to the process of the fuzzy data in the field of oil exploration. Based on the advantages and disadvantages of the traditional Kriging method and the Multi-point Geostatistics in geostatistic, the paper proposes the KM method, a new simulation estimation method, to reflect the geological features of a region by combing the traditional Kriging method with Multi-point Geostatistics. In the following paper, we introduce several key issues about the new approach and then put forward corresponding solutions for them, and finally, demonstrate the rationality and validity of the method by comparing the simulation test results.

Published in:

Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on

Date of Conference:

10-15 June 2012