Title :
A study on application of Fuzzy Data Mining and Forecasting in oil exploration
Author :
Chang, Zheng ; Ban, Xiaojuan ; Mu, Xing
Author_Institution :
Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
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.
Keywords :
data mining; forecasting theory; fuzzy set theory; geology; petroleum industry; production engineering computing; statistical analysis; KM method; Kriging method; forecasting; fuzzy data mining; multipoint geostatistics; oil exploration; petroleum mineral resources; simulation estimation method; Computational modeling; Data mining; Data models; Feature extraction; Geology; Interpolation; Training; Fuzzy Data Mining; Multi-point Geostatistics; Oil Exploration; Traditional Kriging Method;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1507-4
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZ-IEEE.2012.6250818
