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Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
ISBN: 978-0-7695-3507-4
pp: 91-96
ABSTRACT
Grey theory is a multidisciplinary and generic theory to cope with systems of poor or deficient information. In this paper, at first a new grey-based model MGM(1, n,m)is proposed based on the general MGM(1, n) forecasting model to deal with the forecasting problems of input-output systems. Then the efficiency and accuracy of this model is tested by applying it to the dynamic forecasting problem of oilfield development during the middle-late stage. Experimental results demonstrate the new method has obviously a higher prediction accuracy than the RBF (Radial Basis Function ) neural network model which is another well know nmethod.
INDEX TERMS
grey theory, oilfield development, dynamic forecasting
CITATION

Y. Yang, Z. Liu and C. Min, "A New Grey-Based System Forecasting Model and Its Application in the Dynamic Forecasting Problem of Oilfield Development during the Middle-Late Stage," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 91-96.
doi:10.1109/CSIE.2009.392
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