Title :
Study on Oil Drilling Prediction Based on Improved FNN Method
Author :
Geng, Xinyu ; Liu, Bin ; Huang, Xiaoyan
Author_Institution :
Sch. of Comput. Sci., Southwest Pet. Univ., Chengdu, China
Abstract :
The prediction of exploitable reserves of oil layer is a complicated problem, which involves many geological and crude oil parameters. Considering its intrinsic properties, this paper put forward an improved fuzzy neural network (FFN) method, and compared it with the traditional BP method. The results showed that this method has better accuracy and reliability, hence it may provide an important reference for the prediction model construction of reserves of oil layer.
Keywords :
backpropagation; fuzzy neural nets; oil drilling; production engineering computing; BP method; fuzzy neural network; improved FNN method; oil drilling prediction; prediction model construction; Artificial neural networks; Fuzzy neural networks; Neurons; Petroleum; Predictive models; Temperature distribution; Training; exploitable reserve; fuzzy neural network; prediction;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8814-8
Electronic_ISBN :
978-0-7695-4270-6
DOI :
10.1109/ICCIS.2010.117
