DocumentCode :
2160141
Title :
Correlation methods of base-level cycle based on wavelet neural network
Author :
Xu, Xiangjun ; Xu, Xingke ; Wenqing, Li
Author_Institution :
College of Earth Sciences, Jilin University, Changchun, China
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
4456
Lastpage :
4458
Abstract :
A method of wavelet neural network (WNN) for correlation of base-level cycle is given. Wavelet neural network is introduced first. Then, a new method of Vectored of well logs is proposed. Through the training which causes the wavelet neural network memories the cycle pattern characteristic of the curve, and using the trained wavelet neural network to identify the memory cycle pattern of the well vectored group to be processed, thus realizes the contrast between the well cycles. Real application indicates that it is highly efficient and reliable in base-level cycle correlation.
Keywords :
Artificial neural networks; Correlation; Earth; Educational institutions; Geology; Wavelet analysis; Wavelet transforms; base-level cycle; stratigraphic correlation; vectored; wavelet neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
Type :
conf
DOI :
10.1109/ICISE.2010.5691713
Filename :
5691713
Link To Document :
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