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Correlation methods of base-level cycle based on wavelet neural network

Correlation methods of base-level cycle based on wavelet neural network
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摘要 The authors discussed the method of wavelet neural network (WNN) for correlation of base-level cycle. A new vectored method of well log data was proposed. Through the training with the known data set, the WNN can remenber the cycle pattern characteristic of the well log curves. By the trained WNN to identify the cycle pattern in the vectored log data, the ocrrdation process among the well cycles was completed. The application indicates that it is highly efficient and reliable in base-level cycle correlation. The authors discussed the method of wavelet neural network(WNN) for correlation of base-level cycle.A new vectored method of well log data was proposed.Through the training with the known data set,the WNN can remenber the cycle pattern characteristic of the well log curves.By the trained WNN to identify the cycle pattern in the vectored log data,the ocrrelation process among the well cycles was completed.The application indicates that it is highly efficient and reliable in base-level cycle correlation.
出处 《Global Geology》 2007年第1期25-28,共4页 世界地质(英文版)
基金 Supported by Project of Dagang Branch of Petroleum Group Company Ltd,CNPC No TJDG-JZHT-2005-JSDW-0000-00339
关键词 wavelet neural network stratigraphic correlation base-level cycle VECTOR 子波神经系统网络 地层学相关性 带齿三角带 基准面旋回划分
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