scholarly journals Group Method of Data Handling (GMDH) Lithology Identification Based on Wavelet Analysis and Dimensionality Reduction as Well Log Data Pre-Processing Techniques

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1509 ◽  
Author(s):  
Chuanbo Shen ◽  
Solomon Asante-Okyere ◽  
Yao Yevenyo Ziggah ◽  
Liang Wang ◽  
Xiangfeng Zhu

Although the group method of data handling (GMDH) is a self-organizing metaheuristic neural network capable of developing a classification function using influential input variables, the results can be improved by using some pre-processing steps. In this paper, we propose a joint principal component analysis (PCA) and GMDH (PCA-GMDH) classifier method. We investigated well log data pre-processing techniques composed of dimensionality reduction (DR) and wavelet analysis (WA), using the southern basin of the South Yellow Sea as a case study, with the aim of improving the lithology classification accuracy of the GMDH. Our results showed that the dimensionality reduction method, which is composed of PCA and linear discriminant analysis (LDA), minimized the complexity of the classifier by reducing the number of well log suites to the relevant components and factors. On the other hand, the WA decomposed the well log signals into time-frequency wavelets for the GMDH algorithm. Of all the pre-processing methods, only the PCA was able to significantly increase the classification accuracy rate of the GMDH. Finally, the proposed joint PCA-GMDH classifier not only increased the accuracy but also was able to distinguish between all the classes of lithofacies present in the southern basin of the South Yellow Sea.

2012 ◽  
Vol 32 (2) ◽  
pp. 85-92 ◽  
Author(s):  
Fanghui HOU ◽  
Xunhua ZHANG ◽  
Zhixun ZHANG ◽  
Zhenhe WEN ◽  
Rihui LI ◽  
...  

1999 ◽  
Vol 42 (1) ◽  
pp. 97-112 ◽  
Author(s):  
Ying Wang ◽  
Dakui Zhu ◽  
Kunyuan You ◽  
Shaoming Pan ◽  
Xiaodong Zhu ◽  
...  

Author(s):  
Ye Chen ◽  
Siqi Li ◽  
Xiaoqing Xu ◽  
Manman Ma ◽  
Tiezhu Mi ◽  
...  

2013 ◽  
Vol 664 ◽  
pp. 27-31
Author(s):  
Zhao Jun Song ◽  
Jin Zhou ◽  
Qiao Chen ◽  
Zhen Kui Gu

research of submarine paleochannels has not only a great significance in exploring the evolution of palaeoenvironment of continental shelf but also a practical application value in solving problems on disaster geology and environmental geology in the continental shelf development. Yellow River and Yangtze River both were concentrated in the northern Jiangsu to enter the South Yellow Sea Basin in the Last Glacial, playing an important role in the palaeoenvironment evolution of the South Yellow Sea. On the basis of integrating previous research results and researching a large number of shallow stratigraphic sections of paleochannels in the South Yellow Sea Shelf in detail, identification and research of Yangtze River and Yellow River paleochannels in the South Yellow Sea Shelf are carried out in this paper. Research results show that: the Yangtze River and Yellow River paleochannels in the South Yellow Sea continental shelf are significantly different in the river section, river pattern, major elements, as well as trace elements, clay minerals, carbonate content and heavy mineral assemblages in the river sediments and other aspects. These differences can be used as the evidence for identification of the Yangtze River and Yellow River paleochannels.


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