[1]ZHANG Duo,HAN Fengqing.Stratum identification based on the SVM and ordered cluster[J].CAAI Transactions on Intelligent Systems,2014,9(1):98-103.[doi:10.3969/j.issn.1673-4785.201304019]
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Stratum identification based on the SVM and ordered cluster

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 9 Number of periods: 2014 1 Page number: 98-103 Column: 学术论文—机器学习 Public date: 2014-02-25
Title:
Stratum identification based on the SVM and ordered cluster
Author(s):
ZHANG Duo;  HAN Fengqing
School of Management, Chongqing Jiaotong University, Chongqing 400074, China
Keywords:
stratum identification; support vector machine; ordered clustering; training samples; classifier
CLC:
TP631
DOI:
10.3969/j.issn.1673-4785.201304019
Abstract:
The support vector machine (SVM) needs training samples to train itself before identifying stratum, while there are no training samples with stratum identification. Focusing on this problem, this paper puts forward a vector machine classifier based on the ordered clustering algorithm. Firstly, the ordered clustering algorithm is used to get preliminary layered logging data which have been filtered and normalized. Secondly, the training samples are obtained according to preliminary layered outcomes. Finally, the data are layered again by the trained SVM classifier. The algorithm is used to automatically identify the lithology of the selected three wells, and compared with the results of the other algorithms. The results of the simulation experiment show that the algorithm overcomes the drawbacks that the labeled data has to adopt when training SVM, and improves the accuracy of each stratum, reaching 85% on average.
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