A new method for semi-automatic definition of cluster number in waveform classification
Xiong Wei1, Wan Zhong-hong1, Liu Lan-feng2, Chen Mao-shan1, Zhang Zhong-ping1
1. Geophysical Technology Research Centre, BGP Inc. of CNPC, Zhuozhou City, Hebei province, 072751, China;
2. Faculty of Natural Resources and Information Technology, China University of Petroleum, Beijing City, 102249, China
Abstract：The waveform classification is the mature method in seismic facies analysis, it has been widely used in lithology prediction, sandbody prediction, fracture reservoir prediction and subtle reservoir prediction. However in the past application of the method the selection of seismic facies cluster classification for 2d Kohonen network which was took as input layer was determined by experience and testing, as a result the uncertainty and work load for the classification were increased, then a improved Kohonen network was introduced in this paper to semi-automatically estimate seismic facies cluster number. The theoretical modeling and field data application show that the improved Kohonen network works very well for the estimation of seismic facies cluster number so that the fast classification of seismic facies was realized.
熊伟, 万忠宏, 刘兰锋, 陈茂山, 张中平. 波形分类中半自动确定分类数的方法[J]. 石油地球物理勘探, 2010, 45(2): 265-271.
Xiong Wei, Wan Zhong-hong, Liu Lan-feng, Chen Mao-shan, Zhang Zhong-ping. A new method for semi-automatic definition of cluster number in waveform classification. OGP, 2010, 45(2): 265-271.
