Particle swarm optimization in multilayer perceptron learning for well log data inversion

Kou-Yuan Huang*, Liang Chi Shen, Kai Ju Chen, Ming Che Huang

*此作品的通信作者

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

We adopt the multilayer perceptron (MLP) to approximate the nonlinear input-output mapping and propose the use of particle swarm optimization with mutation (MPSO) algorithm to adjust the weights in MLP. In the supervised training step, the input of the network is the apparent conductivity (Ca) and the desired output is the true formation conductivity (Ct). MLP with optimal size 10-9-10 is chosen as the model. We have experiment in simulation and real data application. In simulation, there are 31 sets of simulated well log data, where 25 sets are used for training, and 6 sets are used for testing. After training the MLP network, input Ca, then Ct' can be inverted in testing process. Also we apply it to the inversion of real field well log data. The result is acceptable. It shows that the proposed MPSO algorithm in MLP weight adjustments can perform the well log data inversion.

原文English
主出版物標題Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012
發行者Society of Exploration Geophysicists
頁面529-533
頁數5
ISBN(列印)9781622769452
DOIs
出版狀態Published - 2012
事件Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012 - Las Vegas, United States
持續時間: 4 11月 20129 11月 2012

出版系列

名字Society of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012

Conference

ConferenceSociety of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012
國家/地區United States
城市Las Vegas
期間4/11/129/11/12

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