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Auto recognition of carbonate microfacies based on an improved back propagation neural network
Wang YX(王玉玺) ; Liu B(刘波) ; Gao JX(高计县) ; Zhang XF(张学丰) ; Li SL(李顺利) ; Liu JQ(刘建强) ; Tian ZP(田泽普)
刊名Journal of Central South University
2015
关键词carbonate microfacies quantitative recognition bayes stepwise discrimination backward propagation neural network particle swarm optimizer PARTICLE SWARM RESERVOIR LOGS FACIES
DOI10.1007/s11771-015-2892-0
英文摘要Though traditional methods could recognize some facies, e.g. lagoon facies, backshoal facies and foreshoal facies, they couldn't recognize reef facies and shoal facies well. To solve this problem, back propagation neural network(BP-ANN) and an improved BP-ANN with better stability and suitability, o...; supported by the National Natural Science Foundation of China; SCI(E); EI; 中国科学引文数据库(CSCD); bobliu@pku.edu.cn; 09; 3521-3535; 22
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/451406]  
专题地球与空间科学学院
推荐引用方式
GB/T 7714
Wang YX,Liu B,Gao JX,et al. Auto recognition of carbonate microfacies based on an improved back propagation neural network[J]. Journal of Central South University,2015.
APA 王玉玺.,刘波.,高计县.,张学丰.,李顺利.,...&田泽普.(2015).Auto recognition of carbonate microfacies based on an improved back propagation neural network.Journal of Central South University.
MLA 王玉玺,et al."Auto recognition of carbonate microfacies based on an improved back propagation neural network".Journal of Central South University (2015).
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