| 人工神经网络在采油产量预测中的应用 |
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| 引用本文： | 倪红梅,王维刚,罗仕明.人工神经网络在采油产量预测中的应用[J].陕西理工学院学报(自然科学版),2008,24(3). |
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| 作者姓名： | 倪红梅 王维刚 罗仕明 |
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| 作者单位： | 1. 大庆石油学院,计算机与信息技术学院,黑龙江,大庆,163318
2. 大庆油田,电力集团人力资源部,黑龙江,大庆,163318 |
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| 摘 要： | 为实现采油产量的预测和跟踪分析，建立了一种基于人工神经网络的采油产量预测方法。采用SAS系统对影响采油产量的众多因素做相关分析，依据主要因素并通过人工神经网络建立了采油产量预测模型。实际测试的结果表明，该方法能够提高判断采油产量的精度，且特别适用于不确定或非结构化信息的处理，对采油中各种未知信息的预测有着较好的适用性。
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| 关 键 词： | 人工神经网络 采油产量 BP算法 拓扑结构 |
Application of artificial neutral network in prediction of oil extraction output |
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| NI Hong-mei,WANG Wei-gang,LUO Shi-ming.Application of artificial neutral network in prediction of oil extraction output[J].Journal of Shananxi University of Technology:Natural Science Edition,2008,24(3). |
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| Authors: | NI Hong-mei WANG Wei-gang LUO Shi-ming |
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| Abstract: | To improve the output of oil extraction,a kind of prediction method of output of oil extraction based on artificial neutral network is made to accomplish predicting the output of oil extraction,tracing and analyzing.The SAS system is adopted to analyze many factors which affected output of oil extraction.According to main factors,a kind of predicting model of output of oil extraction is established by artificial neutral network.The result of actual application shows that the method can not only improve accu... |
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| Keywords: | artificial neutral network output of oil extraction BP algorithm topology structure |
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