| 基于人工神经网络研究原油腐蚀的影响因素 |
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| 引用本文： | 任振甲,张军,骆成双,石鑫,胡松青,张扬. 基于人工神经网络研究原油腐蚀的影响因素[J]. 腐蚀与防护, 2011, 0(4): 293-296 |
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| 作者姓名： | 任振甲 张军 骆成双 石鑫 胡松青 张扬 |
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| 作者单位： | 中国石油大学物理科学与技术学院;中石化西北油田分公司; |
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| 基金项目： | 中石油中青年创新基金(07E1021) |
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| 摘 要： | 针对原油对储运设备腐蚀影响的复杂性,本工作借助人工神经网络输入节点的筛选规则,对影响原油腐蚀性的主要因素进行了筛选,影响因素从最初的18个筛选到最后的9个;然后分别以18个和9个因素作为输入节点构建神经网络模型,通过对比两个模型的预测精度发现,9个输入因素的神经网络模型预测精度更高.对单一影响因素进行敏感性分析,研究了...
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| 关 键 词： | 人工神经网络 原油腐蚀 筛选规则 敏感性分析 |
Influencing Factors of Crude Oil Corrosion Based on Artificial Neural Network |
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| REN Zhen-jia,ZHANG Jun,LUO Cheng-shuang,SHI Xin,HU Song-qing,ZHANG Yang. Influencing Factors of Crude Oil Corrosion Based on Artificial Neural Network[J]. Corrosion & Protection, 2011, 0(4): 293-296 |
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| Authors: | REN Zhen-jia ZHANG Jun LUO Cheng-shuang SHI Xin HU Song-qing ZHANG Yang |
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| Affiliation: | REN Zhen-jia~1,ZHANG Jun~1,LUO Cheng-shuang~1,SHI Xin~2,HU Song-qing~1,ZHANG Yang~1 (1.College of Physics Science and Technology,China University of Petroleum,Dongying 257061,China,2.China Petroleum and Chemical Corporation Northwest Oilfield Branch,Urumqi 830011,China) |
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| Abstract: | For the complexity of crude oil corrosion to transportation equipment,influencing factors of crude oil corrosion were cut down from 18 to 9 by means of a screening principle of input nodes in Artificial Neural Networks (ANN).It was found that the network model with 9 nodes in input layer had more prediction accuracy,than that with 18 nodes.The influence law of each selected factor on corrosion rate was obtained by sensitivity analysis. |
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| Keywords: | Artificial Neural Networks(ANN) crude oil corrosion screening rule sensitivity analysis |
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