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| 应用优化的BP神经网络模型预测储层伤害程度 | |
| 引用本文： | 罗向荣,任晓娟,赵强,王亚鹏.应用优化的BP神经网络模型预测储层伤害程度[J].辽宁化工,2011,40(5):505-508. |
| 作者姓名： | 罗向荣 任晓娟 赵强 王亚鹏 |
| 作者单位： | 1. 西安石油大学石油工程学院,陕西西安,710065 2. 中国石油西北销售玉门分公司,甘肃玉门,735200 3. 大庆油田有限责任公司第七采油厂,黑龙江大庆,163000 |
| 摘 要： | 为了快速、准确的预测柴西北区N21～N22储层伤害程度,在收集岩心分析资料的基础上,建立了预测储层敏感性伤害的神经网络模型。该神经网络模型运用遗传算法和Levenberg-Marquardt算法对BP神经网络的权阈值进行搜索,改进了以往神经网络模型容易陷入局部最优以及收敛速度慢的缺点,有效提高了网络的收敛性和预测的准确率。仿真结果表明：优化后的BP神经网络模型的敏感性伤害程度预测结果与岩心流动实验结果符合率高,同时,优化后的BP神经网络模型比以往的BP网络模型预测速度快、精度高。 |
| 关 键 词： | 敏感性伤害 神经网络 遗传算法 收敛性 |
Application of BP Neural Network Models Based on the Optimization Algorithm in Predicting Reservoir Damage Degree |
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| LUO Xiang-rong,REN Xiao-juan,ZHAO Qiang,WANG Ya-peng.Application of BP Neural Network Models Based on the Optimization Algorithm in Predicting Reservoir Damage Degree[J].Liaoning Chemical Industry,2011,40(5):505-508. | |
| Authors: | LUO Xiang-rong REN Xiao-juan ZHAO Qiang WANG Ya-peng |
| Affiliation: | LUO Xiang-rong1,REN Xiao-juan1,ZHAO Qiang2,WANG Ya-peng3(1.School of Petroleum Engineering,Xi'an Shiyou University,Shaanxi Xi'an 710065,China,2.PetroChina Northwest Sales Yumen Branch,Gansu Yumen 735200,3.Daqing Oilfield Co.,Ltd.No.7 Oil Factory,Heilongjiang Daqing 163000,China) |
| Abstract: | In order to forecast reservoir sensitivity damage in northwest Qaidam quickly and accurately,neural network model predicting the reservoir sensitivity damage was established based on collecting core analysis information.In this model,genetic algorithm and Levenberg-Marquardt algorithm were applied to search the neural network threshold so that the disadvantage that the traditional neural network model was easy to involve local optimum and the convergence speed was slow was modified,the network convergence a... |
| Keywords: | Sensitivity damage Neural network Genetic algorithm Convergence |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |