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| 基于小波神经网络的地面集输管道结垢预测研究 | |
| 引用本文： | 李娜,袁宗明,曹鉴华,李德郁,伍顺伟.基于小波神经网络的地面集输管道结垢预测研究[J].石油工程建设,2004,30(5):10-12. |
| 作者姓名： | 李娜 袁宗明 曹鉴华 李德郁 伍顺伟 |
| 作者单位： | 1. 渤海石油工程公司设计所,天津,塘沽,300452 2. 西南石油学院石油工程学院,四川,成都,610500 3. 东方公司研究院大港分院,天津,大港,300280 4. 新疆油田公司勘探开发研究院,新疆,克拉玛依,834000 |
| 摘 要： | 小波神经网络是将小波分析和神经网络理论结合起来的一种神经网络,它克服了传统BP神经网络收敛速度慢、学习效率低的缺陷,可以更快、更准确的对一些非线性问题进行研究。文章介绍了小波神经网络的结构、计算与预测的过程。将小波神经网络技术应用于某油田地面集输系统结垢程度的预测研究,其预测结果与实测值相当接近,取得了良好的效果。 |
| 关 键 词： | 小波神经网络 集输管道 结垢 预测 |
| 文章编号： | 1001-2206(2004)05-0010-03 |
| 修稿时间： | 2003年11月3日 |
Scale Prediction Research on Surface Gathering Pipeline Based on Wavelet Neural Network |
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| LI Na.Scale Prediction Research on Surface Gathering Pipeline Based on Wavelet Neural Network[J].Petroleum Engineering Construction,2004,30(5):10-12. | |
| Authors: | LI Na |
| Abstract: | The wavelet neural network is one kind of neural networks which closely combines the wavelet analysis with the neural network theory. It can solve the intrinsical limitation of the conventional BP neural network, such as the low convergence speed and learning rate, so as to study nonlinear problems much fast and more accurately. This paper introduces the structure, calculation and prediction process of the wavelet neural network. The wavelet neural network technique is applied to the scale prediction research on the surface gathering pipeline of one oilfield, and the results quite approximate the practical ones and show perfect effects. |
| Keywords: | wavelet neural network gathering pipeline scaling prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |