| 支持向量机在油田系统建模中的应用 |
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| 引用本文： | 李卓,柴滨景,胡继东. 支持向量机在油田系统建模中的应用[J]. 现代电子技术, 2007, 30(1): 162-164 |
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| 作者姓名： | 李卓 柴滨景 胡继东 |
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| 作者单位： | 1. 大庆石油学院,黑龙江,大庆,163318
2. 大庆炼化公司,黑龙江,大庆,163318 |
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| 摘 要： | 在以往油层含油判别分析的基础上提出了一种基于支持向量机的油藏建模方法，应用已知油层的原始资料作为已知信息，建立油气水层的识别模型，对某油区油气水层分布规律进行了解释。结果表明，采用支持向量机判断的油气分布规律与实际试油结果完全一致。同时，将支持向量机用于试井压力恢复曲线的拟和，拟和的最大相对误差为0．9623％.这表明将支持向量机算法用于油田系统建模是十分有效的。
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| 关 键 词： | 支持向量机 模式识别 非线性系统建模 油气分布规律 试井曲线拟和 |
| 文章编号： | 1004-373X（2007）01-162-03 |
| 收稿时间： | 2006-07-10 |
| 修稿时间： | 2006-07-10 |
A Novel Approach to Model in Oil Field Based on Support Vector Machine |
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| LI Zhuo,CHAI Binjing,HU Jidong. A Novel Approach to Model in Oil Field Based on Support Vector Machine[J]. Modern Electronic Technique, 2007, 30(1): 162-164 |
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| Authors: | LI Zhuo CHAI Binjing HU Jidong |
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| Affiliation: | 1.Daqing Petroleum Institute, Daqing, 163318, China;2. Daqing Refining Chemical Company, Daqing, 163318, China |
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| Abstract: | A new way of modeling in the oil field system based on the SVM is proposed in this paper,which is based on knowledge of oil-bearing characteristics.The novel method for recognizing oil/gas/water zone is applied to interpret the law of oil and gas distribution.Simulation shows the law of oil and gas distribution coincides with oil testing results.At the same time,SVM is also used to identify the well interpretation model.The most relative error of curve fitting is 0.9623%.These experiments show using SVM in oil field is proved to be effective. |
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| Keywords: | support vector machine pattern recognition nonlinear system modeling the law of oil and gas distribution curve fitting |
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