| 神经网络数据挖掘工具用于剩余油分布研究 |
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| 引用本文： | 宋志军,潘志,胡海峰,马玉书.神经网络数据挖掘工具用于剩余油分布研究[J].中国石油大学学报(自然科学版),2003,27(1). |
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| 作者姓名： | 宋志军 潘志 胡海峰 马玉书 |
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| 作者单位： | 1. 石油大学人工智能研究中心,北京,102249
2. 大庆油田采油四厂,山东东营,257031 |
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| 摘 要： | 从地质学方法着手 ,根据油井和水井的动、静态地质数据 ,运用神经网络数据挖掘工具来预测油井中不同油层的含油饱和度。结果表明 ,采用该方法可为剩余油分布研究找到突破口 ,从而为三次加密调整井网提供了事实依据。
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| 关 键 词： | 剩余油分布 神经网络 数据挖掘 油田开发 数据库 |
Application of neural network data mining tool to researching remaining oil distribution |
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| SONG Zhi-jun,PAN Zhi,HU Hai-feng and MA Yu-shu. Artificial Intelligent Research Center in the University of Petroleum,China,Beijing.Application of neural network data mining tool to researching remaining oil distribution[J].Journal of China University of Petroleum,2003,27(1). |
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| Authors: | SONG Zhi-jun PAN Zhi HU Hai-feng and MA Yu-shu Artificial Intelligent Research Center in the University of Petroleum China Beijing |
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| Institution: | SONG Zhi-jun,PAN Zhi,HU Hai-feng and MA Yu-shu. Artificial Intelligent Research Center in the University of Petroleum,China,Beijing 102249 |
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| Abstract: | The oily saturation in different layers of oil well can be doped out by using neural, network arithmetic and the static parameters of oil wells, and the dynamic parameters of water well, as well as the geologic methodology. The experimental results proved the validity and the feasibility of a data-mining tool based on neural network. It may be used to find the breakthrough for researching remaining oil distribution. This method can provide the factual bases for the third adjustment of the oil well network. |
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| Keywords: | remaining oil distribution neural network geological data oilfield development database |
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