| 基于遗传算法的人工神经网络在油水层识别中的应用 |
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| 引用本文： | 吴晓伟,史有刚,王顺华. 基于遗传算法的人工神经网络在油水层识别中的应用[J]. 内蒙古石油化工, 2004, 30(1): 160-162 |
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| 作者姓名： | 吴晓伟 史有刚 王顺华 |
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| 作者单位： | 1. 胜利油田临盘采油厂,山东,临邑
2. 胜利油田石油开发中心,山东,东营 |
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| 摘 要： | 油水层识别是测井二次解释的重要内容。基于遗传算法的人工神经网络方法具有自学、自适应和抗干扰等特点，能有效地区分油水层。实际应用表明，其误判率远低于传统方法。
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| 关 键 词： | 遗传算法 人工神经网络 油水层 测井解释 水层 工程技术 计算机 |
Application of Artificial Neural Network Based on Genetic Algorithms in Oil and Water Bed Identification |
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| Wu Xiaowe,Shi Yougang,Wang Shunhua. Application of Artificial Neural Network Based on Genetic Algorithms in Oil and Water Bed Identification[J]. Inner Mongulia Petrochemical Industry, 2004, 30(1): 160-162 |
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| Authors: | Wu Xiaowe Shi Yougang Wang Shunhua |
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| Abstract: | Oil and water bed identification is main content of second interpretation of log data.The method of artificial neural network based on genetic algorithms has some characteristic,including self-study,self- adaptation and anti-jamming etc.It can distinguish oil bearing reservoirs from water bearing reservoirs efficaciously.The practice has indicated the failure rate is lower than that of traditional method. |
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| Keywords: | well log interpretation artificial neural network genetic algorithms oil and water bed |
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