| 利用自组织特征映射网络自动识别油气层 |
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| 引用本文： | 姜亮,傅强.利用自组织特征映射网络自动识别油气层[J].地质科技情报,2000,19(2):95-98. |
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| 作者姓名： | 姜亮 傅强 |
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| 作者单位： | 1. 中国海洋石油东海公司,上海,200036
2. 同济大学教育部海洋地质重点实验室,上海,200092 |
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| 摘 要： | 针对储层中流体不易判别、测试结果与测井解释结果吻合率低的特点；在测井曲线上提取反映储层中流体特征的参数，采用自组织特征映射神经网络，对东海西湖凹陷Ｈｙ构造上的两口井（Ｈｙ７－１－１，Ｈｙ１４－１－１）进行了油气层的识别，通过检测吻合率达到８９．６５％，证实该网络是一种有效的油气层识别方法。
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| 关 键 词： | 自组织神经网络 油气层 自动识别 油气勘探 |
AUTOMATICAL IDENTIFICATION OF OIL AND GAS IN RESERVOIR USING SELF-ORGANIZING MAP NETWORK |
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| Jiang Liang,Fu Qiang.AUTOMATICAL IDENTIFICATION OF OIL AND GAS IN RESERVOIR USING SELF-ORGANIZING MAP NETWORK[J].Geological Science and Technology Information,2000,19(2):95-98. |
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| Authors: | Jiang Liang Fu Qiang |
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| Abstract: | The liquid types in reservoir are difficult to distinguish on the logging,and the coincidence of testing and explaining result by well logging data is generally lower To solve this problem,the automatical identification and predication system of self-organizing map network is set up with well logging data in this paper The oil and gas of two wells in East ChinaSea offshore are identified The coincidence rate of the known samples reaches 89 65 percent The network is proved to be an effective method to identify oil and gas |
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| Keywords: | network oil and gas reservoir identification and predication |
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