| 稠油油藏储层动态测井评价方法 |
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| 引用本文： | 张玎,钟兴水,陈学义,张胜文. 稠油油藏储层动态测井评价方法[J]. 中国海上油气, 1998, 0(3) |
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| 作者姓名： | 张玎 钟兴水 陈学义 张胜文 |
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| 作者单位： | 江汉石油学院!湖北荆州434102(张玎，钟兴水)，辽河油田!辽宁盘锦124000(陈学义，张胜文) |
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| 摘 要： | 通过提取反映稠油油藏储层动态的特征参数,应用模糊模式识别方法对稠油储层类型进行划分,在比较原钻井及其侧钻井的水淹状况与测井响应关系的基础上,提出用电阻率减小率作为划分稠油储层水淹级别的标准,并应用人工神经网络技术实现了稠油储层水淹程度的动态测井解释.
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| 关 键 词： | 稠油油藏 储层动态 模糊模式识别 人工神经网络 测井评价 |
LOGGING INTERPRETATION METHOD FOR HEAVY OIL RESERVOIR PERFORMANCE |
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| Zhang Ding Zhong Xingshui Cheng Xueyi Zhang Shengwen. LOGGING INTERPRETATION METHOD FOR HEAVY OIL RESERVOIR PERFORMANCE[J]. China Offshore Oil and Gas, 1998, 0(3) |
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| Authors: | Zhang Ding Zhong Xingshui Cheng Xueyi Zhang Shengwen |
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| Abstract: | By drawing the characteristic parameters of the heavy oil reservoir, the types of reservoir are divided by fuzzy pattern recognition method. Based on comparing flooding situation and log responses of the orginal holes and side holes ,Rr(resitivity reducing rate)is proposed as the criterion for divided flooding level of the heavy oil reservoir and the dynamic logging interpretation for the flooding degree of the heavy oil reservoir is achiveed by ANN (artificial neural network). |
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| Keywords: | heavy oil reservior reservior performance fuzzy pattern recognition artificial neural network logging interpretation |
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