| 遗传神经网络模式识别在储层成岩储集相研究中的应用 |
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| 引用本文： | 张明亮,王金鹏,陈建文,杨冬梅. 遗传神经网络模式识别在储层成岩储集相研究中的应用[J]. 内蒙古石油化工, 2009, 0(12): 126-129 |
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| 作者姓名： | 张明亮 王金鹏 陈建文 杨冬梅 |
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| 作者单位： | [1]中石化国际石油勘探开发有限公司 [2]中石油吉林油田勘探开发研究院 |
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| 摘 要： | 应用遗传神经网络模式识别方法,以吉林油田扶新隆起北坡扶余油层（泉四段）为例,进行储层成岩储集相研究。选取储层孔隙度（Ф）、渗透率（K）、泥质含量（Vsh）流动层带指标（FZI）等参数,建立遗传神经网络的学习样本及预测模型,共识别出四种类型成岩储集相：不稳定组分溶解次生孔隙成岩储集相（A相）、中等压实-弱-中胶结混合孔隙成岩储集相（B相）、强压实中等胶结残余粒间孔成岩储集相（C相）、极强压实-强胶结微孔隙成岩储集相（D相）,A相为最有利的成岩储集相。
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| 关 键 词： | 遗传神经网络 成岩储集相 扶余油层 |
Application of Genetic Artificial Neural Network in Diagenetic Reservoir Facies Study |
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| ZHANG Ming-liang,WANG Jin-peng,CHEN Jian-wen,YANG Dong-mei. Application of Genetic Artificial Neural Network in Diagenetic Reservoir Facies Study[J]. Inner Mongulia Petrochemical Industry, 2009, 0(12): 126-129 |
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| Authors: | ZHANG Ming-liang WANG Jin-peng CHEN Jian-wen YANG Dong-mei |
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| Affiliation: | ZHANG Ming-liang1,WANG Jin-peng1,CHEN Jian-wen2,YANG Dong-mei2 |
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| Abstract: | Taking Fuyu oil-bearing layer of the north slope of Fuxin dome in Jilin Oilfield as an example,the pattern recognition based on genetic artificial neural network is used to study the diagenetic reservoir facies.Porosity,permeability,shale content and flow zone index are chosen to set up learning and predicting models of genetic artificial neural network.There are four diagenetic reservoir facies that are recognized: A-secondary pore diagenetic reservoir facies resulted from unstable components dissolution,B... |
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| Keywords: | Genetic artificial neural network Diagenetic reservoir facies Fuyu oil-bearing layer |
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