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| SOFM储层综合评价方法及其在延吉盆地的应用 | |
| 引用本文： | 郄瑞卿,薛林福,王满,王丽华.SOFM储层综合评价方法及其在延吉盆地的应用[J].吉林大学学报(地球科学版),2009,39(1). |
| 作者姓名： | 郄瑞卿 薛林福 王满 王丽华 |
| 作者单位： | 1. 吉林大学,地球科学学院,长春,130061;吉林农业大学,土地管理系,长春,130118 2. 吉林大学,地球科学学院,长春,130061 3. 吉林大学,地球探测科学与技术学院,长春,130026 |
| 基金项目： | 国家油气重大专项基金 |
| 摘 要： | 通过对已有储层评价方法优势与不足的分析,提出在空间数据库基础上应用自组织特征映射神经网络进行油气储层评价,并对延吉盆地大砬子组储层进行了评价.评价结果显示:Ⅰ级储集层主要发育于朝阳川凹陷中央-延D4井西缘、呈椭圆状分布,朝阳川凹陷西缘即延D6、延3之间呈月牙状分布;Ⅱ级储集层区块较大,分布集中在朝阳川凹陷周缘及帽儿山凸起,在清茶馆凹陷的东缘、南缘和德新凹陷的北缘呈不规则分布;Ⅲ级主要发育于朝阳川凹陷中央-朝阳川镇南部,清茶馆凹陷东缘,呈条带、小块状零星分布,德新凹陷大部呈不规则分布;Ⅳ级主要发育于西部隆起区、练花洞单斜一带,在茶清馆凹陷中央也有零星分布;其它地区是储层物性发育较差的Ⅴ级. |
| 关 键 词： | 自组织特征映射神经网络 储层 延吉盆地 |
Self-Organizing Feature Map(SOFM) Neural Network Method in Reservoir Quality Synthetic Evaluation and Its Application in Yanji Basin |
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| QIE Rui-qing,XUE Lin-fu,WANG Man,WANG Li-hua.Self-Organizing Feature Map(SOFM) Neural Network Method in Reservoir Quality Synthetic Evaluation and Its Application in Yanji Basin[J].Journal of Jilin Unviersity:Earth Science Edition,2009,39(1). | |
| Authors: | QIE Rui-qing XUE Lin-fu WANG Man WANG Li-hua |
| Institution: | QIE Rui-qing1,2,XUE Lin-fu1,WANG Man1,WANG Li-hua31.College of Earth Sciences,Jilin University,Changchun 130061,China2.Department of L, Resource Management,Jilin Agricultural University,Changchun 130118,China3.College of GeoExploration Science , Technology,Changchun 130026,China |
| Abstract: | Beginning with analyzing advantage and disadvantage of the existing methods used in the reservoir quality synthetic evaluation,the authors put forward to applying SOFM(self-organizing feature map) neural network method to be used in the oil reservoir quality synthetic evaluation on spatial database and have appraised the Dalazi group reservoir of the Yanji basin using the method proposed.The results indicate that the first category reservoirs were mainly developed in the Chaoyangchuan central-depression and... |
| Keywords: | self-organizing feature map neural network reservoir Yanji basin |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |