[1]侯克均,赵军,朱达江,等.基于最大熵原理的气水层灰色识别模型[J].测井技术,2010,34(01):22-26.
 HOU Kejun,ZHAO Jun,ZHU Dajiang,et al.A Gray Recognition Model for Gaswater Layer Based on Maximum Entropy Theory[J].WELL LOGGING TECHNOLOGY,2010,34(01):22-26.
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基于最大熵原理的气水层灰色识别模型()
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《测井技术》[ISSN:1004-1338/CN:61-1223/TE]

卷:
第34卷
期数:
2010年01期
页码:
22-26
栏目:
方法研究
出版日期:
2010-02-28

文章信息/Info

Title:
A Gray Recognition Model for Gaswater Layer Based on Maximum Entropy Theory
作者:
侯克均;赵军;朱达江;蒋佳玉;胡红敏;
西南石油大学石油工程学院;西南石油大学资源与环境学院;
Author(s):
HOU Kejun1ZHAO Jun2ZHU Dajiang1JIANG Jiayu2HU Hongmin2
1.School of Petroleum Engineering,Southwest Petroleum University,Chengdu,Sichuan 610500,China;2.School ofResources and Environment,Southwest Petroleum University,Chengdu,Sichuan 610500,China
关键词:
测井解释最大熵原理灰色关联度差异度气水层
分类号:
P631.84
摘要:
延长油田低孔隙度低渗透率储层气水层测井响应特征不明显,采用常规的测井流体性质识别方法不易区分气水层。在灰色识别方法的基础上,引入最大信息熵理论,消除了不确定性对流体性质识别的影响。该方法克服了因测试层不多、样本数较少而在某些识别方法如模糊识别、神经网络等造成分辨率低的问题,为小样本的流体识别提供了新途径。通过对延长地区实际资料的应用表明,该方法的判别效果好,判别精度高,且方法简便,适合于测试层数少的油田新区流体性质识别。

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更新日期/Last Update: 2010-02-20