Advanced Search
Volume 16 Issue 3
. 
Turn off MathJax
Article Contents
Article Navigation >  Acta Sedimentologica Sinica  > 1998  >  16(3): 156-160

Deng Yinsheng, Zhang Hongsheng, Xu Jianguo, Ge Yun. The Deduction of Sedimentary Environments Using Grey Cluster Analysis[J]. Acta Sedimentologica Sinica, 1998, 16(3): 156-160.
Citation: Deng Yinsheng, Zhang Hongsheng, Xu Jianguo, Ge Yun. The Deduction of Sedimentary Environments Using Grey Cluster Analysis[J]. Acta Sedimentologica Sinica, 1998, 16(3): 156-160.
shu

The Deduction of Sedimentary Environments Using Grey Cluster Analysis

  • 1.

    Jiaozuo Institute of Technology, Jiaozuo Henan 454000;

  • 2.

    Jiaozuo University, Jiaozuo Henan 454000

  • Received Date: 1997-10-27
  • Rev Recd Date: 1998-03-10
  • Publish Date: 1998-12-10
  • When sedimentary environment of corresponding rocks are determined by well logging data, there is of ten a puzzle about their environmental sense because all log-curves are not typical and full of geological information concerning sedimentary envionments. The authors consider that the essence of the inadequate information is the basic mevning of the term "grey" in grey system theory, and propose that an analysis method of cluster of grey comprehensive relationship be applied to deduce sedimentary environments. This method is applied to discriminate S2 sandstone environment in Shanxi Group, situated the Liao City explorating district of Yanggu-Ciping coalfield in Shandong province, with a better result gotten. At the same time, grey comprehensive relationship degree regarded as cluster index has been discussed in this paper
  • [1] .邓聚龙. 灰色预测与决策. 武汉: 华中工学院出版社, 1986. 125～134
    [2] .山东省地矿局第二地质队.山东省阳谷——茌平煤田聊城煤矿区普查地质报告(附件二), 1990. 17～38
    [3] .赵鹏大, 胡旺亮, 李紫全等. 矿床统计预测. 北京: 地质出版社, 1983. 142～161
    [4] .刘思峰. 灰色系统理论及其应用. 河南开封: 河南大学出版社, 1991. 49～143
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索
Get Citation
PDF
XML

Article Metrics

Article views(398) PDF downloads(408) Cited by()

Proportional views
Related
Publishing history
  • Received:  1997-10-27
  • Revised:  1998-03-10
  • Published:  1998-12-10

The Deduction of Sedimentary Environments Using Grey Cluster Analysis

  • 1. Jiaozuo Institute of Technology, Jiaozuo Henan 454000;
  • 2. Jiaozuo University, Jiaozuo Henan 454000
  • Received Date: 1997-10-27
  • Rev Recd Date: 1998-03-10
  • Publish Date: 1998-12-10

Abstract: When sedimentary environment of corresponding rocks are determined by well logging data, there is of ten a puzzle about their environmental sense because all log-curves are not typical and full of geological information concerning sedimentary envionments. The authors consider that the essence of the inadequate information is the basic mevning of the term "grey" in grey system theory, and propose that an analysis method of cluster of grey comprehensive relationship be applied to deduce sedimentary environments. This method is applied to discriminate S2 sandstone environment in Shanxi Group, situated the Liao City explorating district of Yanggu-Ciping coalfield in Shandong province, with a better result gotten. At the same time, grey comprehensive relationship degree regarded as cluster index has been discussed in this paper

Deng Yinsheng, Zhang Hongsheng, Xu Jianguo, Ge Yun. The Deduction of Sedimentary Environments Using Grey Cluster Analysis[J]. Acta Sedimentologica Sinica, 1998, 16(3): 156-160.
Citation: Deng Yinsheng, Zhang Hongsheng, Xu Jianguo, Ge Yun. The Deduction of Sedimentary Environments Using Grey Cluster Analysis[J]. Acta Sedimentologica Sinica, 1998, 16(3): 156-160.
shu

    HTML

Reference (4)

Catalog

    Links

    Journal Online

    Contact Us

    • Website Copyright © 2011 Editorial Office of Acta Sedimentologica Sinica
    • Address: 8 Tianshui Middle Road, Lanzhou
    • Post code: 730000   Tel:（0931）8264231
    • 陇ICP备2021001824号-28
    • 甘公网安备 62010202000673号
    Wechat

    Email alert

    RSS

    Supported by: Beijing Renhe Information Technology Co. Ltd  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return