石油学报 ›› 1994, Vol. 15 ›› Issue (4): 17-22.DOI: 10.7623/syxb199404003

• 地质勘探 • 上一篇    下一篇

应用瓦尔什变换和人工神经网络划分岩层和岩性识别

姜效典, 李巍然   

  1. 青岛海洋大学
  • 收稿日期:1993-07-19 修回日期:1994-04-12 出版日期:1994-12-25 发布日期:2013-07-08
  • 作者简介:姜效典,女,1961年4月生.1988年毕业于青岛海洋大学.现任青岛海洋大学地质系副教授.通讯处:青岛市鱼山路5号.邮政编码:266003

THE APPLICATIONS OF WALSH TRANSFORM AND ARTIFICIAL NEURAL NETWORK TO IDENTIFY THE ROCK STRATUM AND LITHOLOGY AUTOMATICALLY

Jiang Xiaodian, Li Weiran   

  1. Ocean University Qingdao, Shandong Province
  • Received:1993-07-19 Revised:1994-04-12 Online:1994-12-25 Published:2013-07-08

摘要: 介绍一种自动分析测井相,确定钻井剖面地层岩性的系统新方法.用瓦尔什变换自动划分岩层界面;用人工神经网络实现岩层的岩性识别.通过实际资料的处理解释,取得了与钻井地质剖面相吻合的结果.

关键词: 测井, 岩相分析, [瓦尔什变换], 人工智能

Abstract: This paper presents a new method for an automatic analysis of logging facies todete-mine the lithologies of the beds penetrated in a well.Walsh transform is used for automatic i-dentify the layer and artificial neural network for lithology.A satisfactory consistency with the geologic section has been obtained by processing of actual field data.

Key words: well log, lithology analysis, [Walsh transform], artificial intelligence