Editorial office of ACTA PETROLEI SINICA ›› 1994, Vol. 15 ›› Issue (4): 17-22.DOI: 10.7623/syxb199404003

• Petroleum Exploration • Previous Articles     Next Articles

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

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
  • 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

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

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