物探化探计算技术2009，Vol.31Issue(6)：611-616,6.
神经网络方法识别测井曲线形态
Logging curve shape identification using self-organization neural network
张冰 1潘保芝 1王英伟 1张平2
作者信息
- 1. 吉林大学,地球探测科学与技术学院,吉林,长春,130026
- 2. 中国石油勘探开发研究院,西北分院,甘肃,兰州,730020
- 折叠
摘要
Abstract
With the deep exploration and development of oilfield, sedimentary facies analysis is needed in order to find more favorable hydrocarbon accumulation zone, or to increase productivity. The paper introduces a method to identify the log curve shape using self-organization neural network. In this method, the curve is firstly gridded, then the curve shape is identified using the self-organization neural network, and the sedimentary facies could be identified finally. This method can be used to identify the log curve shape and remove some uncertain factors from log data. In this paper, the identification of the actual curve is basically accurate by using the method.关键词
自组织神经网络/曲线形态/模式识别/沉积相Key words
self-organization neural network/curve shape/pattern recognizing/sedimentary facies分类
信息技术与安全科学引用本文复制引用
张冰,潘保芝,王英伟,张平..神经网络方法识别测井曲线形态[J].物探化探计算技术,2009,31(6):611-616,6.
