Igneous Rocks Recognition Based on Improved Fuzzy Neural Network

被引：0
|
作者：
Tang, Xiaoyan [1 ]
Liu, Zhidi [1 ]
机构：
[1] Xian Univ Sci & Technol, Coll Geol & Environm, Xian, Peoples R China
来源：
ADVANCED RESEARCH ON COMPUTER SCIENCE AND INFORMATION ENGINEERING | 2011年 / 153卷
关键词：
Igneous Rocks; Fuzzy; Improved Neural Network; Recognition;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The lithology recognition of igneous rock is the foundation of the lithofacies division, the reservoir synthetic evaluation, the well pattern deployment, and the development plan establishment. This paper selected the statistical model of logging-lithology, and established the model of recognizing igneous rock using improved fuzzy neural network method. This model recognized the igneous rock lithology in the research work area. The recognition result show that this method can accurately carry on the lithology recognition in this work area. It is compared with microscope analysis lithology. Results show that it is reliable. Recognition precision is high, and practicability is better.
引用
收藏
页码：338 / 342
页数：5
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