论文详情
人工神经网络技术在储层描述中的应用
石油实验地质
1999年 21卷 第2期
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Title
APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO RESERVOIR DESCRIPTION
Authors
QIU Liwei
KANG Zhijiang
单位
中国新星石油公司规划研究院, 北京 100083
Organization
Institute of petroleum, CNSPC, Beijing 100083, China
摘要
建立在经验公式和线性假设基础上的常规测井解释方法其精度和成功率都较低。人工神经网络技术具有自适应、自学习的功能,其在测井解释研究中具有良好的应用前景。本文以实例说明了神经网络技术在测井孔隙度解释中所取得的成果。
Abstract
The normal logging explaination methods based on experience formulas and the linear hypothesis show lower accuracy and successful rate.The artificial neural networks technique can adapt itself,learn itself.It has well prospect in logging explaination.This paper provides a case to illustrate the advantage of the artificial neural network technique in logging porosity explaination.
关键词：
人工神经网络;
BP网络;
测井解释;
孔隙度;
Keywords:
artificial neural networks;
BP nets;
logging explaination;
porosity;
DOI
https://doi.org/10.11781/sysydz199902166
论文详情