摘要
为了提高储层分类评价效果,本文归纳总结了神经网络技术用于储层分类评价的方法,剖析了神经网络技术用于储层分类评价中存在的问题、提出了改进方法,最后展望了神经网络技术用于储层分类评价的发展趋势。
In order to improve the classification and evaluation effects of reservoirs, based on extensive literature research, the paper introduced the basic principles and properties of neural network technology, summarized the method that the neural network technology used in classification and evaluation of reservoir, Analyzed the existing problems that the neural network technology used in classifica- tion and evaluation of reservoir, proposed improved methods and prospected the development trend of the neural network technology used in classification and evaluation of reservoir.
出处
《陕西煤炭》
2013年第2期63-66,54,共5页
Shaanxi Coal
基金
陕西省教育厅科研计划项目资助(项目编号:11JK0781)
关键词
储层分类评价
神经网络技术
综述
展望
classification and evaluation of reservoir
neural network technology
review
prospect