神经网络技术在储层分类评价中的应用  

Application of neural network technology in classification and evaluation of reservoirs

作　　者：郑璇[1] 赵军龙[1] 许建涛[2] 张伟 李婷[1] 曹俊涛[1] 

机构地区：[1]西安石油大学地球科学与工程学院,陕西西安710065 [2]陕西省煤田地质局一九四队,陕西铜川727000 [3]东方地球物理公司海上勘探事业部仪器服务中心,天津大港300280

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)

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.

关 键 词：储层分类评价 神经网络技术 综述 展望 

分 类 号：P618.130.21[天文地球—矿床学]