CORC  > 山东大学
Reservoir characterisation method with multi-component seismic data by unsupervised learning and colour feature blending
Zhang, Kai; Lin, Niantian; Fu, Chao; Zhang, Dong; Jin, Xing; Zhang, Chong
刊名EXPLORATION GEOPHYSICS
2019
卷号50期号:3页码:269-280
关键词Unsupervised learning cluster analysis multi-component composite attributes colour blending seismic reservoir prediction
DOI10.1080/08123985.2019.1603078
URL标识查看原文
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4531252
专题山东大学
作者单位Shandong Univ Sci & Technol, Coll Earth Sci & Engn, Shandong Prov Key Lab Deposit Mineralizat & Sedim, Qingd
推荐引用方式
GB/T 7714
Zhang, Kai,Lin, Niantian,Fu, Chao,et al. Reservoir characterisation method with multi-component seismic data by unsupervised learning and colour feature blending[J]. EXPLORATION GEOPHYSICS,2019,50(3):269-280.
APA Zhang, Kai,Lin, Niantian,Fu, Chao,Zhang, Dong,Jin, Xing,&Zhang, Chong.(2019).Reservoir characterisation method with multi-component seismic data by unsupervised learning and colour feature blending.EXPLORATION GEOPHYSICS,50(3),269-280.
MLA Zhang, Kai,et al."Reservoir characterisation method with multi-component seismic data by unsupervised learning and colour feature blending".EXPLORATION GEOPHYSICS 50.3(2019):269-280.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace