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 |
DOI | 10.1080/08123985.2019.1603078 |
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 |
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。
修改评论