Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.2172/1291180 |
报告编号 | LA-UR--16-25164 |
来源ID | OSTI ID: 1291180 |
W14_greenhousegas Multi-scale Atmospheric Modeling of Green House Gas Dispersion in Complex Terrain: Controlled Release Study | |
Costigan, Keeley Rochelle; Sauer, Jeremy A.; Travis, Bryan J.; Dubey, Manvendra Krishna | |
2016-07-18 | |
出版年 | 2016 |
页数 | 4 |
语种 | 英语 |
国家 | 美国 |
领域 | 地球科学 |
英文摘要 | This slide deals with the following: Affordable artificial neural network and mini-sensor system to locate and quantify methane leaks on a well pad; ARPA-e project schematic for monitoring methane leaks |
URL | 查看原文 |
来源平台 | US Department of Energy (DOE) |
引用统计 | |
文献类型 | 科技报告 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/7423 |
专题 | 地球科学 |
推荐引用方式 GB/T 7714 | Costigan, Keeley Rochelle,Sauer, Jeremy A.,Travis, Bryan J.,et al. W14_greenhousegas Multi-scale Atmospheric Modeling of Green House Gas Dispersion in Complex Terrain: Controlled Release Study,2016. |
条目包含的文件 | 条目无相关文件。 |
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