W14_greenhousegas Multi-scale Atmospheric Modeling of Green House Gas Dispersion in Complex Terrain: Controlled Release Study
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Abstract
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
- Authors:
-
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- OSTI Identifier:
- 1291180
- Report Number(s):
- LA-UR-16-25164
- DOE Contract Number:
- AC52-06NA25396
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Costigan, Keeley Rochelle, Sauer, Jeremy A., Travis, Bryan J., and Dubey, Manvendra Krishna. W14_greenhousegas Multi-scale Atmospheric Modeling of Green House Gas Dispersion in Complex Terrain: Controlled Release Study. United States: N. p., 2016.
Web. doi:10.2172/1291180.
Costigan, Keeley Rochelle, Sauer, Jeremy A., Travis, Bryan J., & Dubey, Manvendra Krishna. W14_greenhousegas Multi-scale Atmospheric Modeling of Green House Gas Dispersion in Complex Terrain: Controlled Release Study. United States. https://doi.org/10.2172/1291180
Costigan, Keeley Rochelle, Sauer, Jeremy A., Travis, Bryan J., and Dubey, Manvendra Krishna. 2016.
"W14_greenhousegas Multi-scale Atmospheric Modeling of Green House Gas Dispersion in Complex Terrain: Controlled Release Study". United States. https://doi.org/10.2172/1291180. https://www.osti.gov/servlets/purl/1291180.
@article{osti_1291180,
title = {W14_greenhousegas Multi-scale Atmospheric Modeling of Green House Gas Dispersion in Complex Terrain: Controlled Release Study},
author = {Costigan, Keeley Rochelle and Sauer, Jeremy A. and Travis, Bryan J. and Dubey, Manvendra Krishna},
abstractNote = {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},
doi = {10.2172/1291180},
url = {https://www.osti.gov/biblio/1291180},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jul 18 00:00:00 EDT 2016},
month = {Mon Jul 18 00:00:00 EDT 2016}
}
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