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Title: 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:
 [1];  [1];  [1];  [1]
  1. 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}
}