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Title: The detection of carbon dioxide leaks using quasi-tomographic laser absorption spectroscopy measurements in variable wind

Abstract

Abstract. Laser absorption spectroscopy (LAS) has been used over the last several decades for the measurement of trace gasses in the atmosphere. For over a decade, LAS measurements from multiple sources and tens of retroreflectors have been combined with sparse-sample tomography methods to estimate the 2-D distribution of trace gas concentrations and underlying fluxes from point-like sources. In this work, we consider the ability of such a system to detect and estimate the position and rate of a single point leak which may arise as a failure mode for carbon dioxide storage. The leak is assumed to be at a constant rate giving rise to a plume with a concentration and distribution that depend on the wind velocity. We demonstrate the ability of our approach to detect a leak using numerical simulation and also present a preliminary measurement.

Authors:
; ; ; ; ; ; ORCiD logo
Publication Date:
Research Org.:
Excelis, Inc., Dranesville, VA (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1247209
Alternate Identifier(s):
OSTI ID: 1258749
Grant/Contract Number:  
FE00012574; FE0012574
Resource Type:
Published Article
Journal Name:
Atmospheric Measurement Techniques (Online)
Additional Journal Information:
Journal Name: Atmospheric Measurement Techniques (Online) Journal Volume: 9 Journal Issue: 4; Journal ID: ISSN 1867-8548
Publisher:
Copernicus Publications, EGU
Country of Publication:
Germany
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Levine, Zachary H., Pintar, Adam L., Dobler, Jeremy T., Blume, Nathan, Braun, Michael, Zaccheo, T. Scott, and Pernini, Timothy G. The detection of carbon dioxide leaks using quasi-tomographic laser absorption spectroscopy measurements in variable wind. Germany: N. p., 2016. Web. doi:10.5194/amt-9-1627-2016.
Levine, Zachary H., Pintar, Adam L., Dobler, Jeremy T., Blume, Nathan, Braun, Michael, Zaccheo, T. Scott, & Pernini, Timothy G. The detection of carbon dioxide leaks using quasi-tomographic laser absorption spectroscopy measurements in variable wind. Germany. https://doi.org/10.5194/amt-9-1627-2016
Levine, Zachary H., Pintar, Adam L., Dobler, Jeremy T., Blume, Nathan, Braun, Michael, Zaccheo, T. Scott, and Pernini, Timothy G. Wed . "The detection of carbon dioxide leaks using quasi-tomographic laser absorption spectroscopy measurements in variable wind". Germany. https://doi.org/10.5194/amt-9-1627-2016.
@article{osti_1247209,
title = {The detection of carbon dioxide leaks using quasi-tomographic laser absorption spectroscopy measurements in variable wind},
author = {Levine, Zachary H. and Pintar, Adam L. and Dobler, Jeremy T. and Blume, Nathan and Braun, Michael and Zaccheo, T. Scott and Pernini, Timothy G.},
abstractNote = {Abstract. Laser absorption spectroscopy (LAS) has been used over the last several decades for the measurement of trace gasses in the atmosphere. For over a decade, LAS measurements from multiple sources and tens of retroreflectors have been combined with sparse-sample tomography methods to estimate the 2-D distribution of trace gas concentrations and underlying fluxes from point-like sources. In this work, we consider the ability of such a system to detect and estimate the position and rate of a single point leak which may arise as a failure mode for carbon dioxide storage. The leak is assumed to be at a constant rate giving rise to a plume with a concentration and distribution that depend on the wind velocity. We demonstrate the ability of our approach to detect a leak using numerical simulation and also present a preliminary measurement.},
doi = {10.5194/amt-9-1627-2016},
journal = {Atmospheric Measurement Techniques (Online)},
number = 4,
volume = 9,
place = {Germany},
year = {Wed Apr 13 00:00:00 EDT 2016},
month = {Wed Apr 13 00:00:00 EDT 2016}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.5194/amt-9-1627-2016

Citation Metrics:
Cited by: 4 works
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