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Gas leaks detection using passive thermal infrared hyperspectral imaging

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
There are many types of natural gas fields including shale formations which are common especially in the St-Lawrence Valley (Canada). Since methane (CH4), the major component of shale gas, is odorless, colorless and highly flammable, in addition of being a greenhouse gas, methane emanations and/or leaks are important to consider for both safety and environmental reasons. On this regard, passive remote sensing represents an interesting approach since it allows characterization of large areas from a safe location. In order to illustrate the potential of passive thermal infrared hyperspectral imaging for research on natural gas, imaging was carried out on a shale gas leak that unexpectedly happened during a geological survey near Hospital Enfant-Jesus (Québec City, Canada) in December 2016. Quantitative methane imaging was carried out based on its unique infrared spectral signature. The results show how this novel technique could be used for advanced research on shale gases.
Słowa kluczowe
Wydawca
Rocznik
Strony
65--68
Opis fizyczny
Bibliogr. 8 poz., rys., wykr., wzory
Twórcy
autor
  • Telpos Inc., 100-2600 Saint-Jean Baptiste Ave., Québec, Qc, Canada
autor
  • Telpos Inc., 100-2600 Saint-Jean Baptiste Ave., Québec, Qc, Canada
autor
  • Telpos Inc., 100-2600 Saint-Jean Baptiste Ave., Québec, Qc, Canada
  • Telpos Inc., 100-2600 Saint-Jean Baptiste Ave., Québec, Qc, Canada
autor
  • Telpos Inc., 100-2600 Saint-Jean Baptiste Ave., Québec, Qc, Canada
autor
  • Military University of Technology (MUT), 2 Gen. Sylwestra Kaliskiego St., 00-908 Warsaw, Poland
autor
  • Military University of Technology (MUT), 2 Gen. Sylwestra Kaliskiego St., 00-908 Warsaw, Poland
Bibliografia
  • [1] Moritz A., Hélie J.-F., et al.: Methane baseline concentrations and sources in shallow aquifers from the shale gas-prone region of the St. Lawrence lowlands. Environ Sci Technol, 44, pp. 4765-4771, 2015.
  • [2] Lashof D. A. and Ahuja D. R.: Relative Contributions of Greenhouse Gas Emissions to Global Warming. Nature, 344, pp. 529-531, 1990.
  • [3] Tremblay P., Savary S., et al.: Standoff gas identification and quantification from turbulent stack plumes with an imaging Fourier-transform spectrometer. Proc. SPIE, 7673, pp. 76730H2-12, 2010.
  • [4] Gålfalk M., Olofsson G., et al.: Making methane visible. Nature Climate Change, 2877, pp. 1-5, 2015.
  • [5] Kastek M., Piątkowski T., Dulski R., Chamberland M., Lagueux P., Farley V.: Hyperspectral Imaging Infrared Sensor Used for Chemical Agent Detection and Identification. Sym. on Phot. and Opto. SOPO 2012, art. no. 6270545 (2012).
  • [6] Coleman T. F. and Li Y.: An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds. Cornell University, Ithaca, TR93-1342, 1993.
  • [7] Farley V., Chamberland M., Lagueux P., Vallières A., Villemaire A., Giroux J.: Chemical agent detection and identification with a hyperspectral imaging infrared sensor. Proc. of SPIE, 6661, 66610L, (2007).
  • [8] Kastek M., Piątkowski T., Trzaskawka P.: Infrared imaging Fourier transform spectrometer as the stand–off gas detection systems, Metrology and Measurement Systems, Vol. XVIII, No. 4, pp. 607-620, (2011).
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5e91ee32-6038-4323-bc3c-81ef4834c0cf
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