10.14489/td.2017.11.pp.046-050

2017, 11 November

DOI: 10.14489/td.2017.11.pp.046-050

Eminov R. A., Ismailov M. M.
QUESTIONS ON OPTIMUM SELECTION OF METHODS AND PARAMETERS OF INSTRUMENTS DESIGNATED FOR DETECTION OF NATURAL GAS LEAKS
(pp. 46-50)

Abstract. The questions on optimum selection of methods and parameters for identification of natural gas leaks have been analyzed. The classification table of main methods used for detection of natural gas leaks is developed. The comparison of advantages and shortages of existing methods is carried out. It is noted that produced in series optical fiber systems for diagnostics of gas pipeline are inertial systems because the time period for forming diagnostic information can reach 15 minutes. It is noted that lidar system containing laser and retroreflectors is the most relevant for diagnostics of gas pipeline. The multicriterial optimization of complex of laser systems of gas pipeline diagnostics utilizing set of emitters and reflectors of optical emission along the pipeline route is carried out. Results of such optimization make it possible to choose the optimum structure of diagnostic network. The variation optimization of laser system designated for natural gas leaks detection is carried out taking into consideration the effect of used narrow band filters. The carried out optimization allows to choose the most optimum wavelength upon which the contour of gas absorption line is most similar to found optimum contour of absorption line. The operational regime of gas detector upon which the maximum sensitivity of the instrument for methane is found. The quantitative assessment of increase of signal-noise ratio at the output of the instrument is given.

Keywords: gas leaks, pipeline, optimization, laser system, infrared emission.

+ - About the Authors Click to collapse

R. A. Eminov, М. М. Ismailov (Azerbaijan State University of Oil and Industry, Baku, Azerbaijan) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

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