Gas extraction method based on hydrocarbon isotope and CS-BP neural network model

The invention discloses a gas extraction method based on hydrocarbon isotopes and a CS-BP neural network model, relates to the technical field of coal mine safety gas control, and solves the technical problem that gas emission source analysis in the prior art cannot accurately and quantitatively ana...

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Hauptverfasser: CUI SHAOPENG, LI WENPU, ZHANG GENG, WANG JUN, HUANGFU ZHENJIE, BIAN DEZHEN, ZHANG XIAODONG, HU SHAOPENG, CHEN XIANHUI, SUN YONGKANG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a gas extraction method based on hydrocarbon isotopes and a CS-BP neural network model, relates to the technical field of coal mine safety gas control, and solves the technical problem that gas emission source analysis in the prior art cannot accurately and quantitatively analyze emission amounts of different sources. According to the method, the emission amounts of different emission sources of the gas are determined by combining the predicted value of the gas emission amount of the stope face with the proportions of different sources of the gas of the working face analyzed by using a hydrocarbon isotope method, so that a decision basis is provided for intelligent gas extraction of coal mine enterprises; the relation between intelligent gas extraction and the gas emission source and the emission amount is inseparable, and automatic adjustment and accurate control of gas extraction equipment are achieved by conducting fine monitoring and mathematical model calculation on the gas emissi