Simulation investigation on flow behavior of gob gas by applying a newly developed FE software
Abstract The fundamental understanding of migration characteristics of gob gas is essential for gas management to ensure safety and health during the longwall mining. Although many researches have been studying the gob gas flow and its control, the gob gas flow mechanisms are not well understood due...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Xia, Tong-qiang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag GmbH Germany 2017 |
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| Übergeordnetes Werk: |
Enthalten in: Environmental earth sciences - Berlin : Springer, 2009, 76(2017), 14 vom: 15. Juli |
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| Übergeordnetes Werk: |
volume:76 ; year:2017 ; number:14 ; day:15 ; month:07 |
| Links: |
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| DOI / URN: |
10.1007/s12665-017-6799-y |
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| Katalog-ID: |
SPR026733889 |
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| 520 | |a Abstract The fundamental understanding of migration characteristics of gob gas is essential for gas management to ensure safety and health during the longwall mining. Although many researches have been studying the gob gas flow and its control, the gob gas flow mechanisms are not well understood due to the lack of considering the in situ gob configuration and gas emission. Particularly, it is also pretty lack of convenient and practical software tools to characterize gob gas migration processes in longwall mining gobs. In this work, a coupled two-dimensional model, through fully considering dynamic porosity/permeability evolution, methane source emissions and gas flow during the continuous coalbed extraction, is proposed and implemented into a further-developed FE software. The FE model is validated by matching the in situ data well. Furthermore, it is applied to quantitatively evaluate the influence of longwall ventilation and mining parameters on the gas flow behavior of gob during the longwall mining. Simulation results show that the ventilation resistance and the longwall panel width parameters are positive correlation with the leakage flux and the return airway methane concentration; the larger the ventilation flux, the larger the leakage flux, but the smaller the methane concentration in the return airway; the higher advance rate corresponds to the higher methane concentration in the return airway, but it has a slight influence on the gob leakage. | ||
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| 650 | 4 | |a Longwall mining |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Porosity/permeability evolutions |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Numerical software |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Xu, Ming-jing |4 aut | |
| 700 | 1 | |a Wang, Yong-long |4 aut | |
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10.1007/s12665-017-6799-y doi (DE-627)SPR026733889 (SPR)s12665-017-6799-y-e DE-627 ger DE-627 rakwb eng Xia, Tong-qiang verfasserin aut Simulation investigation on flow behavior of gob gas by applying a newly developed FE software 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany 2017 Abstract The fundamental understanding of migration characteristics of gob gas is essential for gas management to ensure safety and health during the longwall mining. Although many researches have been studying the gob gas flow and its control, the gob gas flow mechanisms are not well understood due to the lack of considering the in situ gob configuration and gas emission. Particularly, it is also pretty lack of convenient and practical software tools to characterize gob gas migration processes in longwall mining gobs. In this work, a coupled two-dimensional model, through fully considering dynamic porosity/permeability evolution, methane source emissions and gas flow during the continuous coalbed extraction, is proposed and implemented into a further-developed FE software. The FE model is validated by matching the in situ data well. Furthermore, it is applied to quantitatively evaluate the influence of longwall ventilation and mining parameters on the gas flow behavior of gob during the longwall mining. Simulation results show that the ventilation resistance and the longwall panel width parameters are positive correlation with the leakage flux and the return airway methane concentration; the larger the ventilation flux, the larger the leakage flux, but the smaller the methane concentration in the return airway; the higher advance rate corresponds to the higher methane concentration in the return airway, but it has a slight influence on the gob leakage. Gob gas migration (dpeaa)DE-He213 Longwall mining (dpeaa)DE-He213 Porosity/permeability evolutions (dpeaa)DE-He213 Numerical software (dpeaa)DE-He213 Xu, Ming-jing aut Wang, Yong-long aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 76(2017), 14 vom: 15. Juli (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:76 year:2017 number:14 day:15 month:07 https://dx.doi.org/10.1007/s12665-017-6799-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 76 2017 14 15 07 |
| spelling |
10.1007/s12665-017-6799-y doi (DE-627)SPR026733889 (SPR)s12665-017-6799-y-e DE-627 ger DE-627 rakwb eng Xia, Tong-qiang verfasserin aut Simulation investigation on flow behavior of gob gas by applying a newly developed FE software 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany 2017 Abstract The fundamental understanding of migration characteristics of gob gas is essential for gas management to ensure safety and health during the longwall mining. Although many researches have been studying the gob gas flow and its control, the gob gas flow mechanisms are not well understood due to the lack of considering the in situ gob configuration and gas emission. Particularly, it is also pretty lack of convenient and practical software tools to characterize gob gas migration processes in longwall mining gobs. In this work, a coupled two-dimensional model, through fully considering dynamic porosity/permeability evolution, methane source emissions and gas flow during the continuous coalbed extraction, is proposed and implemented into a further-developed FE software. The FE model is validated by matching the in situ data well. Furthermore, it is applied to quantitatively evaluate the influence of longwall ventilation and mining parameters on the gas flow behavior of gob during the longwall mining. Simulation results show that the ventilation resistance and the longwall panel width parameters are positive correlation with the leakage flux and the return airway methane concentration; the larger the ventilation flux, the larger the leakage flux, but the smaller the methane concentration in the return airway; the higher advance rate corresponds to the higher methane concentration in the return airway, but it has a slight influence on the gob leakage. Gob gas migration (dpeaa)DE-He213 Longwall mining (dpeaa)DE-He213 Porosity/permeability evolutions (dpeaa)DE-He213 Numerical software (dpeaa)DE-He213 Xu, Ming-jing aut Wang, Yong-long aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 76(2017), 14 vom: 15. Juli (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:76 year:2017 number:14 day:15 month:07 https://dx.doi.org/10.1007/s12665-017-6799-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 76 2017 14 15 07 |
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10.1007/s12665-017-6799-y doi (DE-627)SPR026733889 (SPR)s12665-017-6799-y-e DE-627 ger DE-627 rakwb eng Xia, Tong-qiang verfasserin aut Simulation investigation on flow behavior of gob gas by applying a newly developed FE software 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany 2017 Abstract The fundamental understanding of migration characteristics of gob gas is essential for gas management to ensure safety and health during the longwall mining. Although many researches have been studying the gob gas flow and its control, the gob gas flow mechanisms are not well understood due to the lack of considering the in situ gob configuration and gas emission. Particularly, it is also pretty lack of convenient and practical software tools to characterize gob gas migration processes in longwall mining gobs. In this work, a coupled two-dimensional model, through fully considering dynamic porosity/permeability evolution, methane source emissions and gas flow during the continuous coalbed extraction, is proposed and implemented into a further-developed FE software. The FE model is validated by matching the in situ data well. Furthermore, it is applied to quantitatively evaluate the influence of longwall ventilation and mining parameters on the gas flow behavior of gob during the longwall mining. Simulation results show that the ventilation resistance and the longwall panel width parameters are positive correlation with the leakage flux and the return airway methane concentration; the larger the ventilation flux, the larger the leakage flux, but the smaller the methane concentration in the return airway; the higher advance rate corresponds to the higher methane concentration in the return airway, but it has a slight influence on the gob leakage. Gob gas migration (dpeaa)DE-He213 Longwall mining (dpeaa)DE-He213 Porosity/permeability evolutions (dpeaa)DE-He213 Numerical software (dpeaa)DE-He213 Xu, Ming-jing aut Wang, Yong-long aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 76(2017), 14 vom: 15. Juli (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:76 year:2017 number:14 day:15 month:07 https://dx.doi.org/10.1007/s12665-017-6799-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 76 2017 14 15 07 |
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10.1007/s12665-017-6799-y doi (DE-627)SPR026733889 (SPR)s12665-017-6799-y-e DE-627 ger DE-627 rakwb eng Xia, Tong-qiang verfasserin aut Simulation investigation on flow behavior of gob gas by applying a newly developed FE software 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany 2017 Abstract The fundamental understanding of migration characteristics of gob gas is essential for gas management to ensure safety and health during the longwall mining. Although many researches have been studying the gob gas flow and its control, the gob gas flow mechanisms are not well understood due to the lack of considering the in situ gob configuration and gas emission. Particularly, it is also pretty lack of convenient and practical software tools to characterize gob gas migration processes in longwall mining gobs. In this work, a coupled two-dimensional model, through fully considering dynamic porosity/permeability evolution, methane source emissions and gas flow during the continuous coalbed extraction, is proposed and implemented into a further-developed FE software. The FE model is validated by matching the in situ data well. Furthermore, it is applied to quantitatively evaluate the influence of longwall ventilation and mining parameters on the gas flow behavior of gob during the longwall mining. Simulation results show that the ventilation resistance and the longwall panel width parameters are positive correlation with the leakage flux and the return airway methane concentration; the larger the ventilation flux, the larger the leakage flux, but the smaller the methane concentration in the return airway; the higher advance rate corresponds to the higher methane concentration in the return airway, but it has a slight influence on the gob leakage. Gob gas migration (dpeaa)DE-He213 Longwall mining (dpeaa)DE-He213 Porosity/permeability evolutions (dpeaa)DE-He213 Numerical software (dpeaa)DE-He213 Xu, Ming-jing aut Wang, Yong-long aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 76(2017), 14 vom: 15. Juli (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:76 year:2017 number:14 day:15 month:07 https://dx.doi.org/10.1007/s12665-017-6799-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 76 2017 14 15 07 |
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10.1007/s12665-017-6799-y doi (DE-627)SPR026733889 (SPR)s12665-017-6799-y-e DE-627 ger DE-627 rakwb eng Xia, Tong-qiang verfasserin aut Simulation investigation on flow behavior of gob gas by applying a newly developed FE software 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany 2017 Abstract The fundamental understanding of migration characteristics of gob gas is essential for gas management to ensure safety and health during the longwall mining. Although many researches have been studying the gob gas flow and its control, the gob gas flow mechanisms are not well understood due to the lack of considering the in situ gob configuration and gas emission. Particularly, it is also pretty lack of convenient and practical software tools to characterize gob gas migration processes in longwall mining gobs. In this work, a coupled two-dimensional model, through fully considering dynamic porosity/permeability evolution, methane source emissions and gas flow during the continuous coalbed extraction, is proposed and implemented into a further-developed FE software. The FE model is validated by matching the in situ data well. Furthermore, it is applied to quantitatively evaluate the influence of longwall ventilation and mining parameters on the gas flow behavior of gob during the longwall mining. Simulation results show that the ventilation resistance and the longwall panel width parameters are positive correlation with the leakage flux and the return airway methane concentration; the larger the ventilation flux, the larger the leakage flux, but the smaller the methane concentration in the return airway; the higher advance rate corresponds to the higher methane concentration in the return airway, but it has a slight influence on the gob leakage. Gob gas migration (dpeaa)DE-He213 Longwall mining (dpeaa)DE-He213 Porosity/permeability evolutions (dpeaa)DE-He213 Numerical software (dpeaa)DE-He213 Xu, Ming-jing aut Wang, Yong-long aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 76(2017), 14 vom: 15. Juli (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:76 year:2017 number:14 day:15 month:07 https://dx.doi.org/10.1007/s12665-017-6799-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 76 2017 14 15 07 |
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Although many researches have been studying the gob gas flow and its control, the gob gas flow mechanisms are not well understood due to the lack of considering the in situ gob configuration and gas emission. Particularly, it is also pretty lack of convenient and practical software tools to characterize gob gas migration processes in longwall mining gobs. In this work, a coupled two-dimensional model, through fully considering dynamic porosity/permeability evolution, methane source emissions and gas flow during the continuous coalbed extraction, is proposed and implemented into a further-developed FE software. The FE model is validated by matching the in situ data well. Furthermore, it is applied to quantitatively evaluate the influence of longwall ventilation and mining parameters on the gas flow behavior of gob during the longwall mining. 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Xia, Tong-qiang |
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Xia, Tong-qiang misc Gob gas migration misc Longwall mining misc Porosity/permeability evolutions misc Numerical software Simulation investigation on flow behavior of gob gas by applying a newly developed FE software |
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Simulation investigation on flow behavior of gob gas by applying a newly developed FE software Gob gas migration (dpeaa)DE-He213 Longwall mining (dpeaa)DE-He213 Porosity/permeability evolutions (dpeaa)DE-He213 Numerical software (dpeaa)DE-He213 |
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simulation investigation on flow behavior of gob gas by applying a newly developed fe software |
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Simulation investigation on flow behavior of gob gas by applying a newly developed FE software |
| abstract |
Abstract The fundamental understanding of migration characteristics of gob gas is essential for gas management to ensure safety and health during the longwall mining. Although many researches have been studying the gob gas flow and its control, the gob gas flow mechanisms are not well understood due to the lack of considering the in situ gob configuration and gas emission. Particularly, it is also pretty lack of convenient and practical software tools to characterize gob gas migration processes in longwall mining gobs. In this work, a coupled two-dimensional model, through fully considering dynamic porosity/permeability evolution, methane source emissions and gas flow during the continuous coalbed extraction, is proposed and implemented into a further-developed FE software. The FE model is validated by matching the in situ data well. Furthermore, it is applied to quantitatively evaluate the influence of longwall ventilation and mining parameters on the gas flow behavior of gob during the longwall mining. Simulation results show that the ventilation resistance and the longwall panel width parameters are positive correlation with the leakage flux and the return airway methane concentration; the larger the ventilation flux, the larger the leakage flux, but the smaller the methane concentration in the return airway; the higher advance rate corresponds to the higher methane concentration in the return airway, but it has a slight influence on the gob leakage. © Springer-Verlag GmbH Germany 2017 |
| abstractGer |
Abstract The fundamental understanding of migration characteristics of gob gas is essential for gas management to ensure safety and health during the longwall mining. Although many researches have been studying the gob gas flow and its control, the gob gas flow mechanisms are not well understood due to the lack of considering the in situ gob configuration and gas emission. Particularly, it is also pretty lack of convenient and practical software tools to characterize gob gas migration processes in longwall mining gobs. In this work, a coupled two-dimensional model, through fully considering dynamic porosity/permeability evolution, methane source emissions and gas flow during the continuous coalbed extraction, is proposed and implemented into a further-developed FE software. The FE model is validated by matching the in situ data well. Furthermore, it is applied to quantitatively evaluate the influence of longwall ventilation and mining parameters on the gas flow behavior of gob during the longwall mining. Simulation results show that the ventilation resistance and the longwall panel width parameters are positive correlation with the leakage flux and the return airway methane concentration; the larger the ventilation flux, the larger the leakage flux, but the smaller the methane concentration in the return airway; the higher advance rate corresponds to the higher methane concentration in the return airway, but it has a slight influence on the gob leakage. © Springer-Verlag GmbH Germany 2017 |
| abstract_unstemmed |
Abstract The fundamental understanding of migration characteristics of gob gas is essential for gas management to ensure safety and health during the longwall mining. Although many researches have been studying the gob gas flow and its control, the gob gas flow mechanisms are not well understood due to the lack of considering the in situ gob configuration and gas emission. Particularly, it is also pretty lack of convenient and practical software tools to characterize gob gas migration processes in longwall mining gobs. In this work, a coupled two-dimensional model, through fully considering dynamic porosity/permeability evolution, methane source emissions and gas flow during the continuous coalbed extraction, is proposed and implemented into a further-developed FE software. The FE model is validated by matching the in situ data well. Furthermore, it is applied to quantitatively evaluate the influence of longwall ventilation and mining parameters on the gas flow behavior of gob during the longwall mining. Simulation results show that the ventilation resistance and the longwall panel width parameters are positive correlation with the leakage flux and the return airway methane concentration; the larger the ventilation flux, the larger the leakage flux, but the smaller the methane concentration in the return airway; the higher advance rate corresponds to the higher methane concentration in the return airway, but it has a slight influence on the gob leakage. © Springer-Verlag GmbH Germany 2017 |
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Simulation investigation on flow behavior of gob gas by applying a newly developed FE software |
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https://dx.doi.org/10.1007/s12665-017-6799-y |
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Xu, Ming-jing Wang, Yong-long |
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| doi_str |
10.1007/s12665-017-6799-y |
| up_date |
2024-07-03T22:27:40.902Z |
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| score |
7.3995953 |