Gas Flow Behavior of Nanoscale Pores in Shale Gas Reservoirs

The gas transport in shale nanopores is always one of the major concerns in terms of the development of shale gas reservoirs. In this study, the gas flow regimes in shale nanopores were classified and analyzed according to Knudsen number. Then the gas flow model considering Darcy flow, slip flow, tr...
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Autor*in:	Weijun Shen [verfasserIn] Xizhe Li [verfasserIn] Yanmei Xu [verfasserIn] Yuping Sun [verfasserIn] Weigang Huang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	shale gas reservoirs nanoscale pores Knudsen number mathematical model flow behavior

Übergeordnetes Werk:	In: Energies - MDPI AG, 2008, 10(2017), 6, p 751
Übergeordnetes Werk:	volume:10 ; year:2017 ; number:6, p 751

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/en10060751

Katalog-ID:	DOAJ079368999

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allfields	10.3390/en10060751 doi (DE-627)DOAJ079368999 (DE-599)DOAJa8f0e4d816aa4962bd7ef203d5d0e505 DE-627 ger DE-627 rakwb eng Weijun Shen verfasserin aut Gas Flow Behavior of Nanoscale Pores in Shale Gas Reservoirs 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The gas transport in shale nanopores is always one of the major concerns in terms of the development of shale gas reservoirs. In this study, the gas flow regimes in shale nanopores were classified and analyzed according to Knudsen number. Then the gas flow model considering Darcy flow, slip flow, transition flow, molecular free flow and adsorption effect was proposed to evaluate the gas flow behavior in shale nanopores. The result shows that the contributions of Darcy flow, slip flow and transition flow in shale nanopores are reciprocal, and are mainly dominated by pore radius and pressure. The adsorption effect greatly influences the total mass flux. The total mass flux will increase as Langmuir pressure and temperature increase while it will decrease with reservoir pressure and the adsorption thickness. These results can provide insights for a better understanding of gas flow in the shale nanopores so as to optimize the production performance of shale gas reservoirs. shale gas reservoirs nanoscale pores Knudsen number mathematical model flow behavior Technology T Xizhe Li verfasserin aut Yanmei Xu verfasserin aut Yuping Sun verfasserin aut Weigang Huang verfasserin aut In Energies MDPI AG, 2008 10(2017), 6, p 751 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:10 year:2017 number:6, p 751 https://doi.org/10.3390/en10060751 kostenfrei https://doaj.org/article/a8f0e4d816aa4962bd7ef203d5d0e505 kostenfrei http://www.mdpi.com/1996-1073/10/6/751 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2017 6, p 751
spelling	10.3390/en10060751 doi (DE-627)DOAJ079368999 (DE-599)DOAJa8f0e4d816aa4962bd7ef203d5d0e505 DE-627 ger DE-627 rakwb eng Weijun Shen verfasserin aut Gas Flow Behavior of Nanoscale Pores in Shale Gas Reservoirs 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The gas transport in shale nanopores is always one of the major concerns in terms of the development of shale gas reservoirs. In this study, the gas flow regimes in shale nanopores were classified and analyzed according to Knudsen number. Then the gas flow model considering Darcy flow, slip flow, transition flow, molecular free flow and adsorption effect was proposed to evaluate the gas flow behavior in shale nanopores. The result shows that the contributions of Darcy flow, slip flow and transition flow in shale nanopores are reciprocal, and are mainly dominated by pore radius and pressure. The adsorption effect greatly influences the total mass flux. The total mass flux will increase as Langmuir pressure and temperature increase while it will decrease with reservoir pressure and the adsorption thickness. These results can provide insights for a better understanding of gas flow in the shale nanopores so as to optimize the production performance of shale gas reservoirs. shale gas reservoirs nanoscale pores Knudsen number mathematical model flow behavior Technology T Xizhe Li verfasserin aut Yanmei Xu verfasserin aut Yuping Sun verfasserin aut Weigang Huang verfasserin aut In Energies MDPI AG, 2008 10(2017), 6, p 751 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:10 year:2017 number:6, p 751 https://doi.org/10.3390/en10060751 kostenfrei https://doaj.org/article/a8f0e4d816aa4962bd7ef203d5d0e505 kostenfrei http://www.mdpi.com/1996-1073/10/6/751 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2017 6, p 751
allfields_unstemmed	10.3390/en10060751 doi (DE-627)DOAJ079368999 (DE-599)DOAJa8f0e4d816aa4962bd7ef203d5d0e505 DE-627 ger DE-627 rakwb eng Weijun Shen verfasserin aut Gas Flow Behavior of Nanoscale Pores in Shale Gas Reservoirs 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The gas transport in shale nanopores is always one of the major concerns in terms of the development of shale gas reservoirs. In this study, the gas flow regimes in shale nanopores were classified and analyzed according to Knudsen number. Then the gas flow model considering Darcy flow, slip flow, transition flow, molecular free flow and adsorption effect was proposed to evaluate the gas flow behavior in shale nanopores. The result shows that the contributions of Darcy flow, slip flow and transition flow in shale nanopores are reciprocal, and are mainly dominated by pore radius and pressure. The adsorption effect greatly influences the total mass flux. The total mass flux will increase as Langmuir pressure and temperature increase while it will decrease with reservoir pressure and the adsorption thickness. These results can provide insights for a better understanding of gas flow in the shale nanopores so as to optimize the production performance of shale gas reservoirs. shale gas reservoirs nanoscale pores Knudsen number mathematical model flow behavior Technology T Xizhe Li verfasserin aut Yanmei Xu verfasserin aut Yuping Sun verfasserin aut Weigang Huang verfasserin aut In Energies MDPI AG, 2008 10(2017), 6, p 751 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:10 year:2017 number:6, p 751 https://doi.org/10.3390/en10060751 kostenfrei https://doaj.org/article/a8f0e4d816aa4962bd7ef203d5d0e505 kostenfrei http://www.mdpi.com/1996-1073/10/6/751 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2017 6, p 751
allfieldsGer	10.3390/en10060751 doi (DE-627)DOAJ079368999 (DE-599)DOAJa8f0e4d816aa4962bd7ef203d5d0e505 DE-627 ger DE-627 rakwb eng Weijun Shen verfasserin aut Gas Flow Behavior of Nanoscale Pores in Shale Gas Reservoirs 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The gas transport in shale nanopores is always one of the major concerns in terms of the development of shale gas reservoirs. In this study, the gas flow regimes in shale nanopores were classified and analyzed according to Knudsen number. Then the gas flow model considering Darcy flow, slip flow, transition flow, molecular free flow and adsorption effect was proposed to evaluate the gas flow behavior in shale nanopores. The result shows that the contributions of Darcy flow, slip flow and transition flow in shale nanopores are reciprocal, and are mainly dominated by pore radius and pressure. The adsorption effect greatly influences the total mass flux. The total mass flux will increase as Langmuir pressure and temperature increase while it will decrease with reservoir pressure and the adsorption thickness. These results can provide insights for a better understanding of gas flow in the shale nanopores so as to optimize the production performance of shale gas reservoirs. shale gas reservoirs nanoscale pores Knudsen number mathematical model flow behavior Technology T Xizhe Li verfasserin aut Yanmei Xu verfasserin aut Yuping Sun verfasserin aut Weigang Huang verfasserin aut In Energies MDPI AG, 2008 10(2017), 6, p 751 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:10 year:2017 number:6, p 751 https://doi.org/10.3390/en10060751 kostenfrei https://doaj.org/article/a8f0e4d816aa4962bd7ef203d5d0e505 kostenfrei http://www.mdpi.com/1996-1073/10/6/751 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2017 6, p 751
allfieldsSound	10.3390/en10060751 doi (DE-627)DOAJ079368999 (DE-599)DOAJa8f0e4d816aa4962bd7ef203d5d0e505 DE-627 ger DE-627 rakwb eng Weijun Shen verfasserin aut Gas Flow Behavior of Nanoscale Pores in Shale Gas Reservoirs 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The gas transport in shale nanopores is always one of the major concerns in terms of the development of shale gas reservoirs. In this study, the gas flow regimes in shale nanopores were classified and analyzed according to Knudsen number. Then the gas flow model considering Darcy flow, slip flow, transition flow, molecular free flow and adsorption effect was proposed to evaluate the gas flow behavior in shale nanopores. The result shows that the contributions of Darcy flow, slip flow and transition flow in shale nanopores are reciprocal, and are mainly dominated by pore radius and pressure. The adsorption effect greatly influences the total mass flux. The total mass flux will increase as Langmuir pressure and temperature increase while it will decrease with reservoir pressure and the adsorption thickness. These results can provide insights for a better understanding of gas flow in the shale nanopores so as to optimize the production performance of shale gas reservoirs. shale gas reservoirs nanoscale pores Knudsen number mathematical model flow behavior Technology T Xizhe Li verfasserin aut Yanmei Xu verfasserin aut Yuping Sun verfasserin aut Weigang Huang verfasserin aut In Energies MDPI AG, 2008 10(2017), 6, p 751 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:10 year:2017 number:6, p 751 https://doi.org/10.3390/en10060751 kostenfrei https://doaj.org/article/a8f0e4d816aa4962bd7ef203d5d0e505 kostenfrei http://www.mdpi.com/1996-1073/10/6/751 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2017 6, p 751
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authorswithroles_txt_mv	Weijun Shen @@aut@@ Xizhe Li @@aut@@ Yanmei Xu @@aut@@ Yuping Sun @@aut@@ Weigang Huang @@aut@@
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author	Weijun Shen
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topic_title	Gas Flow Behavior of Nanoscale Pores in Shale Gas Reservoirs shale gas reservoirs nanoscale pores Knudsen number mathematical model flow behavior
topic	misc shale gas reservoirs misc nanoscale pores misc Knudsen number misc mathematical model misc flow behavior misc Technology misc T
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title	Gas Flow Behavior of Nanoscale Pores in Shale Gas Reservoirs
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title_sort	gas flow behavior of nanoscale pores in shale gas reservoirs
title_auth	Gas Flow Behavior of Nanoscale Pores in Shale Gas Reservoirs
abstract	The gas transport in shale nanopores is always one of the major concerns in terms of the development of shale gas reservoirs. In this study, the gas flow regimes in shale nanopores were classified and analyzed according to Knudsen number. Then the gas flow model considering Darcy flow, slip flow, transition flow, molecular free flow and adsorption effect was proposed to evaluate the gas flow behavior in shale nanopores. The result shows that the contributions of Darcy flow, slip flow and transition flow in shale nanopores are reciprocal, and are mainly dominated by pore radius and pressure. The adsorption effect greatly influences the total mass flux. The total mass flux will increase as Langmuir pressure and temperature increase while it will decrease with reservoir pressure and the adsorption thickness. These results can provide insights for a better understanding of gas flow in the shale nanopores so as to optimize the production performance of shale gas reservoirs.
abstractGer	The gas transport in shale nanopores is always one of the major concerns in terms of the development of shale gas reservoirs. In this study, the gas flow regimes in shale nanopores were classified and analyzed according to Knudsen number. Then the gas flow model considering Darcy flow, slip flow, transition flow, molecular free flow and adsorption effect was proposed to evaluate the gas flow behavior in shale nanopores. The result shows that the contributions of Darcy flow, slip flow and transition flow in shale nanopores are reciprocal, and are mainly dominated by pore radius and pressure. The adsorption effect greatly influences the total mass flux. The total mass flux will increase as Langmuir pressure and temperature increase while it will decrease with reservoir pressure and the adsorption thickness. These results can provide insights for a better understanding of gas flow in the shale nanopores so as to optimize the production performance of shale gas reservoirs.
abstract_unstemmed	The gas transport in shale nanopores is always one of the major concerns in terms of the development of shale gas reservoirs. In this study, the gas flow regimes in shale nanopores were classified and analyzed according to Knudsen number. Then the gas flow model considering Darcy flow, slip flow, transition flow, molecular free flow and adsorption effect was proposed to evaluate the gas flow behavior in shale nanopores. The result shows that the contributions of Darcy flow, slip flow and transition flow in shale nanopores are reciprocal, and are mainly dominated by pore radius and pressure. The adsorption effect greatly influences the total mass flux. The total mass flux will increase as Langmuir pressure and temperature increase while it will decrease with reservoir pressure and the adsorption thickness. These results can provide insights for a better understanding of gas flow in the shale nanopores so as to optimize the production performance of shale gas reservoirs.
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title_short	Gas Flow Behavior of Nanoscale Pores in Shale Gas Reservoirs
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Gas Flow Behavior of Nanoscale Pores in Shale Gas Reservoirs

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