An empirical approach for predicting slug to pseudo-slug transition of air/water upward two-phase flow
Abstract Pseudo-slug (PSL) flow is an intermittent flow that has short, frothy, and chaotic slugs, which are not fully formed and have a structure velocity that falls between the conventional slug translational velocity and the wave celerity. It is important to predict the transition from convention...
Ausführliche Beschreibung
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| Autor*in: |
Abdul-Majeed, Ghassan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Anmerkung: |
© Tsinghua University Press 2023 |
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| Übergeordnetes Werk: |
Enthalten in: Experimental and computational multiphase flow - [Singapore] : Springer Singapore, 2019, 6(2024), 2 vom: 08. Jan., Seite 154-169 |
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| Übergeordnetes Werk: |
volume:6 ; year:2024 ; number:2 ; day:08 ; month:01 ; pages:154-169 |
| Links: |
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| DOI / URN: |
10.1007/s42757-023-0170-1 |
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| Katalog-ID: |
SPR054313732 |
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| 100 | 1 | |a Abdul-Majeed, Ghassan |e verfasserin |4 aut | |
| 245 | 1 | 3 | |a An empirical approach for predicting slug to pseudo-slug transition of air/water upward two-phase flow |
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| 520 | |a Abstract Pseudo-slug (PSL) flow is an intermittent flow that has short, frothy, and chaotic slugs, which are not fully formed and have a structure velocity that falls between the conventional slug translational velocity and the wave celerity. It is important to predict the transition from conventional slug (SL) flow to PSL to determine the pressure gradients and liquid holdups. Literatures revealed that PSL can comprise a significant portion of the conventional flow pattern map, especially in highly deviated large-diameter (D) wellbores and pipelines. Several studies investigated the behavior of PSL; however, certain models were developed to predict SL/PSL transition. In the present study, an empirical model is derived employing the modified gas and liquid Froude numbers in measured dataset of Zhu (2019). The dataset consists of 125 data points, covering inclination angle (θ) from 2° to 89.4° with D of 0.1016 m. The range of superficial gas velocity is 0.124–3.313 m/s, with a constant liquid superficial velocity of 0.05 m/s. The suggested model accurately predicts all the data points and captures the expected effects of θ, D, and the gas density on the SL/PSL transition. The proposed model predicted well when validated against several independent experimental studies. | ||
| 650 | 4 | |a churn flow |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a flow pattern transition |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a pseudo-slug (PSL) |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a slug (SL) flow |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Al-Sarkhi, Abdelsalam |4 aut | |
| 700 | 1 | |a Mohmmed, Abdalellah O. |4 aut | |
| 700 | 1 | |a Hamoudi, Maha R. |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Experimental and computational multiphase flow |d [Singapore] : Springer Singapore, 2019 |g 6(2024), 2 vom: 08. Jan., Seite 154-169 |w (DE-627)1663535302 |w (DE-600)2970193-4 |x 2661-8877 |7 nnns |
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10.1007/s42757-023-0170-1 doi (DE-627)SPR054313732 (SPR)s42757-023-0170-1-e DE-627 ger DE-627 rakwb eng Abdul-Majeed, Ghassan verfasserin aut An empirical approach for predicting slug to pseudo-slug transition of air/water upward two-phase flow 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2023 Abstract Pseudo-slug (PSL) flow is an intermittent flow that has short, frothy, and chaotic slugs, which are not fully formed and have a structure velocity that falls between the conventional slug translational velocity and the wave celerity. It is important to predict the transition from conventional slug (SL) flow to PSL to determine the pressure gradients and liquid holdups. Literatures revealed that PSL can comprise a significant portion of the conventional flow pattern map, especially in highly deviated large-diameter (D) wellbores and pipelines. Several studies investigated the behavior of PSL; however, certain models were developed to predict SL/PSL transition. In the present study, an empirical model is derived employing the modified gas and liquid Froude numbers in measured dataset of Zhu (2019). The dataset consists of 125 data points, covering inclination angle (θ) from 2° to 89.4° with D of 0.1016 m. The range of superficial gas velocity is 0.124–3.313 m/s, with a constant liquid superficial velocity of 0.05 m/s. The suggested model accurately predicts all the data points and captures the expected effects of θ, D, and the gas density on the SL/PSL transition. The proposed model predicted well when validated against several independent experimental studies. churn flow (dpeaa)DE-He213 flow pattern transition (dpeaa)DE-He213 pseudo-slug (PSL) (dpeaa)DE-He213 slug (SL) flow (dpeaa)DE-He213 Al-Sarkhi, Abdelsalam aut Mohmmed, Abdalellah O. aut Hamoudi, Maha R. aut Enthalten in Experimental and computational multiphase flow [Singapore] : Springer Singapore, 2019 6(2024), 2 vom: 08. Jan., Seite 154-169 (DE-627)1663535302 (DE-600)2970193-4 2661-8877 nnns volume:6 year:2024 number:2 day:08 month:01 pages:154-169 https://dx.doi.org/10.1007/s42757-023-0170-1 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_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_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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2024 2 08 01 154-169 |
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10.1007/s42757-023-0170-1 doi (DE-627)SPR054313732 (SPR)s42757-023-0170-1-e DE-627 ger DE-627 rakwb eng Abdul-Majeed, Ghassan verfasserin aut An empirical approach for predicting slug to pseudo-slug transition of air/water upward two-phase flow 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2023 Abstract Pseudo-slug (PSL) flow is an intermittent flow that has short, frothy, and chaotic slugs, which are not fully formed and have a structure velocity that falls between the conventional slug translational velocity and the wave celerity. It is important to predict the transition from conventional slug (SL) flow to PSL to determine the pressure gradients and liquid holdups. Literatures revealed that PSL can comprise a significant portion of the conventional flow pattern map, especially in highly deviated large-diameter (D) wellbores and pipelines. Several studies investigated the behavior of PSL; however, certain models were developed to predict SL/PSL transition. In the present study, an empirical model is derived employing the modified gas and liquid Froude numbers in measured dataset of Zhu (2019). The dataset consists of 125 data points, covering inclination angle (θ) from 2° to 89.4° with D of 0.1016 m. The range of superficial gas velocity is 0.124–3.313 m/s, with a constant liquid superficial velocity of 0.05 m/s. The suggested model accurately predicts all the data points and captures the expected effects of θ, D, and the gas density on the SL/PSL transition. The proposed model predicted well when validated against several independent experimental studies. churn flow (dpeaa)DE-He213 flow pattern transition (dpeaa)DE-He213 pseudo-slug (PSL) (dpeaa)DE-He213 slug (SL) flow (dpeaa)DE-He213 Al-Sarkhi, Abdelsalam aut Mohmmed, Abdalellah O. aut Hamoudi, Maha R. aut Enthalten in Experimental and computational multiphase flow [Singapore] : Springer Singapore, 2019 6(2024), 2 vom: 08. Jan., Seite 154-169 (DE-627)1663535302 (DE-600)2970193-4 2661-8877 nnns volume:6 year:2024 number:2 day:08 month:01 pages:154-169 https://dx.doi.org/10.1007/s42757-023-0170-1 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_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_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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2024 2 08 01 154-169 |
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10.1007/s42757-023-0170-1 doi (DE-627)SPR054313732 (SPR)s42757-023-0170-1-e DE-627 ger DE-627 rakwb eng Abdul-Majeed, Ghassan verfasserin aut An empirical approach for predicting slug to pseudo-slug transition of air/water upward two-phase flow 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2023 Abstract Pseudo-slug (PSL) flow is an intermittent flow that has short, frothy, and chaotic slugs, which are not fully formed and have a structure velocity that falls between the conventional slug translational velocity and the wave celerity. It is important to predict the transition from conventional slug (SL) flow to PSL to determine the pressure gradients and liquid holdups. Literatures revealed that PSL can comprise a significant portion of the conventional flow pattern map, especially in highly deviated large-diameter (D) wellbores and pipelines. Several studies investigated the behavior of PSL; however, certain models were developed to predict SL/PSL transition. In the present study, an empirical model is derived employing the modified gas and liquid Froude numbers in measured dataset of Zhu (2019). The dataset consists of 125 data points, covering inclination angle (θ) from 2° to 89.4° with D of 0.1016 m. The range of superficial gas velocity is 0.124–3.313 m/s, with a constant liquid superficial velocity of 0.05 m/s. The suggested model accurately predicts all the data points and captures the expected effects of θ, D, and the gas density on the SL/PSL transition. The proposed model predicted well when validated against several independent experimental studies. churn flow (dpeaa)DE-He213 flow pattern transition (dpeaa)DE-He213 pseudo-slug (PSL) (dpeaa)DE-He213 slug (SL) flow (dpeaa)DE-He213 Al-Sarkhi, Abdelsalam aut Mohmmed, Abdalellah O. aut Hamoudi, Maha R. aut Enthalten in Experimental and computational multiphase flow [Singapore] : Springer Singapore, 2019 6(2024), 2 vom: 08. Jan., Seite 154-169 (DE-627)1663535302 (DE-600)2970193-4 2661-8877 nnns volume:6 year:2024 number:2 day:08 month:01 pages:154-169 https://dx.doi.org/10.1007/s42757-023-0170-1 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_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_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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2024 2 08 01 154-169 |
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10.1007/s42757-023-0170-1 doi (DE-627)SPR054313732 (SPR)s42757-023-0170-1-e DE-627 ger DE-627 rakwb eng Abdul-Majeed, Ghassan verfasserin aut An empirical approach for predicting slug to pseudo-slug transition of air/water upward two-phase flow 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2023 Abstract Pseudo-slug (PSL) flow is an intermittent flow that has short, frothy, and chaotic slugs, which are not fully formed and have a structure velocity that falls between the conventional slug translational velocity and the wave celerity. It is important to predict the transition from conventional slug (SL) flow to PSL to determine the pressure gradients and liquid holdups. Literatures revealed that PSL can comprise a significant portion of the conventional flow pattern map, especially in highly deviated large-diameter (D) wellbores and pipelines. Several studies investigated the behavior of PSL; however, certain models were developed to predict SL/PSL transition. In the present study, an empirical model is derived employing the modified gas and liquid Froude numbers in measured dataset of Zhu (2019). The dataset consists of 125 data points, covering inclination angle (θ) from 2° to 89.4° with D of 0.1016 m. The range of superficial gas velocity is 0.124–3.313 m/s, with a constant liquid superficial velocity of 0.05 m/s. The suggested model accurately predicts all the data points and captures the expected effects of θ, D, and the gas density on the SL/PSL transition. The proposed model predicted well when validated against several independent experimental studies. churn flow (dpeaa)DE-He213 flow pattern transition (dpeaa)DE-He213 pseudo-slug (PSL) (dpeaa)DE-He213 slug (SL) flow (dpeaa)DE-He213 Al-Sarkhi, Abdelsalam aut Mohmmed, Abdalellah O. aut Hamoudi, Maha R. aut Enthalten in Experimental and computational multiphase flow [Singapore] : Springer Singapore, 2019 6(2024), 2 vom: 08. Jan., Seite 154-169 (DE-627)1663535302 (DE-600)2970193-4 2661-8877 nnns volume:6 year:2024 number:2 day:08 month:01 pages:154-169 https://dx.doi.org/10.1007/s42757-023-0170-1 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_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_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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2024 2 08 01 154-169 |
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10.1007/s42757-023-0170-1 doi (DE-627)SPR054313732 (SPR)s42757-023-0170-1-e DE-627 ger DE-627 rakwb eng Abdul-Majeed, Ghassan verfasserin aut An empirical approach for predicting slug to pseudo-slug transition of air/water upward two-phase flow 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2023 Abstract Pseudo-slug (PSL) flow is an intermittent flow that has short, frothy, and chaotic slugs, which are not fully formed and have a structure velocity that falls between the conventional slug translational velocity and the wave celerity. It is important to predict the transition from conventional slug (SL) flow to PSL to determine the pressure gradients and liquid holdups. Literatures revealed that PSL can comprise a significant portion of the conventional flow pattern map, especially in highly deviated large-diameter (D) wellbores and pipelines. Several studies investigated the behavior of PSL; however, certain models were developed to predict SL/PSL transition. In the present study, an empirical model is derived employing the modified gas and liquid Froude numbers in measured dataset of Zhu (2019). The dataset consists of 125 data points, covering inclination angle (θ) from 2° to 89.4° with D of 0.1016 m. The range of superficial gas velocity is 0.124–3.313 m/s, with a constant liquid superficial velocity of 0.05 m/s. The suggested model accurately predicts all the data points and captures the expected effects of θ, D, and the gas density on the SL/PSL transition. The proposed model predicted well when validated against several independent experimental studies. churn flow (dpeaa)DE-He213 flow pattern transition (dpeaa)DE-He213 pseudo-slug (PSL) (dpeaa)DE-He213 slug (SL) flow (dpeaa)DE-He213 Al-Sarkhi, Abdelsalam aut Mohmmed, Abdalellah O. aut Hamoudi, Maha R. aut Enthalten in Experimental and computational multiphase flow [Singapore] : Springer Singapore, 2019 6(2024), 2 vom: 08. Jan., Seite 154-169 (DE-627)1663535302 (DE-600)2970193-4 2661-8877 nnns volume:6 year:2024 number:2 day:08 month:01 pages:154-169 https://dx.doi.org/10.1007/s42757-023-0170-1 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_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_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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 6 2024 2 08 01 154-169 |
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Abdul-Majeed, Ghassan @@aut@@ Al-Sarkhi, Abdelsalam @@aut@@ Mohmmed, Abdalellah O. @@aut@@ Hamoudi, Maha R. @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR054313732</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240109064703.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240109s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s42757-023-0170-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR054313732</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s42757-023-0170-1-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Abdul-Majeed, Ghassan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="3"><subfield code="a">An empirical approach for predicting slug to pseudo-slug transition of air/water upward two-phase flow</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Tsinghua University Press 2023</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Pseudo-slug (PSL) flow is an intermittent flow that has short, frothy, and chaotic slugs, which are not fully formed and have a structure velocity that falls between the conventional slug translational velocity and the wave celerity. It is important to predict the transition from conventional slug (SL) flow to PSL to determine the pressure gradients and liquid holdups. Literatures revealed that PSL can comprise a significant portion of the conventional flow pattern map, especially in highly deviated large-diameter (D) wellbores and pipelines. Several studies investigated the behavior of PSL; however, certain models were developed to predict SL/PSL transition. In the present study, an empirical model is derived employing the modified gas and liquid Froude numbers in measured dataset of Zhu (2019). The dataset consists of 125 data points, covering inclination angle (θ) from 2° to 89.4° with D of 0.1016 m. The range of superficial gas velocity is 0.124–3.313 m/s, with a constant liquid superficial velocity of 0.05 m/s. The suggested model accurately predicts all the data points and captures the expected effects of θ, D, and the gas density on the SL/PSL transition. 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Abdul-Majeed, Ghassan |
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An empirical approach for predicting slug to pseudo-slug transition of air/water upward two-phase flow churn flow (dpeaa)DE-He213 flow pattern transition (dpeaa)DE-He213 pseudo-slug (PSL) (dpeaa)DE-He213 slug (SL) flow (dpeaa)DE-He213 |
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empirical approach for predicting slug to pseudo-slug transition of air/water upward two-phase flow |
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An empirical approach for predicting slug to pseudo-slug transition of air/water upward two-phase flow |
| abstract |
Abstract Pseudo-slug (PSL) flow is an intermittent flow that has short, frothy, and chaotic slugs, which are not fully formed and have a structure velocity that falls between the conventional slug translational velocity and the wave celerity. It is important to predict the transition from conventional slug (SL) flow to PSL to determine the pressure gradients and liquid holdups. Literatures revealed that PSL can comprise a significant portion of the conventional flow pattern map, especially in highly deviated large-diameter (D) wellbores and pipelines. Several studies investigated the behavior of PSL; however, certain models were developed to predict SL/PSL transition. In the present study, an empirical model is derived employing the modified gas and liquid Froude numbers in measured dataset of Zhu (2019). The dataset consists of 125 data points, covering inclination angle (θ) from 2° to 89.4° with D of 0.1016 m. The range of superficial gas velocity is 0.124–3.313 m/s, with a constant liquid superficial velocity of 0.05 m/s. The suggested model accurately predicts all the data points and captures the expected effects of θ, D, and the gas density on the SL/PSL transition. The proposed model predicted well when validated against several independent experimental studies. © Tsinghua University Press 2023 |
| abstractGer |
Abstract Pseudo-slug (PSL) flow is an intermittent flow that has short, frothy, and chaotic slugs, which are not fully formed and have a structure velocity that falls between the conventional slug translational velocity and the wave celerity. It is important to predict the transition from conventional slug (SL) flow to PSL to determine the pressure gradients and liquid holdups. Literatures revealed that PSL can comprise a significant portion of the conventional flow pattern map, especially in highly deviated large-diameter (D) wellbores and pipelines. Several studies investigated the behavior of PSL; however, certain models were developed to predict SL/PSL transition. In the present study, an empirical model is derived employing the modified gas and liquid Froude numbers in measured dataset of Zhu (2019). The dataset consists of 125 data points, covering inclination angle (θ) from 2° to 89.4° with D of 0.1016 m. The range of superficial gas velocity is 0.124–3.313 m/s, with a constant liquid superficial velocity of 0.05 m/s. The suggested model accurately predicts all the data points and captures the expected effects of θ, D, and the gas density on the SL/PSL transition. The proposed model predicted well when validated against several independent experimental studies. © Tsinghua University Press 2023 |
| abstract_unstemmed |
Abstract Pseudo-slug (PSL) flow is an intermittent flow that has short, frothy, and chaotic slugs, which are not fully formed and have a structure velocity that falls between the conventional slug translational velocity and the wave celerity. It is important to predict the transition from conventional slug (SL) flow to PSL to determine the pressure gradients and liquid holdups. Literatures revealed that PSL can comprise a significant portion of the conventional flow pattern map, especially in highly deviated large-diameter (D) wellbores and pipelines. Several studies investigated the behavior of PSL; however, certain models were developed to predict SL/PSL transition. In the present study, an empirical model is derived employing the modified gas and liquid Froude numbers in measured dataset of Zhu (2019). The dataset consists of 125 data points, covering inclination angle (θ) from 2° to 89.4° with D of 0.1016 m. The range of superficial gas velocity is 0.124–3.313 m/s, with a constant liquid superficial velocity of 0.05 m/s. The suggested model accurately predicts all the data points and captures the expected effects of θ, D, and the gas density on the SL/PSL transition. The proposed model predicted well when validated against several independent experimental studies. © Tsinghua University Press 2023 |
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An empirical approach for predicting slug to pseudo-slug transition of air/water upward two-phase flow |
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https://dx.doi.org/10.1007/s42757-023-0170-1 |
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Al-Sarkhi, Abdelsalam Mohmmed, Abdalellah O. Hamoudi, Maha R. |
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Al-Sarkhi, Abdelsalam Mohmmed, Abdalellah O. Hamoudi, Maha R. |
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| doi_str |
10.1007/s42757-023-0170-1 |
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2024-07-04T01:01:12.362Z |
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| score |
7.400687 |