Flow Path Selection During Capillary Rise in Rock: Effects of Pore Branching and Pore Radius Variation

Abstract New and existing results of capillary rise experiments on five sandstones and a limestone differing in pore radius distribution were analyzed. Fitting of Lucas–Washburn equation (square of capillary rise height is linearly correlated with time and effective pore radius) showed that the effe...
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Autor*in:	Yokoyama, Tadashi [verfasserIn] Yorimoto, Masashi [verfasserIn] Nishiyama, Naoki [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Capillary rise Meniscus Pore radius distribution Sandstone

Übergeordnetes Werk:	Enthalten in: Transport in porous media - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1986, 135(2020), 1 vom: 15. Sept., Seite 79-99
Übergeordnetes Werk:	volume:135 ; year:2020 ; number:1 ; day:15 ; month:09 ; pages:79-99

Links:	Volltext

DOI / URN:	10.1007/s11242-020-01470-5

Katalog-ID:	SPR041073894

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520			\|a Abstract New and existing results of capillary rise experiments on five sandstones and a limestone differing in pore radius distribution were analyzed. Fitting of Lucas–Washburn equation (square of capillary rise height is linearly correlated with time and effective pore radius) showed that the effective pore radius notably smaller than the realistic pore radii in the rock needs to be used to reproduce the measured capillary rise rate. We interpreted the result using a capillary rise model in which the effect of pore branching is combined with a conventional pore radius variation model. The model is outlined as follows: (1) select three representative pore radii from measured pore radius distribution, (2) evaluate the direction at which water proceeds at the branch point of narrow pore and wide pore, (3) calculate an effective pore radius in consideration of the variation of flow path radius. The most important step is the selection of representative pore radii, the way was unknown in our previous research in which the concept of the model was first introduced. We analyzed pore radius distributions of six rocks and derived clear selection criteria of three pore radii that are commonly applicable to the rocks. The model calculations show that the majority of experimental data are explained by the advance of water toward narrow pore at the branch point and that the effective pore radius determined experimentally is successfully predicted by the model. The model is now available for predicting the rate of capillary rise of water in various porous media.
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700	1		\|a Yorimoto, Masashi \|e verfasserin \|4 aut
700	1		\|a Nishiyama, Naoki \|e verfasserin \|4 aut
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matchkey_str	article:15731634:2020----::lwaheetodrncplayienokfetoprbaci
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allfields	10.1007/s11242-020-01470-5 doi (DE-627)SPR041073894 (SPR)s11242-020-01470-5-e DE-627 ger DE-627 rakwb eng 530 ASE 33.00 bkl Yokoyama, Tadashi verfasserin aut Flow Path Selection During Capillary Rise in Rock: Effects of Pore Branching and Pore Radius Variation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract New and existing results of capillary rise experiments on five sandstones and a limestone differing in pore radius distribution were analyzed. Fitting of Lucas–Washburn equation (square of capillary rise height is linearly correlated with time and effective pore radius) showed that the effective pore radius notably smaller than the realistic pore radii in the rock needs to be used to reproduce the measured capillary rise rate. We interpreted the result using a capillary rise model in which the effect of pore branching is combined with a conventional pore radius variation model. The model is outlined as follows: (1) select three representative pore radii from measured pore radius distribution, (2) evaluate the direction at which water proceeds at the branch point of narrow pore and wide pore, (3) calculate an effective pore radius in consideration of the variation of flow path radius. The most important step is the selection of representative pore radii, the way was unknown in our previous research in which the concept of the model was first introduced. We analyzed pore radius distributions of six rocks and derived clear selection criteria of three pore radii that are commonly applicable to the rocks. The model calculations show that the majority of experimental data are explained by the advance of water toward narrow pore at the branch point and that the effective pore radius determined experimentally is successfully predicted by the model. The model is now available for predicting the rate of capillary rise of water in various porous media. Capillary rise (dpeaa)DE-He213 Meniscus (dpeaa)DE-He213 Pore radius distribution (dpeaa)DE-He213 Sandstone (dpeaa)DE-He213 Yorimoto, Masashi verfasserin aut Nishiyama, Naoki verfasserin aut Enthalten in Transport in porous media Dordrecht [u.a.] : Springer Science + Business Media B.V, 1986 135(2020), 1 vom: 15. Sept., Seite 79-99 (DE-627)269017720 (DE-600)1473676-7 1573-1634 nnns volume:135 year:2020 number:1 day:15 month:09 pages:79-99 https://dx.doi.org/10.1007/s11242-020-01470-5 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 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_381 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_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_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 33.00 ASE AR 135 2020 1 15 09 79-99
spelling	10.1007/s11242-020-01470-5 doi (DE-627)SPR041073894 (SPR)s11242-020-01470-5-e DE-627 ger DE-627 rakwb eng 530 ASE 33.00 bkl Yokoyama, Tadashi verfasserin aut Flow Path Selection During Capillary Rise in Rock: Effects of Pore Branching and Pore Radius Variation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract New and existing results of capillary rise experiments on five sandstones and a limestone differing in pore radius distribution were analyzed. Fitting of Lucas–Washburn equation (square of capillary rise height is linearly correlated with time and effective pore radius) showed that the effective pore radius notably smaller than the realistic pore radii in the rock needs to be used to reproduce the measured capillary rise rate. We interpreted the result using a capillary rise model in which the effect of pore branching is combined with a conventional pore radius variation model. The model is outlined as follows: (1) select three representative pore radii from measured pore radius distribution, (2) evaluate the direction at which water proceeds at the branch point of narrow pore and wide pore, (3) calculate an effective pore radius in consideration of the variation of flow path radius. The most important step is the selection of representative pore radii, the way was unknown in our previous research in which the concept of the model was first introduced. We analyzed pore radius distributions of six rocks and derived clear selection criteria of three pore radii that are commonly applicable to the rocks. The model calculations show that the majority of experimental data are explained by the advance of water toward narrow pore at the branch point and that the effective pore radius determined experimentally is successfully predicted by the model. The model is now available for predicting the rate of capillary rise of water in various porous media. Capillary rise (dpeaa)DE-He213 Meniscus (dpeaa)DE-He213 Pore radius distribution (dpeaa)DE-He213 Sandstone (dpeaa)DE-He213 Yorimoto, Masashi verfasserin aut Nishiyama, Naoki verfasserin aut Enthalten in Transport in porous media Dordrecht [u.a.] : Springer Science + Business Media B.V, 1986 135(2020), 1 vom: 15. Sept., Seite 79-99 (DE-627)269017720 (DE-600)1473676-7 1573-1634 nnns volume:135 year:2020 number:1 day:15 month:09 pages:79-99 https://dx.doi.org/10.1007/s11242-020-01470-5 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 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_381 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_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_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 33.00 ASE AR 135 2020 1 15 09 79-99
allfields_unstemmed	10.1007/s11242-020-01470-5 doi (DE-627)SPR041073894 (SPR)s11242-020-01470-5-e DE-627 ger DE-627 rakwb eng 530 ASE 33.00 bkl Yokoyama, Tadashi verfasserin aut Flow Path Selection During Capillary Rise in Rock: Effects of Pore Branching and Pore Radius Variation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract New and existing results of capillary rise experiments on five sandstones and a limestone differing in pore radius distribution were analyzed. Fitting of Lucas–Washburn equation (square of capillary rise height is linearly correlated with time and effective pore radius) showed that the effective pore radius notably smaller than the realistic pore radii in the rock needs to be used to reproduce the measured capillary rise rate. We interpreted the result using a capillary rise model in which the effect of pore branching is combined with a conventional pore radius variation model. The model is outlined as follows: (1) select three representative pore radii from measured pore radius distribution, (2) evaluate the direction at which water proceeds at the branch point of narrow pore and wide pore, (3) calculate an effective pore radius in consideration of the variation of flow path radius. The most important step is the selection of representative pore radii, the way was unknown in our previous research in which the concept of the model was first introduced. We analyzed pore radius distributions of six rocks and derived clear selection criteria of three pore radii that are commonly applicable to the rocks. The model calculations show that the majority of experimental data are explained by the advance of water toward narrow pore at the branch point and that the effective pore radius determined experimentally is successfully predicted by the model. The model is now available for predicting the rate of capillary rise of water in various porous media. Capillary rise (dpeaa)DE-He213 Meniscus (dpeaa)DE-He213 Pore radius distribution (dpeaa)DE-He213 Sandstone (dpeaa)DE-He213 Yorimoto, Masashi verfasserin aut Nishiyama, Naoki verfasserin aut Enthalten in Transport in porous media Dordrecht [u.a.] : Springer Science + Business Media B.V, 1986 135(2020), 1 vom: 15. Sept., Seite 79-99 (DE-627)269017720 (DE-600)1473676-7 1573-1634 nnns volume:135 year:2020 number:1 day:15 month:09 pages:79-99 https://dx.doi.org/10.1007/s11242-020-01470-5 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 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_381 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_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_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 33.00 ASE AR 135 2020 1 15 09 79-99
allfieldsGer	10.1007/s11242-020-01470-5 doi (DE-627)SPR041073894 (SPR)s11242-020-01470-5-e DE-627 ger DE-627 rakwb eng 530 ASE 33.00 bkl Yokoyama, Tadashi verfasserin aut Flow Path Selection During Capillary Rise in Rock: Effects of Pore Branching and Pore Radius Variation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract New and existing results of capillary rise experiments on five sandstones and a limestone differing in pore radius distribution were analyzed. Fitting of Lucas–Washburn equation (square of capillary rise height is linearly correlated with time and effective pore radius) showed that the effective pore radius notably smaller than the realistic pore radii in the rock needs to be used to reproduce the measured capillary rise rate. We interpreted the result using a capillary rise model in which the effect of pore branching is combined with a conventional pore radius variation model. The model is outlined as follows: (1) select three representative pore radii from measured pore radius distribution, (2) evaluate the direction at which water proceeds at the branch point of narrow pore and wide pore, (3) calculate an effective pore radius in consideration of the variation of flow path radius. The most important step is the selection of representative pore radii, the way was unknown in our previous research in which the concept of the model was first introduced. We analyzed pore radius distributions of six rocks and derived clear selection criteria of three pore radii that are commonly applicable to the rocks. The model calculations show that the majority of experimental data are explained by the advance of water toward narrow pore at the branch point and that the effective pore radius determined experimentally is successfully predicted by the model. The model is now available for predicting the rate of capillary rise of water in various porous media. Capillary rise (dpeaa)DE-He213 Meniscus (dpeaa)DE-He213 Pore radius distribution (dpeaa)DE-He213 Sandstone (dpeaa)DE-He213 Yorimoto, Masashi verfasserin aut Nishiyama, Naoki verfasserin aut Enthalten in Transport in porous media Dordrecht [u.a.] : Springer Science + Business Media B.V, 1986 135(2020), 1 vom: 15. Sept., Seite 79-99 (DE-627)269017720 (DE-600)1473676-7 1573-1634 nnns volume:135 year:2020 number:1 day:15 month:09 pages:79-99 https://dx.doi.org/10.1007/s11242-020-01470-5 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 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_381 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_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_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 33.00 ASE AR 135 2020 1 15 09 79-99
allfieldsSound	10.1007/s11242-020-01470-5 doi (DE-627)SPR041073894 (SPR)s11242-020-01470-5-e DE-627 ger DE-627 rakwb eng 530 ASE 33.00 bkl Yokoyama, Tadashi verfasserin aut Flow Path Selection During Capillary Rise in Rock: Effects of Pore Branching and Pore Radius Variation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract New and existing results of capillary rise experiments on five sandstones and a limestone differing in pore radius distribution were analyzed. Fitting of Lucas–Washburn equation (square of capillary rise height is linearly correlated with time and effective pore radius) showed that the effective pore radius notably smaller than the realistic pore radii in the rock needs to be used to reproduce the measured capillary rise rate. We interpreted the result using a capillary rise model in which the effect of pore branching is combined with a conventional pore radius variation model. The model is outlined as follows: (1) select three representative pore radii from measured pore radius distribution, (2) evaluate the direction at which water proceeds at the branch point of narrow pore and wide pore, (3) calculate an effective pore radius in consideration of the variation of flow path radius. The most important step is the selection of representative pore radii, the way was unknown in our previous research in which the concept of the model was first introduced. We analyzed pore radius distributions of six rocks and derived clear selection criteria of three pore radii that are commonly applicable to the rocks. The model calculations show that the majority of experimental data are explained by the advance of water toward narrow pore at the branch point and that the effective pore radius determined experimentally is successfully predicted by the model. The model is now available for predicting the rate of capillary rise of water in various porous media. Capillary rise (dpeaa)DE-He213 Meniscus (dpeaa)DE-He213 Pore radius distribution (dpeaa)DE-He213 Sandstone (dpeaa)DE-He213 Yorimoto, Masashi verfasserin aut Nishiyama, Naoki verfasserin aut Enthalten in Transport in porous media Dordrecht [u.a.] : Springer Science + Business Media B.V, 1986 135(2020), 1 vom: 15. Sept., Seite 79-99 (DE-627)269017720 (DE-600)1473676-7 1573-1634 nnns volume:135 year:2020 number:1 day:15 month:09 pages:79-99 https://dx.doi.org/10.1007/s11242-020-01470-5 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 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_381 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_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_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 33.00 ASE AR 135 2020 1 15 09 79-99
language	English
source	Enthalten in Transport in porous media 135(2020), 1 vom: 15. Sept., Seite 79-99 volume:135 year:2020 number:1 day:15 month:09 pages:79-99
sourceStr	Enthalten in Transport in porous media 135(2020), 1 vom: 15. Sept., Seite 79-99 volume:135 year:2020 number:1 day:15 month:09 pages:79-99
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Capillary rise Meniscus Pore radius distribution Sandstone
dewey-raw	530
isfreeaccess_bool	false
container_title	Transport in porous media
authorswithroles_txt_mv	Yokoyama, Tadashi @@aut@@ Yorimoto, Masashi @@aut@@ Nishiyama, Naoki @@aut@@
publishDateDaySort_date	2020-09-15T00:00:00Z
hierarchy_top_id	269017720
dewey-sort	3530
id	SPR041073894
language_de	englisch
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author	Yokoyama, Tadashi
spellingShingle	Yokoyama, Tadashi ddc 530 bkl 33.00 misc Capillary rise misc Meniscus misc Pore radius distribution misc Sandstone Flow Path Selection During Capillary Rise in Rock: Effects of Pore Branching and Pore Radius Variation
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topic_title	530 ASE 33.00 bkl Flow Path Selection During Capillary Rise in Rock: Effects of Pore Branching and Pore Radius Variation Capillary rise (dpeaa)DE-He213 Meniscus (dpeaa)DE-He213 Pore radius distribution (dpeaa)DE-He213 Sandstone (dpeaa)DE-He213
topic	ddc 530 bkl 33.00 misc Capillary rise misc Meniscus misc Pore radius distribution misc Sandstone
topic_unstemmed	ddc 530 bkl 33.00 misc Capillary rise misc Meniscus misc Pore radius distribution misc Sandstone
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title	Flow Path Selection During Capillary Rise in Rock: Effects of Pore Branching and Pore Radius Variation
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title_full	Flow Path Selection During Capillary Rise in Rock: Effects of Pore Branching and Pore Radius Variation
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title_sort	flow path selection during capillary rise in rock: effects of pore branching and pore radius variation
title_auth	Flow Path Selection During Capillary Rise in Rock: Effects of Pore Branching and Pore Radius Variation
abstract	Abstract New and existing results of capillary rise experiments on five sandstones and a limestone differing in pore radius distribution were analyzed. Fitting of Lucas–Washburn equation (square of capillary rise height is linearly correlated with time and effective pore radius) showed that the effective pore radius notably smaller than the realistic pore radii in the rock needs to be used to reproduce the measured capillary rise rate. We interpreted the result using a capillary rise model in which the effect of pore branching is combined with a conventional pore radius variation model. The model is outlined as follows: (1) select three representative pore radii from measured pore radius distribution, (2) evaluate the direction at which water proceeds at the branch point of narrow pore and wide pore, (3) calculate an effective pore radius in consideration of the variation of flow path radius. The most important step is the selection of representative pore radii, the way was unknown in our previous research in which the concept of the model was first introduced. We analyzed pore radius distributions of six rocks and derived clear selection criteria of three pore radii that are commonly applicable to the rocks. The model calculations show that the majority of experimental data are explained by the advance of water toward narrow pore at the branch point and that the effective pore radius determined experimentally is successfully predicted by the model. The model is now available for predicting the rate of capillary rise of water in various porous media.
abstractGer	Abstract New and existing results of capillary rise experiments on five sandstones and a limestone differing in pore radius distribution were analyzed. Fitting of Lucas–Washburn equation (square of capillary rise height is linearly correlated with time and effective pore radius) showed that the effective pore radius notably smaller than the realistic pore radii in the rock needs to be used to reproduce the measured capillary rise rate. We interpreted the result using a capillary rise model in which the effect of pore branching is combined with a conventional pore radius variation model. The model is outlined as follows: (1) select three representative pore radii from measured pore radius distribution, (2) evaluate the direction at which water proceeds at the branch point of narrow pore and wide pore, (3) calculate an effective pore radius in consideration of the variation of flow path radius. The most important step is the selection of representative pore radii, the way was unknown in our previous research in which the concept of the model was first introduced. We analyzed pore radius distributions of six rocks and derived clear selection criteria of three pore radii that are commonly applicable to the rocks. The model calculations show that the majority of experimental data are explained by the advance of water toward narrow pore at the branch point and that the effective pore radius determined experimentally is successfully predicted by the model. The model is now available for predicting the rate of capillary rise of water in various porous media.
abstract_unstemmed	Abstract New and existing results of capillary rise experiments on five sandstones and a limestone differing in pore radius distribution were analyzed. Fitting of Lucas–Washburn equation (square of capillary rise height is linearly correlated with time and effective pore radius) showed that the effective pore radius notably smaller than the realistic pore radii in the rock needs to be used to reproduce the measured capillary rise rate. We interpreted the result using a capillary rise model in which the effect of pore branching is combined with a conventional pore radius variation model. The model is outlined as follows: (1) select three representative pore radii from measured pore radius distribution, (2) evaluate the direction at which water proceeds at the branch point of narrow pore and wide pore, (3) calculate an effective pore radius in consideration of the variation of flow path radius. The most important step is the selection of representative pore radii, the way was unknown in our previous research in which the concept of the model was first introduced. We analyzed pore radius distributions of six rocks and derived clear selection criteria of three pore radii that are commonly applicable to the rocks. The model calculations show that the majority of experimental data are explained by the advance of water toward narrow pore at the branch point and that the effective pore radius determined experimentally is successfully predicted by the model. The model is now available for predicting the rate of capillary rise of water in various porous media.
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title_short	Flow Path Selection During Capillary Rise in Rock: Effects of Pore Branching and Pore Radius Variation
url	https://dx.doi.org/10.1007/s11242-020-01470-5
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up_date	2024-07-03T20:04:19.412Z
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Flow Path Selection During Capillary Rise in Rock: Effects of Pore Branching and Pore Radius Variation

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