Formulation of a newly developed shale-swelling model as a function of compaction pressure and temperature
Abstract One of the most critical problems in the oil and gas industry is the tendency of shale formation to swell in the presence of water-based mud. The diffusion of water molecules in the nanoplatelet of clay minerals is the main reason behind the wellbore instability issues. This interaction pro...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lalji, Shaine Mohammadali [verfasserIn] Haneef, Javed [verfasserIn] Hashmi, Saud [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: |
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Multiscale and multidisciplinary modeling, experiments and design - Springer International Publishing, 2017, 7(2024), 3 vom: 15. März, Seite 3055-3068 |
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| Übergeordnetes Werk: |
volume:7 ; year:2024 ; number:3 ; day:15 ; month:03 ; pages:3055-3068 |
| Links: |
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| DOI / URN: |
10.1007/s41939-024-00390-x |
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SPR056687257 |
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| 520 | |a Abstract One of the most critical problems in the oil and gas industry is the tendency of shale formation to swell in the presence of water-based mud. The diffusion of water molecules in the nanoplatelet of clay minerals is the main reason behind the wellbore instability issues. This interaction promotes some severe mechanical and physical problems, which eventually minimize the integrity of the wellbore. In the laboratory, shale swelling is experimentally investigated through linear dynamic swell meter (LDSM). In this study, we modified our scaling model developed in 2022 with the addition of compaction pressure. This parameter along with temperature is the critical features responsible for the hydro-mechanical characteristics of a material. The newly proposed model was used to validate the LDSM experimental result. The result of the study shows that the new model effectively models LDSM swelling results. The performance of the model was compared with the help of statistical error sources namely mean absolute error, root mean squared error and average absolute deviation (AAD %). The shrinkage of all these error sources below 1% clearly demonstrates the efficacy of the newly pressure model. In addition, the ANOVA analysis was also used to prove the efficiency of the model. Based on the results, Fcalculated < Fcrit and $$p{\text{-value}} >0.05$$, it can be concluded that the null hypothesis was failed to reject and there was no substantial change between the model and the experimental result. In addition, the newly developed model was also used to model Ranikhot shale formation experimental data. The investigation shows the high efficacy of the model as it demonstrated absolute error well below 0.2%. All these examinations give the conclusive idea that the newly proposed pressure model is a useful tool for the validation of experimental swelling results. | ||
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10.1007/s41939-024-00390-x doi (DE-627)SPR056687257 (SPR)s41939-024-00390-x-e DE-627 ger DE-627 rakwb eng 620 VZ 620 VZ Lalji, Shaine Mohammadali verfasserin aut Formulation of a newly developed shale-swelling model as a function of compaction pressure and temperature 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract One of the most critical problems in the oil and gas industry is the tendency of shale formation to swell in the presence of water-based mud. The diffusion of water molecules in the nanoplatelet of clay minerals is the main reason behind the wellbore instability issues. This interaction promotes some severe mechanical and physical problems, which eventually minimize the integrity of the wellbore. In the laboratory, shale swelling is experimentally investigated through linear dynamic swell meter (LDSM). In this study, we modified our scaling model developed in 2022 with the addition of compaction pressure. This parameter along with temperature is the critical features responsible for the hydro-mechanical characteristics of a material. The newly proposed model was used to validate the LDSM experimental result. The result of the study shows that the new model effectively models LDSM swelling results. The performance of the model was compared with the help of statistical error sources namely mean absolute error, root mean squared error and average absolute deviation (AAD %). The shrinkage of all these error sources below 1% clearly demonstrates the efficacy of the newly pressure model. In addition, the ANOVA analysis was also used to prove the efficiency of the model. Based on the results, Fcalculated < Fcrit and $$p{\text{-value}} >0.05$$, it can be concluded that the null hypothesis was failed to reject and there was no substantial change between the model and the experimental result. In addition, the newly developed model was also used to model Ranikhot shale formation experimental data. The investigation shows the high efficacy of the model as it demonstrated absolute error well below 0.2%. All these examinations give the conclusive idea that the newly proposed pressure model is a useful tool for the validation of experimental swelling results. Linear dynamic swell meter (dpeaa)DE-He213 Water-based mud (dpeaa)DE-He213 Shale (dpeaa)DE-He213 Compaction pressure (dpeaa)DE-He213 Scaling model (dpeaa)DE-He213 Haneef, Javed verfasserin aut Hashmi, Saud verfasserin aut Enthalten in Multiscale and multidisciplinary modeling, experiments and design Springer International Publishing, 2017 7(2024), 3 vom: 15. März, Seite 3055-3068 (DE-627)1007210842 (DE-600)2913588-6 2520-8179 nnns volume:7 year:2024 number:3 day:15 month:03 pages:3055-3068 https://dx.doi.org/10.1007/s41939-024-00390-x X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 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_266 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_2190 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_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 7 2024 3 15 03 3055-3068 |
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10.1007/s41939-024-00390-x doi (DE-627)SPR056687257 (SPR)s41939-024-00390-x-e DE-627 ger DE-627 rakwb eng 620 VZ 620 VZ Lalji, Shaine Mohammadali verfasserin aut Formulation of a newly developed shale-swelling model as a function of compaction pressure and temperature 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract One of the most critical problems in the oil and gas industry is the tendency of shale formation to swell in the presence of water-based mud. The diffusion of water molecules in the nanoplatelet of clay minerals is the main reason behind the wellbore instability issues. This interaction promotes some severe mechanical and physical problems, which eventually minimize the integrity of the wellbore. In the laboratory, shale swelling is experimentally investigated through linear dynamic swell meter (LDSM). In this study, we modified our scaling model developed in 2022 with the addition of compaction pressure. This parameter along with temperature is the critical features responsible for the hydro-mechanical characteristics of a material. The newly proposed model was used to validate the LDSM experimental result. The result of the study shows that the new model effectively models LDSM swelling results. The performance of the model was compared with the help of statistical error sources namely mean absolute error, root mean squared error and average absolute deviation (AAD %). The shrinkage of all these error sources below 1% clearly demonstrates the efficacy of the newly pressure model. In addition, the ANOVA analysis was also used to prove the efficiency of the model. Based on the results, Fcalculated < Fcrit and $$p{\text{-value}} >0.05$$, it can be concluded that the null hypothesis was failed to reject and there was no substantial change between the model and the experimental result. In addition, the newly developed model was also used to model Ranikhot shale formation experimental data. The investigation shows the high efficacy of the model as it demonstrated absolute error well below 0.2%. All these examinations give the conclusive idea that the newly proposed pressure model is a useful tool for the validation of experimental swelling results. Linear dynamic swell meter (dpeaa)DE-He213 Water-based mud (dpeaa)DE-He213 Shale (dpeaa)DE-He213 Compaction pressure (dpeaa)DE-He213 Scaling model (dpeaa)DE-He213 Haneef, Javed verfasserin aut Hashmi, Saud verfasserin aut Enthalten in Multiscale and multidisciplinary modeling, experiments and design Springer International Publishing, 2017 7(2024), 3 vom: 15. März, Seite 3055-3068 (DE-627)1007210842 (DE-600)2913588-6 2520-8179 nnns volume:7 year:2024 number:3 day:15 month:03 pages:3055-3068 https://dx.doi.org/10.1007/s41939-024-00390-x X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 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_266 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_2190 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_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 7 2024 3 15 03 3055-3068 |
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10.1007/s41939-024-00390-x doi (DE-627)SPR056687257 (SPR)s41939-024-00390-x-e DE-627 ger DE-627 rakwb eng 620 VZ 620 VZ Lalji, Shaine Mohammadali verfasserin aut Formulation of a newly developed shale-swelling model as a function of compaction pressure and temperature 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract One of the most critical problems in the oil and gas industry is the tendency of shale formation to swell in the presence of water-based mud. The diffusion of water molecules in the nanoplatelet of clay minerals is the main reason behind the wellbore instability issues. This interaction promotes some severe mechanical and physical problems, which eventually minimize the integrity of the wellbore. In the laboratory, shale swelling is experimentally investigated through linear dynamic swell meter (LDSM). In this study, we modified our scaling model developed in 2022 with the addition of compaction pressure. This parameter along with temperature is the critical features responsible for the hydro-mechanical characteristics of a material. The newly proposed model was used to validate the LDSM experimental result. The result of the study shows that the new model effectively models LDSM swelling results. The performance of the model was compared with the help of statistical error sources namely mean absolute error, root mean squared error and average absolute deviation (AAD %). The shrinkage of all these error sources below 1% clearly demonstrates the efficacy of the newly pressure model. In addition, the ANOVA analysis was also used to prove the efficiency of the model. Based on the results, Fcalculated < Fcrit and $$p{\text{-value}} >0.05$$, it can be concluded that the null hypothesis was failed to reject and there was no substantial change between the model and the experimental result. In addition, the newly developed model was also used to model Ranikhot shale formation experimental data. The investigation shows the high efficacy of the model as it demonstrated absolute error well below 0.2%. All these examinations give the conclusive idea that the newly proposed pressure model is a useful tool for the validation of experimental swelling results. Linear dynamic swell meter (dpeaa)DE-He213 Water-based mud (dpeaa)DE-He213 Shale (dpeaa)DE-He213 Compaction pressure (dpeaa)DE-He213 Scaling model (dpeaa)DE-He213 Haneef, Javed verfasserin aut Hashmi, Saud verfasserin aut Enthalten in Multiscale and multidisciplinary modeling, experiments and design Springer International Publishing, 2017 7(2024), 3 vom: 15. März, Seite 3055-3068 (DE-627)1007210842 (DE-600)2913588-6 2520-8179 nnns volume:7 year:2024 number:3 day:15 month:03 pages:3055-3068 https://dx.doi.org/10.1007/s41939-024-00390-x X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 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_266 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_2190 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_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 7 2024 3 15 03 3055-3068 |
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10.1007/s41939-024-00390-x doi (DE-627)SPR056687257 (SPR)s41939-024-00390-x-e DE-627 ger DE-627 rakwb eng 620 VZ 620 VZ Lalji, Shaine Mohammadali verfasserin aut Formulation of a newly developed shale-swelling model as a function of compaction pressure and temperature 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract One of the most critical problems in the oil and gas industry is the tendency of shale formation to swell in the presence of water-based mud. The diffusion of water molecules in the nanoplatelet of clay minerals is the main reason behind the wellbore instability issues. This interaction promotes some severe mechanical and physical problems, which eventually minimize the integrity of the wellbore. In the laboratory, shale swelling is experimentally investigated through linear dynamic swell meter (LDSM). In this study, we modified our scaling model developed in 2022 with the addition of compaction pressure. This parameter along with temperature is the critical features responsible for the hydro-mechanical characteristics of a material. The newly proposed model was used to validate the LDSM experimental result. The result of the study shows that the new model effectively models LDSM swelling results. The performance of the model was compared with the help of statistical error sources namely mean absolute error, root mean squared error and average absolute deviation (AAD %). The shrinkage of all these error sources below 1% clearly demonstrates the efficacy of the newly pressure model. In addition, the ANOVA analysis was also used to prove the efficiency of the model. Based on the results, Fcalculated < Fcrit and $$p{\text{-value}} >0.05$$, it can be concluded that the null hypothesis was failed to reject and there was no substantial change between the model and the experimental result. In addition, the newly developed model was also used to model Ranikhot shale formation experimental data. The investigation shows the high efficacy of the model as it demonstrated absolute error well below 0.2%. All these examinations give the conclusive idea that the newly proposed pressure model is a useful tool for the validation of experimental swelling results. Linear dynamic swell meter (dpeaa)DE-He213 Water-based mud (dpeaa)DE-He213 Shale (dpeaa)DE-He213 Compaction pressure (dpeaa)DE-He213 Scaling model (dpeaa)DE-He213 Haneef, Javed verfasserin aut Hashmi, Saud verfasserin aut Enthalten in Multiscale and multidisciplinary modeling, experiments and design Springer International Publishing, 2017 7(2024), 3 vom: 15. März, Seite 3055-3068 (DE-627)1007210842 (DE-600)2913588-6 2520-8179 nnns volume:7 year:2024 number:3 day:15 month:03 pages:3055-3068 https://dx.doi.org/10.1007/s41939-024-00390-x X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 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_266 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_2190 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_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 7 2024 3 15 03 3055-3068 |
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10.1007/s41939-024-00390-x doi (DE-627)SPR056687257 (SPR)s41939-024-00390-x-e DE-627 ger DE-627 rakwb eng 620 VZ 620 VZ Lalji, Shaine Mohammadali verfasserin aut Formulation of a newly developed shale-swelling model as a function of compaction pressure and temperature 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract One of the most critical problems in the oil and gas industry is the tendency of shale formation to swell in the presence of water-based mud. The diffusion of water molecules in the nanoplatelet of clay minerals is the main reason behind the wellbore instability issues. This interaction promotes some severe mechanical and physical problems, which eventually minimize the integrity of the wellbore. In the laboratory, shale swelling is experimentally investigated through linear dynamic swell meter (LDSM). In this study, we modified our scaling model developed in 2022 with the addition of compaction pressure. This parameter along with temperature is the critical features responsible for the hydro-mechanical characteristics of a material. The newly proposed model was used to validate the LDSM experimental result. The result of the study shows that the new model effectively models LDSM swelling results. The performance of the model was compared with the help of statistical error sources namely mean absolute error, root mean squared error and average absolute deviation (AAD %). The shrinkage of all these error sources below 1% clearly demonstrates the efficacy of the newly pressure model. In addition, the ANOVA analysis was also used to prove the efficiency of the model. Based on the results, Fcalculated < Fcrit and $$p{\text{-value}} >0.05$$, it can be concluded that the null hypothesis was failed to reject and there was no substantial change between the model and the experimental result. In addition, the newly developed model was also used to model Ranikhot shale formation experimental data. The investigation shows the high efficacy of the model as it demonstrated absolute error well below 0.2%. All these examinations give the conclusive idea that the newly proposed pressure model is a useful tool for the validation of experimental swelling results. Linear dynamic swell meter (dpeaa)DE-He213 Water-based mud (dpeaa)DE-He213 Shale (dpeaa)DE-He213 Compaction pressure (dpeaa)DE-He213 Scaling model (dpeaa)DE-He213 Haneef, Javed verfasserin aut Hashmi, Saud verfasserin aut Enthalten in Multiscale and multidisciplinary modeling, experiments and design Springer International Publishing, 2017 7(2024), 3 vom: 15. März, Seite 3055-3068 (DE-627)1007210842 (DE-600)2913588-6 2520-8179 nnns volume:7 year:2024 number:3 day:15 month:03 pages:3055-3068 https://dx.doi.org/10.1007/s41939-024-00390-x X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 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_266 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_2190 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_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 7 2024 3 15 03 3055-3068 |
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Enthalten in Multiscale and multidisciplinary modeling, experiments and design 7(2024), 3 vom: 15. März, Seite 3055-3068 volume:7 year:2024 number:3 day:15 month:03 pages:3055-3068 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract One of the most critical problems in the oil and gas industry is the tendency of shale formation to swell in the presence of water-based mud. The diffusion of water molecules in the nanoplatelet of clay minerals is the main reason behind the wellbore instability issues. This interaction promotes some severe mechanical and physical problems, which eventually minimize the integrity of the wellbore. In the laboratory, shale swelling is experimentally investigated through linear dynamic swell meter (LDSM). In this study, we modified our scaling model developed in 2022 with the addition of compaction pressure. This parameter along with temperature is the critical features responsible for the hydro-mechanical characteristics of a material. The newly proposed model was used to validate the LDSM experimental result. The result of the study shows that the new model effectively models LDSM swelling results. The performance of the model was compared with the help of statistical error sources namely mean absolute error, root mean squared error and average absolute deviation (AAD %). The shrinkage of all these error sources below 1% clearly demonstrates the efficacy of the newly pressure model. In addition, the ANOVA analysis was also used to prove the efficiency of the model. Based on the results, Fcalculated < Fcrit and $$p{\text{-value}} >0.05$$, it can be concluded that the null hypothesis was failed to reject and there was no substantial change between the model and the experimental result. In addition, the newly developed model was also used to model Ranikhot shale formation experimental data. The investigation shows the high efficacy of the model as it demonstrated absolute error well below 0.2%. All these examinations give the conclusive idea that the newly proposed pressure model is a useful tool for the validation of experimental swelling results.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Linear dynamic swell meter</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Water-based mud</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Shale</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Compaction pressure</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Scaling model</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Haneef, Javed</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hashmi, Saud</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Multiscale and multidisciplinary modeling, experiments and design</subfield><subfield code="d">Springer International Publishing, 2017</subfield><subfield code="g">7(2024), 3 vom: 15. 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Lalji, Shaine Mohammadali |
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620 VZ Formulation of a newly developed shale-swelling model as a function of compaction pressure and temperature Linear dynamic swell meter (dpeaa)DE-He213 Water-based mud (dpeaa)DE-He213 Shale (dpeaa)DE-He213 Compaction pressure (dpeaa)DE-He213 Scaling model (dpeaa)DE-He213 |
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formulation of a newly developed shale-swelling model as a function of compaction pressure and temperature |
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Formulation of a newly developed shale-swelling model as a function of compaction pressure and temperature |
| abstract |
Abstract One of the most critical problems in the oil and gas industry is the tendency of shale formation to swell in the presence of water-based mud. The diffusion of water molecules in the nanoplatelet of clay minerals is the main reason behind the wellbore instability issues. This interaction promotes some severe mechanical and physical problems, which eventually minimize the integrity of the wellbore. In the laboratory, shale swelling is experimentally investigated through linear dynamic swell meter (LDSM). In this study, we modified our scaling model developed in 2022 with the addition of compaction pressure. This parameter along with temperature is the critical features responsible for the hydro-mechanical characteristics of a material. The newly proposed model was used to validate the LDSM experimental result. The result of the study shows that the new model effectively models LDSM swelling results. The performance of the model was compared with the help of statistical error sources namely mean absolute error, root mean squared error and average absolute deviation (AAD %). The shrinkage of all these error sources below 1% clearly demonstrates the efficacy of the newly pressure model. In addition, the ANOVA analysis was also used to prove the efficiency of the model. Based on the results, Fcalculated < Fcrit and $$p{\text{-value}} >0.05$$, it can be concluded that the null hypothesis was failed to reject and there was no substantial change between the model and the experimental result. In addition, the newly developed model was also used to model Ranikhot shale formation experimental data. The investigation shows the high efficacy of the model as it demonstrated absolute error well below 0.2%. All these examinations give the conclusive idea that the newly proposed pressure model is a useful tool for the validation of experimental swelling results. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract One of the most critical problems in the oil and gas industry is the tendency of shale formation to swell in the presence of water-based mud. The diffusion of water molecules in the nanoplatelet of clay minerals is the main reason behind the wellbore instability issues. This interaction promotes some severe mechanical and physical problems, which eventually minimize the integrity of the wellbore. In the laboratory, shale swelling is experimentally investigated through linear dynamic swell meter (LDSM). In this study, we modified our scaling model developed in 2022 with the addition of compaction pressure. This parameter along with temperature is the critical features responsible for the hydro-mechanical characteristics of a material. The newly proposed model was used to validate the LDSM experimental result. The result of the study shows that the new model effectively models LDSM swelling results. The performance of the model was compared with the help of statistical error sources namely mean absolute error, root mean squared error and average absolute deviation (AAD %). The shrinkage of all these error sources below 1% clearly demonstrates the efficacy of the newly pressure model. In addition, the ANOVA analysis was also used to prove the efficiency of the model. Based on the results, Fcalculated < Fcrit and $$p{\text{-value}} >0.05$$, it can be concluded that the null hypothesis was failed to reject and there was no substantial change between the model and the experimental result. In addition, the newly developed model was also used to model Ranikhot shale formation experimental data. The investigation shows the high efficacy of the model as it demonstrated absolute error well below 0.2%. All these examinations give the conclusive idea that the newly proposed pressure model is a useful tool for the validation of experimental swelling results. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract One of the most critical problems in the oil and gas industry is the tendency of shale formation to swell in the presence of water-based mud. The diffusion of water molecules in the nanoplatelet of clay minerals is the main reason behind the wellbore instability issues. This interaction promotes some severe mechanical and physical problems, which eventually minimize the integrity of the wellbore. In the laboratory, shale swelling is experimentally investigated through linear dynamic swell meter (LDSM). In this study, we modified our scaling model developed in 2022 with the addition of compaction pressure. This parameter along with temperature is the critical features responsible for the hydro-mechanical characteristics of a material. The newly proposed model was used to validate the LDSM experimental result. The result of the study shows that the new model effectively models LDSM swelling results. The performance of the model was compared with the help of statistical error sources namely mean absolute error, root mean squared error and average absolute deviation (AAD %). The shrinkage of all these error sources below 1% clearly demonstrates the efficacy of the newly pressure model. In addition, the ANOVA analysis was also used to prove the efficiency of the model. Based on the results, Fcalculated < Fcrit and $$p{\text{-value}} >0.05$$, it can be concluded that the null hypothesis was failed to reject and there was no substantial change between the model and the experimental result. In addition, the newly developed model was also used to model Ranikhot shale formation experimental data. The investigation shows the high efficacy of the model as it demonstrated absolute error well below 0.2%. All these examinations give the conclusive idea that the newly proposed pressure model is a useful tool for the validation of experimental swelling results. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Formulation of a newly developed shale-swelling model as a function of compaction pressure and temperature |
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https://dx.doi.org/10.1007/s41939-024-00390-x |
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Haneef, Javed Hashmi, Saud |
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10.1007/s41939-024-00390-x |
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| score |
7.4014397 |