Numerical modelling of long-term CO

We present numerical modelling of long-term CO2 storage in saline aquifers using field dataset in the Sleipner carbon capture and storage project in offshore Norway. A compositional reservoir simulation model was constructed for an entire section of the reservoir whose thickness is approximately 200...
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Autor*in:	Akai, Takashi [verfasserIn] Kuriyama, Takashi [verfasserIn] Kato, Shigeru [verfasserIn] Okabe, Hiroshi [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Treibhausgas-Emissionen / Klimaschutz
Schlagwörter:	Carbon capture and storage (CCS) CO Sleipner CCS project Compositional reservoir simulation

Übergeordnetes Werk:	Enthalten in: International journal of greenhouse gas control - New York, NY [u.a.] : Elsevier, 2007, 110
Übergeordnetes Werk:	volume:110

DOI / URN:	10.1016/j.ijggc.2021.103405

Katalog-ID:	ELV00657601X

Internformat


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245	1	0	\|a Numerical modelling of long-term CO
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520			\|a We present numerical modelling of long-term CO2 storage in saline aquifers using field dataset in the Sleipner carbon capture and storage project in offshore Norway. A compositional reservoir simulation model was constructed for an entire section of the reservoir whose thickness is approximately 200 m. We used a fine grid system with a thickness of down to 0.2 m to capture thin intraformational mudrock barriers which can play an important role in the upward migration of injected CO2 as observed in 4D seismic datasets. The threshold capillary pressure and vertical permeability of these mudrock barriers were tuned to have nine separated CO2 plumes below the mudrock layers as observed in the corresponding seismic data. The mismatches in the CO2 plume between our simulation result and 4D seismic observation suggested further model tuning. The simulation was extended without further CO2 injection. During CO2 injection, the dominant storage mechanism was structural trapping, which was influenced by the properties of intraformational mudrock barriers. After the end of CO2 injection, the amount of residual gas trapping started to increase. The significant change in the storage mechanisms occurred during a period of 20 years after shut-in. At 100 years and onward, solubility trapping took effect with the decrease of residually trapped CO2. Mass diffusion of CO2 in formation brine controlled the degree of the invasion of CO2 into the cap rock over 1000 years of our simulation limit.
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650		4	\|a Carbon capture and storage (CCS)
650		4	\|a CO
650		4	\|a Sleipner CCS project
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650		4	\|a Compositional reservoir simulation
700	1		\|a Kuriyama, Takashi \|e verfasserin \|4 aut
700	1		\|a Kato, Shigeru \|e verfasserin \|4 aut
700	1		\|a Okabe, Hiroshi \|e verfasserin \|0 (orcid)0000-0002-6829-2172 \|4 aut
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952			\|d 110

Indexfelder

author_variant	t a ta t k tk s k sk h o ho
matchkey_str	article:18780148:2021----::ueiamdligf
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publishDate	2021
allfields	10.1016/j.ijggc.2021.103405 doi (DE-627)ELV00657601X (ELSEVIER)S1750-5836(21)00157-2 DE-627 ger DE-627 rda eng 333.7 690 DE-600 Akai, Takashi verfasserin (orcid)0000-0003-2800-9034 aut Numerical modelling of long-term CO 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We present numerical modelling of long-term CO2 storage in saline aquifers using field dataset in the Sleipner carbon capture and storage project in offshore Norway. A compositional reservoir simulation model was constructed for an entire section of the reservoir whose thickness is approximately 200 m. We used a fine grid system with a thickness of down to 0.2 m to capture thin intraformational mudrock barriers which can play an important role in the upward migration of injected CO2 as observed in 4D seismic datasets. The threshold capillary pressure and vertical permeability of these mudrock barriers were tuned to have nine separated CO2 plumes below the mudrock layers as observed in the corresponding seismic data. The mismatches in the CO2 plume between our simulation result and 4D seismic observation suggested further model tuning. The simulation was extended without further CO2 injection. During CO2 injection, the dominant storage mechanism was structural trapping, which was influenced by the properties of intraformational mudrock barriers. After the end of CO2 injection, the amount of residual gas trapping started to increase. The significant change in the storage mechanisms occurred during a period of 20 years after shut-in. At 100 years and onward, solubility trapping took effect with the decrease of residually trapped CO2. Mass diffusion of CO2 in formation brine controlled the degree of the invasion of CO2 into the cap rock over 1000 years of our simulation limit. 1.1\x Treibhausgas-Emissionen (DE-2867)14640-1 stw 1.2\x Klimaschutz (DE-2867)19481-5 stw Carbon capture and storage (CCS) CO Sleipner CCS project CO Compositional reservoir simulation Kuriyama, Takashi verfasserin aut Kato, Shigeru verfasserin aut Okabe, Hiroshi verfasserin (orcid)0000-0002-6829-2172 aut Enthalten in International journal of greenhouse gas control New York, NY [u.a.] : Elsevier, 2007 110 Online-Ressource (DE-627)531200302 (DE-600)2322650-X (DE-576)271361476 1878-0148 nnns volume:110 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 110
spelling	10.1016/j.ijggc.2021.103405 doi (DE-627)ELV00657601X (ELSEVIER)S1750-5836(21)00157-2 DE-627 ger DE-627 rda eng 333.7 690 DE-600 Akai, Takashi verfasserin (orcid)0000-0003-2800-9034 aut Numerical modelling of long-term CO 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We present numerical modelling of long-term CO2 storage in saline aquifers using field dataset in the Sleipner carbon capture and storage project in offshore Norway. A compositional reservoir simulation model was constructed for an entire section of the reservoir whose thickness is approximately 200 m. We used a fine grid system with a thickness of down to 0.2 m to capture thin intraformational mudrock barriers which can play an important role in the upward migration of injected CO2 as observed in 4D seismic datasets. The threshold capillary pressure and vertical permeability of these mudrock barriers were tuned to have nine separated CO2 plumes below the mudrock layers as observed in the corresponding seismic data. The mismatches in the CO2 plume between our simulation result and 4D seismic observation suggested further model tuning. The simulation was extended without further CO2 injection. During CO2 injection, the dominant storage mechanism was structural trapping, which was influenced by the properties of intraformational mudrock barriers. After the end of CO2 injection, the amount of residual gas trapping started to increase. The significant change in the storage mechanisms occurred during a period of 20 years after shut-in. At 100 years and onward, solubility trapping took effect with the decrease of residually trapped CO2. Mass diffusion of CO2 in formation brine controlled the degree of the invasion of CO2 into the cap rock over 1000 years of our simulation limit. 1.1\x Treibhausgas-Emissionen (DE-2867)14640-1 stw 1.2\x Klimaschutz (DE-2867)19481-5 stw Carbon capture and storage (CCS) CO Sleipner CCS project CO Compositional reservoir simulation Kuriyama, Takashi verfasserin aut Kato, Shigeru verfasserin aut Okabe, Hiroshi verfasserin (orcid)0000-0002-6829-2172 aut Enthalten in International journal of greenhouse gas control New York, NY [u.a.] : Elsevier, 2007 110 Online-Ressource (DE-627)531200302 (DE-600)2322650-X (DE-576)271361476 1878-0148 nnns volume:110 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 110
allfields_unstemmed	10.1016/j.ijggc.2021.103405 doi (DE-627)ELV00657601X (ELSEVIER)S1750-5836(21)00157-2 DE-627 ger DE-627 rda eng 333.7 690 DE-600 Akai, Takashi verfasserin (orcid)0000-0003-2800-9034 aut Numerical modelling of long-term CO 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We present numerical modelling of long-term CO2 storage in saline aquifers using field dataset in the Sleipner carbon capture and storage project in offshore Norway. A compositional reservoir simulation model was constructed for an entire section of the reservoir whose thickness is approximately 200 m. We used a fine grid system with a thickness of down to 0.2 m to capture thin intraformational mudrock barriers which can play an important role in the upward migration of injected CO2 as observed in 4D seismic datasets. The threshold capillary pressure and vertical permeability of these mudrock barriers were tuned to have nine separated CO2 plumes below the mudrock layers as observed in the corresponding seismic data. The mismatches in the CO2 plume between our simulation result and 4D seismic observation suggested further model tuning. The simulation was extended without further CO2 injection. During CO2 injection, the dominant storage mechanism was structural trapping, which was influenced by the properties of intraformational mudrock barriers. After the end of CO2 injection, the amount of residual gas trapping started to increase. The significant change in the storage mechanisms occurred during a period of 20 years after shut-in. At 100 years and onward, solubility trapping took effect with the decrease of residually trapped CO2. Mass diffusion of CO2 in formation brine controlled the degree of the invasion of CO2 into the cap rock over 1000 years of our simulation limit. 1.1\x Treibhausgas-Emissionen (DE-2867)14640-1 stw 1.2\x Klimaschutz (DE-2867)19481-5 stw Carbon capture and storage (CCS) CO Sleipner CCS project CO Compositional reservoir simulation Kuriyama, Takashi verfasserin aut Kato, Shigeru verfasserin aut Okabe, Hiroshi verfasserin (orcid)0000-0002-6829-2172 aut Enthalten in International journal of greenhouse gas control New York, NY [u.a.] : Elsevier, 2007 110 Online-Ressource (DE-627)531200302 (DE-600)2322650-X (DE-576)271361476 1878-0148 nnns volume:110 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 110
allfieldsGer	10.1016/j.ijggc.2021.103405 doi (DE-627)ELV00657601X (ELSEVIER)S1750-5836(21)00157-2 DE-627 ger DE-627 rda eng 333.7 690 DE-600 Akai, Takashi verfasserin (orcid)0000-0003-2800-9034 aut Numerical modelling of long-term CO 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We present numerical modelling of long-term CO2 storage in saline aquifers using field dataset in the Sleipner carbon capture and storage project in offshore Norway. A compositional reservoir simulation model was constructed for an entire section of the reservoir whose thickness is approximately 200 m. We used a fine grid system with a thickness of down to 0.2 m to capture thin intraformational mudrock barriers which can play an important role in the upward migration of injected CO2 as observed in 4D seismic datasets. The threshold capillary pressure and vertical permeability of these mudrock barriers were tuned to have nine separated CO2 plumes below the mudrock layers as observed in the corresponding seismic data. The mismatches in the CO2 plume between our simulation result and 4D seismic observation suggested further model tuning. The simulation was extended without further CO2 injection. During CO2 injection, the dominant storage mechanism was structural trapping, which was influenced by the properties of intraformational mudrock barriers. After the end of CO2 injection, the amount of residual gas trapping started to increase. The significant change in the storage mechanisms occurred during a period of 20 years after shut-in. At 100 years and onward, solubility trapping took effect with the decrease of residually trapped CO2. Mass diffusion of CO2 in formation brine controlled the degree of the invasion of CO2 into the cap rock over 1000 years of our simulation limit. 1.1\x Treibhausgas-Emissionen (DE-2867)14640-1 stw 1.2\x Klimaschutz (DE-2867)19481-5 stw Carbon capture and storage (CCS) CO Sleipner CCS project CO Compositional reservoir simulation Kuriyama, Takashi verfasserin aut Kato, Shigeru verfasserin aut Okabe, Hiroshi verfasserin (orcid)0000-0002-6829-2172 aut Enthalten in International journal of greenhouse gas control New York, NY [u.a.] : Elsevier, 2007 110 Online-Ressource (DE-627)531200302 (DE-600)2322650-X (DE-576)271361476 1878-0148 nnns volume:110 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 110
allfieldsSound	10.1016/j.ijggc.2021.103405 doi (DE-627)ELV00657601X (ELSEVIER)S1750-5836(21)00157-2 DE-627 ger DE-627 rda eng 333.7 690 DE-600 Akai, Takashi verfasserin (orcid)0000-0003-2800-9034 aut Numerical modelling of long-term CO 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We present numerical modelling of long-term CO2 storage in saline aquifers using field dataset in the Sleipner carbon capture and storage project in offshore Norway. A compositional reservoir simulation model was constructed for an entire section of the reservoir whose thickness is approximately 200 m. We used a fine grid system with a thickness of down to 0.2 m to capture thin intraformational mudrock barriers which can play an important role in the upward migration of injected CO2 as observed in 4D seismic datasets. The threshold capillary pressure and vertical permeability of these mudrock barriers were tuned to have nine separated CO2 plumes below the mudrock layers as observed in the corresponding seismic data. The mismatches in the CO2 plume between our simulation result and 4D seismic observation suggested further model tuning. The simulation was extended without further CO2 injection. During CO2 injection, the dominant storage mechanism was structural trapping, which was influenced by the properties of intraformational mudrock barriers. After the end of CO2 injection, the amount of residual gas trapping started to increase. The significant change in the storage mechanisms occurred during a period of 20 years after shut-in. At 100 years and onward, solubility trapping took effect with the decrease of residually trapped CO2. Mass diffusion of CO2 in formation brine controlled the degree of the invasion of CO2 into the cap rock over 1000 years of our simulation limit. 1.1\x Treibhausgas-Emissionen (DE-2867)14640-1 stw 1.2\x Klimaschutz (DE-2867)19481-5 stw Carbon capture and storage (CCS) CO Sleipner CCS project CO Compositional reservoir simulation Kuriyama, Takashi verfasserin aut Kato, Shigeru verfasserin aut Okabe, Hiroshi verfasserin (orcid)0000-0002-6829-2172 aut Enthalten in International journal of greenhouse gas control New York, NY [u.a.] : Elsevier, 2007 110 Online-Ressource (DE-627)531200302 (DE-600)2322650-X (DE-576)271361476 1878-0148 nnns volume:110 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 110
language	English
source	Enthalten in International journal of greenhouse gas control 110 volume:110
sourceStr	Enthalten in International journal of greenhouse gas control 110 volume:110
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Treibhausgas-Emissionen Klimaschutz Carbon capture and storage (CCS) CO Sleipner CCS project Compositional reservoir simulation
dewey-raw	333.7
isfreeaccess_bool	false
container_title	International journal of greenhouse gas control
authorswithroles_txt_mv	Akai, Takashi @@aut@@ Kuriyama, Takashi @@aut@@ Kato, Shigeru @@aut@@ Okabe, Hiroshi @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	531200302
dewey-sort	3333.7
id	ELV00657601X
language_de	englisch
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author	Akai, Takashi
spellingShingle	Akai, Takashi ddc 333.7 stw Treibhausgas-Emissionen stw Klimaschutz misc Carbon capture and storage (CCS) misc CO misc Sleipner CCS project misc Compositional reservoir simulation Numerical modelling of long-term CO
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topic_title	333.7 690 DE-600 Numerical modelling of long-term CO 1.1\x Treibhausgas-Emissionen (DE-2867)14640-1 stw 1.2\x Klimaschutz (DE-2867)19481-5 stw Carbon capture and storage (CCS) CO Sleipner CCS project Compositional reservoir simulation
topic	ddc 333.7 stw Treibhausgas-Emissionen stw Klimaschutz misc Carbon capture and storage (CCS) misc CO misc Sleipner CCS project misc Compositional reservoir simulation
topic_unstemmed	ddc 333.7 stw Treibhausgas-Emissionen stw Klimaschutz misc Carbon capture and storage (CCS) misc CO misc Sleipner CCS project misc Compositional reservoir simulation
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title	Numerical modelling of long-term CO
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title_full	Numerical modelling of long-term CO
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title_sort	numerical modelling of long-term co
title_auth	Numerical modelling of long-term CO
abstract	We present numerical modelling of long-term CO2 storage in saline aquifers using field dataset in the Sleipner carbon capture and storage project in offshore Norway. A compositional reservoir simulation model was constructed for an entire section of the reservoir whose thickness is approximately 200 m. We used a fine grid system with a thickness of down to 0.2 m to capture thin intraformational mudrock barriers which can play an important role in the upward migration of injected CO2 as observed in 4D seismic datasets. The threshold capillary pressure and vertical permeability of these mudrock barriers were tuned to have nine separated CO2 plumes below the mudrock layers as observed in the corresponding seismic data. The mismatches in the CO2 plume between our simulation result and 4D seismic observation suggested further model tuning. The simulation was extended without further CO2 injection. During CO2 injection, the dominant storage mechanism was structural trapping, which was influenced by the properties of intraformational mudrock barriers. After the end of CO2 injection, the amount of residual gas trapping started to increase. The significant change in the storage mechanisms occurred during a period of 20 years after shut-in. At 100 years and onward, solubility trapping took effect with the decrease of residually trapped CO2. Mass diffusion of CO2 in formation brine controlled the degree of the invasion of CO2 into the cap rock over 1000 years of our simulation limit.
abstractGer	We present numerical modelling of long-term CO2 storage in saline aquifers using field dataset in the Sleipner carbon capture and storage project in offshore Norway. A compositional reservoir simulation model was constructed for an entire section of the reservoir whose thickness is approximately 200 m. We used a fine grid system with a thickness of down to 0.2 m to capture thin intraformational mudrock barriers which can play an important role in the upward migration of injected CO2 as observed in 4D seismic datasets. The threshold capillary pressure and vertical permeability of these mudrock barriers were tuned to have nine separated CO2 plumes below the mudrock layers as observed in the corresponding seismic data. The mismatches in the CO2 plume between our simulation result and 4D seismic observation suggested further model tuning. The simulation was extended without further CO2 injection. During CO2 injection, the dominant storage mechanism was structural trapping, which was influenced by the properties of intraformational mudrock barriers. After the end of CO2 injection, the amount of residual gas trapping started to increase. The significant change in the storage mechanisms occurred during a period of 20 years after shut-in. At 100 years and onward, solubility trapping took effect with the decrease of residually trapped CO2. Mass diffusion of CO2 in formation brine controlled the degree of the invasion of CO2 into the cap rock over 1000 years of our simulation limit.
abstract_unstemmed	We present numerical modelling of long-term CO2 storage in saline aquifers using field dataset in the Sleipner carbon capture and storage project in offshore Norway. A compositional reservoir simulation model was constructed for an entire section of the reservoir whose thickness is approximately 200 m. We used a fine grid system with a thickness of down to 0.2 m to capture thin intraformational mudrock barriers which can play an important role in the upward migration of injected CO2 as observed in 4D seismic datasets. The threshold capillary pressure and vertical permeability of these mudrock barriers were tuned to have nine separated CO2 plumes below the mudrock layers as observed in the corresponding seismic data. The mismatches in the CO2 plume between our simulation result and 4D seismic observation suggested further model tuning. The simulation was extended without further CO2 injection. During CO2 injection, the dominant storage mechanism was structural trapping, which was influenced by the properties of intraformational mudrock barriers. After the end of CO2 injection, the amount of residual gas trapping started to increase. The significant change in the storage mechanisms occurred during a period of 20 years after shut-in. At 100 years and onward, solubility trapping took effect with the decrease of residually trapped CO2. Mass diffusion of CO2 in formation brine controlled the degree of the invasion of CO2 into the cap rock over 1000 years of our simulation limit.
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title_short	Numerical modelling of long-term CO
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author2	Kuriyama, Takashi Kato, Shigeru Okabe, Hiroshi
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up_date	2024-07-06T21:51:02.497Z
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Numerical modelling of long-term CO

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