Modelling the low-frequency electrical properties of pyrite-bearing reservoir sandstones
Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock e...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Han, Tongcheng [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015transfer abstract |
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| Schlagwörter: |
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| Umfang: |
11 |
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| Übergeordnetes Werk: |
Enthalten in: Honesty-Humility and unethical behavior in adolescents: The mediating role of moral disengagement and the moderating role of system justification - Guo, Zhen ELSEVIER, 2021, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:68 ; year:2015 ; pages:341-351 ; extent:11 |
| Links: |
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| DOI / URN: |
10.1016/j.marpetgeo.2015.08.037 |
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ELV018372546 |
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| 520 | |a Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock electrical conductivity to the electrical properties and microstructure of the rock constituents, especially when some of the constituents exhibit extreme electrical behaviours (e.g., pyrite, a common mineral associated with reservoir rocks). Based on the multi-phase incremental model validated on published experimentally measured electrical conductivity of pyrite-bearing sandstones, the effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses were comprehensively studied. The results are expected to assist in the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future. | ||
| 520 | |a Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock electrical conductivity to the electrical properties and microstructure of the rock constituents, especially when some of the constituents exhibit extreme electrical behaviours (e.g., pyrite, a common mineral associated with reservoir rocks). Based on the multi-phase incremental model validated on published experimentally measured electrical conductivity of pyrite-bearing sandstones, the effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses were comprehensively studied. The results are expected to assist in the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future. | ||
| 650 | 7 | |a Electrical conductivity |2 Elsevier | |
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| 650 | 7 | |a Sandstone |2 Elsevier | |
| 700 | 1 | |a Clennell, Michael Ben |4 oth | |
| 700 | 1 | |a Pervukhina, Marina |4 oth | |
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10.1016/j.marpetgeo.2015.08.037 doi GBVA2015008000007.pica (DE-627)ELV018372546 (ELSEVIER)S0264-8172(15)30087-8 DE-627 ger DE-627 rakwb eng 550 550 DE-600 610 VZ 44.67 bkl Han, Tongcheng verfasserin aut Modelling the low-frequency electrical properties of pyrite-bearing reservoir sandstones 2015transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock electrical conductivity to the electrical properties and microstructure of the rock constituents, especially when some of the constituents exhibit extreme electrical behaviours (e.g., pyrite, a common mineral associated with reservoir rocks). Based on the multi-phase incremental model validated on published experimentally measured electrical conductivity of pyrite-bearing sandstones, the effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses were comprehensively studied. The results are expected to assist in the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future. Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock electrical conductivity to the electrical properties and microstructure of the rock constituents, especially when some of the constituents exhibit extreme electrical behaviours (e.g., pyrite, a common mineral associated with reservoir rocks). Based on the multi-phase incremental model validated on published experimentally measured electrical conductivity of pyrite-bearing sandstones, the effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses were comprehensively studied. The results are expected to assist in the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future. Electrical conductivity Elsevier Pyrite Elsevier CSEM Elsevier Low-frequency Elsevier Sandstone Elsevier Clennell, Michael Ben oth Pervukhina, Marina oth Enthalten in Elsevier Science Guo, Zhen ELSEVIER Honesty-Humility and unethical behavior in adolescents: The mediating role of moral disengagement and the moderating role of system justification 2021 Amsterdam [u.a.] (DE-627)ELV006295584 volume:68 year:2015 pages:341-351 extent:11 https://doi.org/10.1016/j.marpetgeo.2015.08.037 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 44.67 Kinderheilkunde VZ AR 68 2015 341-351 11 045F 550 |
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10.1016/j.marpetgeo.2015.08.037 doi GBVA2015008000007.pica (DE-627)ELV018372546 (ELSEVIER)S0264-8172(15)30087-8 DE-627 ger DE-627 rakwb eng 550 550 DE-600 610 VZ 44.67 bkl Han, Tongcheng verfasserin aut Modelling the low-frequency electrical properties of pyrite-bearing reservoir sandstones 2015transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock electrical conductivity to the electrical properties and microstructure of the rock constituents, especially when some of the constituents exhibit extreme electrical behaviours (e.g., pyrite, a common mineral associated with reservoir rocks). Based on the multi-phase incremental model validated on published experimentally measured electrical conductivity of pyrite-bearing sandstones, the effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses were comprehensively studied. The results are expected to assist in the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future. Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock electrical conductivity to the electrical properties and microstructure of the rock constituents, especially when some of the constituents exhibit extreme electrical behaviours (e.g., pyrite, a common mineral associated with reservoir rocks). Based on the multi-phase incremental model validated on published experimentally measured electrical conductivity of pyrite-bearing sandstones, the effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses were comprehensively studied. The results are expected to assist in the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future. Electrical conductivity Elsevier Pyrite Elsevier CSEM Elsevier Low-frequency Elsevier Sandstone Elsevier Clennell, Michael Ben oth Pervukhina, Marina oth Enthalten in Elsevier Science Guo, Zhen ELSEVIER Honesty-Humility and unethical behavior in adolescents: The mediating role of moral disengagement and the moderating role of system justification 2021 Amsterdam [u.a.] (DE-627)ELV006295584 volume:68 year:2015 pages:341-351 extent:11 https://doi.org/10.1016/j.marpetgeo.2015.08.037 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 44.67 Kinderheilkunde VZ AR 68 2015 341-351 11 045F 550 |
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10.1016/j.marpetgeo.2015.08.037 doi GBVA2015008000007.pica (DE-627)ELV018372546 (ELSEVIER)S0264-8172(15)30087-8 DE-627 ger DE-627 rakwb eng 550 550 DE-600 610 VZ 44.67 bkl Han, Tongcheng verfasserin aut Modelling the low-frequency electrical properties of pyrite-bearing reservoir sandstones 2015transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock electrical conductivity to the electrical properties and microstructure of the rock constituents, especially when some of the constituents exhibit extreme electrical behaviours (e.g., pyrite, a common mineral associated with reservoir rocks). Based on the multi-phase incremental model validated on published experimentally measured electrical conductivity of pyrite-bearing sandstones, the effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses were comprehensively studied. The results are expected to assist in the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future. Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock electrical conductivity to the electrical properties and microstructure of the rock constituents, especially when some of the constituents exhibit extreme electrical behaviours (e.g., pyrite, a common mineral associated with reservoir rocks). Based on the multi-phase incremental model validated on published experimentally measured electrical conductivity of pyrite-bearing sandstones, the effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses were comprehensively studied. The results are expected to assist in the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future. Electrical conductivity Elsevier Pyrite Elsevier CSEM Elsevier Low-frequency Elsevier Sandstone Elsevier Clennell, Michael Ben oth Pervukhina, Marina oth Enthalten in Elsevier Science Guo, Zhen ELSEVIER Honesty-Humility and unethical behavior in adolescents: The mediating role of moral disengagement and the moderating role of system justification 2021 Amsterdam [u.a.] (DE-627)ELV006295584 volume:68 year:2015 pages:341-351 extent:11 https://doi.org/10.1016/j.marpetgeo.2015.08.037 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 44.67 Kinderheilkunde VZ AR 68 2015 341-351 11 045F 550 |
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10.1016/j.marpetgeo.2015.08.037 doi GBVA2015008000007.pica (DE-627)ELV018372546 (ELSEVIER)S0264-8172(15)30087-8 DE-627 ger DE-627 rakwb eng 550 550 DE-600 610 VZ 44.67 bkl Han, Tongcheng verfasserin aut Modelling the low-frequency electrical properties of pyrite-bearing reservoir sandstones 2015transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock electrical conductivity to the electrical properties and microstructure of the rock constituents, especially when some of the constituents exhibit extreme electrical behaviours (e.g., pyrite, a common mineral associated with reservoir rocks). Based on the multi-phase incremental model validated on published experimentally measured electrical conductivity of pyrite-bearing sandstones, the effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses were comprehensively studied. The results are expected to assist in the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future. Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock electrical conductivity to the electrical properties and microstructure of the rock constituents, especially when some of the constituents exhibit extreme electrical behaviours (e.g., pyrite, a common mineral associated with reservoir rocks). Based on the multi-phase incremental model validated on published experimentally measured electrical conductivity of pyrite-bearing sandstones, the effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses were comprehensively studied. The results are expected to assist in the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future. Electrical conductivity Elsevier Pyrite Elsevier CSEM Elsevier Low-frequency Elsevier Sandstone Elsevier Clennell, Michael Ben oth Pervukhina, Marina oth Enthalten in Elsevier Science Guo, Zhen ELSEVIER Honesty-Humility and unethical behavior in adolescents: The mediating role of moral disengagement and the moderating role of system justification 2021 Amsterdam [u.a.] (DE-627)ELV006295584 volume:68 year:2015 pages:341-351 extent:11 https://doi.org/10.1016/j.marpetgeo.2015.08.037 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 44.67 Kinderheilkunde VZ AR 68 2015 341-351 11 045F 550 |
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10.1016/j.marpetgeo.2015.08.037 doi GBVA2015008000007.pica (DE-627)ELV018372546 (ELSEVIER)S0264-8172(15)30087-8 DE-627 ger DE-627 rakwb eng 550 550 DE-600 610 VZ 44.67 bkl Han, Tongcheng verfasserin aut Modelling the low-frequency electrical properties of pyrite-bearing reservoir sandstones 2015transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock electrical conductivity to the electrical properties and microstructure of the rock constituents, especially when some of the constituents exhibit extreme electrical behaviours (e.g., pyrite, a common mineral associated with reservoir rocks). Based on the multi-phase incremental model validated on published experimentally measured electrical conductivity of pyrite-bearing sandstones, the effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses were comprehensively studied. The results are expected to assist in the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future. Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock electrical conductivity to the electrical properties and microstructure of the rock constituents, especially when some of the constituents exhibit extreme electrical behaviours (e.g., pyrite, a common mineral associated with reservoir rocks). Based on the multi-phase incremental model validated on published experimentally measured electrical conductivity of pyrite-bearing sandstones, the effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses were comprehensively studied. The results are expected to assist in the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future. Electrical conductivity Elsevier Pyrite Elsevier CSEM Elsevier Low-frequency Elsevier Sandstone Elsevier Clennell, Michael Ben oth Pervukhina, Marina oth Enthalten in Elsevier Science Guo, Zhen ELSEVIER Honesty-Humility and unethical behavior in adolescents: The mediating role of moral disengagement and the moderating role of system justification 2021 Amsterdam [u.a.] (DE-627)ELV006295584 volume:68 year:2015 pages:341-351 extent:11 https://doi.org/10.1016/j.marpetgeo.2015.08.037 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 44.67 Kinderheilkunde VZ AR 68 2015 341-351 11 045F 550 |
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Honesty-Humility and unethical behavior in adolescents: The mediating role of moral disengagement and the moderating role of system justification |
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Honesty-Humility and unethical behavior in adolescents: The mediating role of moral disengagement and the moderating role of system justification |
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Modelling the low-frequency electrical properties of pyrite-bearing reservoir sandstones |
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Modelling the low-frequency electrical properties of pyrite-bearing reservoir sandstones |
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Han, Tongcheng |
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Honesty-Humility and unethical behavior in adolescents: The mediating role of moral disengagement and the moderating role of system justification |
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Honesty-Humility and unethical behavior in adolescents: The mediating role of moral disengagement and the moderating role of system justification |
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modelling the low-frequency electrical properties of pyrite-bearing reservoir sandstones |
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Modelling the low-frequency electrical properties of pyrite-bearing reservoir sandstones |
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Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock electrical conductivity to the electrical properties and microstructure of the rock constituents, especially when some of the constituents exhibit extreme electrical behaviours (e.g., pyrite, a common mineral associated with reservoir rocks). Based on the multi-phase incremental model validated on published experimentally measured electrical conductivity of pyrite-bearing sandstones, the effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses were comprehensively studied. The results are expected to assist in the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future. |
| abstractGer |
Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock electrical conductivity to the electrical properties and microstructure of the rock constituents, especially when some of the constituents exhibit extreme electrical behaviours (e.g., pyrite, a common mineral associated with reservoir rocks). Based on the multi-phase incremental model validated on published experimentally measured electrical conductivity of pyrite-bearing sandstones, the effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses were comprehensively studied. The results are expected to assist in the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future. |
| abstract_unstemmed |
Marine controlled source electromagnetic sounding has developed rapidly in recent years to complement conventional seismic method for better discrimination of pore fluid. To obtain quantitative and reliable interpretation of the CSEM data, a robust rock physics model is vital to link the bulk rock electrical conductivity to the electrical properties and microstructure of the rock constituents, especially when some of the constituents exhibit extreme electrical behaviours (e.g., pyrite, a common mineral associated with reservoir rocks). Based on the multi-phase incremental model validated on published experimentally measured electrical conductivity of pyrite-bearing sandstones, the effects of key parameters, i.e., pyrite content, porosity, pyrite conductivity, grain aspect ratio and water saturation on the electrical conductivity of pyrite-bearing sandstones and their corresponding CSEM responses were comprehensively studied. The results are expected to assist in the CSEM data interpretation when a pyrite-bearing sandstone reservoir is encountered in the future. |
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Modelling the low-frequency electrical properties of pyrite-bearing reservoir sandstones |
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Clennell, Michael Ben Pervukhina, Marina |
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