Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm
Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeabil...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Fayazi, Amir [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
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| Schlagwörter: |
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| Umfang: |
10 |
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| Übergeordnetes Werk: |
Enthalten in: Iterated Gilbert mosaics - Baccelli, Francois ELSEVIER, 2019, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:140 ; year:2016 ; pages:154-163 ; extent:10 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.petrol.2016.01.013 |
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| Katalog-ID: |
ELV024581984 |
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| 245 | 1 | 0 | |a Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm |
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| 520 | |a Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match. | ||
| 520 | |a Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match. | ||
| 650 | 7 | |a Relative permeability |2 Elsevier | |
| 650 | 7 | |a Pseudo function |2 Elsevier | |
| 650 | 7 | |a B-spline |2 Elsevier | |
| 650 | 7 | |a Upscaling |2 Elsevier | |
| 650 | 7 | |a History match |2 Elsevier | |
| 700 | 1 | |a Bagherzadeh, Hadi |4 oth | |
| 700 | 1 | |a Shahrabadi, Abbas |4 oth | |
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10.1016/j.petrol.2016.01.013 doi GBVA2016014000015.pica (DE-627)ELV024581984 (ELSEVIER)S0920-4105(16)30013-4 DE-627 ger DE-627 rakwb eng 660 660 DE-600 510 VZ 31.70 bkl Fayazi, Amir verfasserin aut Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm 2016transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match. Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match. Relative permeability Elsevier Pseudo function Elsevier B-spline Elsevier Upscaling Elsevier History match Elsevier Bagherzadeh, Hadi oth Shahrabadi, Abbas oth Enthalten in Elsevier Science Baccelli, Francois ELSEVIER Iterated Gilbert mosaics 2019 Amsterdam [u.a.] (DE-627)ELV008094314 volume:140 year:2016 pages:154-163 extent:10 https://doi.org/10.1016/j.petrol.2016.01.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 31.70 Wahrscheinlichkeitsrechnung VZ AR 140 2016 154-163 10 045F 660 |
| spelling |
10.1016/j.petrol.2016.01.013 doi GBVA2016014000015.pica (DE-627)ELV024581984 (ELSEVIER)S0920-4105(16)30013-4 DE-627 ger DE-627 rakwb eng 660 660 DE-600 510 VZ 31.70 bkl Fayazi, Amir verfasserin aut Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm 2016transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match. Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match. Relative permeability Elsevier Pseudo function Elsevier B-spline Elsevier Upscaling Elsevier History match Elsevier Bagherzadeh, Hadi oth Shahrabadi, Abbas oth Enthalten in Elsevier Science Baccelli, Francois ELSEVIER Iterated Gilbert mosaics 2019 Amsterdam [u.a.] (DE-627)ELV008094314 volume:140 year:2016 pages:154-163 extent:10 https://doi.org/10.1016/j.petrol.2016.01.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 31.70 Wahrscheinlichkeitsrechnung VZ AR 140 2016 154-163 10 045F 660 |
| allfields_unstemmed |
10.1016/j.petrol.2016.01.013 doi GBVA2016014000015.pica (DE-627)ELV024581984 (ELSEVIER)S0920-4105(16)30013-4 DE-627 ger DE-627 rakwb eng 660 660 DE-600 510 VZ 31.70 bkl Fayazi, Amir verfasserin aut Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm 2016transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match. Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match. Relative permeability Elsevier Pseudo function Elsevier B-spline Elsevier Upscaling Elsevier History match Elsevier Bagherzadeh, Hadi oth Shahrabadi, Abbas oth Enthalten in Elsevier Science Baccelli, Francois ELSEVIER Iterated Gilbert mosaics 2019 Amsterdam [u.a.] (DE-627)ELV008094314 volume:140 year:2016 pages:154-163 extent:10 https://doi.org/10.1016/j.petrol.2016.01.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 31.70 Wahrscheinlichkeitsrechnung VZ AR 140 2016 154-163 10 045F 660 |
| allfieldsGer |
10.1016/j.petrol.2016.01.013 doi GBVA2016014000015.pica (DE-627)ELV024581984 (ELSEVIER)S0920-4105(16)30013-4 DE-627 ger DE-627 rakwb eng 660 660 DE-600 510 VZ 31.70 bkl Fayazi, Amir verfasserin aut Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm 2016transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match. Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match. Relative permeability Elsevier Pseudo function Elsevier B-spline Elsevier Upscaling Elsevier History match Elsevier Bagherzadeh, Hadi oth Shahrabadi, Abbas oth Enthalten in Elsevier Science Baccelli, Francois ELSEVIER Iterated Gilbert mosaics 2019 Amsterdam [u.a.] (DE-627)ELV008094314 volume:140 year:2016 pages:154-163 extent:10 https://doi.org/10.1016/j.petrol.2016.01.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 31.70 Wahrscheinlichkeitsrechnung VZ AR 140 2016 154-163 10 045F 660 |
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10.1016/j.petrol.2016.01.013 doi GBVA2016014000015.pica (DE-627)ELV024581984 (ELSEVIER)S0920-4105(16)30013-4 DE-627 ger DE-627 rakwb eng 660 660 DE-600 510 VZ 31.70 bkl Fayazi, Amir verfasserin aut Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm 2016transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match. Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match. Relative permeability Elsevier Pseudo function Elsevier B-spline Elsevier Upscaling Elsevier History match Elsevier Bagherzadeh, Hadi oth Shahrabadi, Abbas oth Enthalten in Elsevier Science Baccelli, Francois ELSEVIER Iterated Gilbert mosaics 2019 Amsterdam [u.a.] (DE-627)ELV008094314 volume:140 year:2016 pages:154-163 extent:10 https://doi.org/10.1016/j.petrol.2016.01.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 31.70 Wahrscheinlichkeitsrechnung VZ AR 140 2016 154-163 10 045F 660 |
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Enthalten in Iterated Gilbert mosaics Amsterdam [u.a.] volume:140 year:2016 pages:154-163 extent:10 |
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Fayazi, Amir |
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Fayazi, Amir ddc 660 ddc 510 bkl 31.70 Elsevier Relative permeability Elsevier Pseudo function Elsevier B-spline Elsevier Upscaling Elsevier History match Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm |
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660 660 DE-600 510 VZ 31.70 bkl Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm Relative permeability Elsevier Pseudo function Elsevier B-spline Elsevier Upscaling Elsevier History match Elsevier |
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ddc 660 ddc 510 bkl 31.70 Elsevier Relative permeability Elsevier Pseudo function Elsevier B-spline Elsevier Upscaling Elsevier History match |
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Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm |
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Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm |
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Fayazi, Amir |
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estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm |
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Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm |
| abstract |
Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match. |
| abstractGer |
Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match. |
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Reliable relative permeability curves are important for successful reservoir simulation and modeling. These curves may be available on fine scale models. However, detailed descriptions demand a huge amount of memory and processing time. Therefore, it is needed to upscale core-size relative permeability curves measured by laboratory experiments to a scale suitable for the various types of simulation. This upscaling is accomplished with pseudo functions. In this work, a new automatic history matching algorithm based on B-spline representation was applied to estimate pseudo relative permeability curves. The performance of the generated pseudo curves were compared with four dynamic pseudo functions for a 3D heterogeneous water-flooding case. In addition, the effect of the pseudo function estimation uncertainty on the cumulative oil production was investigated after 10 years of production. Results revealed that relative permeability curves obtained from history matching gives the best performance among other pseudos and this methodology can be used for reservoir simulation over periods beyond that of the original match. |
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Estimation of pseudo relative permeability curves for a heterogeneous reservoir with a new automatic history matching algorithm |
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