Influence of polymer properties on selection of production strategy for a heavy oil field
Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil fiel...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lamas, Luís Fernando [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018transfer abstract |
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| Schlagwörter: |
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| Umfang: |
9 |
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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:163 ; year:2018 ; pages:110-118 ; extent:9 |
| Links: |
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| DOI / URN: |
10.1016/j.petrol.2017.12.074 |
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| Katalog-ID: |
ELV041898354 |
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| 520 | |a Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ... | ||
| 520 | |a Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ... | ||
| 650 | 7 | |a Reservoir engineering |2 Elsevier | |
| 650 | 7 | |a Reservoir management |2 Elsevier | |
| 650 | 7 | |a Reservoir numerical simulation |2 Elsevier | |
| 650 | 7 | |a Polymer flooding |2 Elsevier | |
| 650 | 7 | |a Production strategy selection |2 Elsevier | |
| 650 | 7 | |a Chemical enhanced oil recovery |2 Elsevier | |
| 700 | 1 | |a Botechia, Vinícius Eduardo |4 oth | |
| 700 | 1 | |a Correia, Manuel Gomes |4 oth | |
| 700 | 1 | |a Schiozer, Denis José |4 oth | |
| 700 | 1 | |a Delshad, Mojdeh |4 oth | |
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10.1016/j.petrol.2017.12.074 doi GBV00000000000556.pica (DE-627)ELV041898354 (ELSEVIER)S0920-4105(17)31031-8 DE-627 ger DE-627 rakwb eng 510 VZ 31.70 bkl Lamas, Luís Fernando verfasserin aut Influence of polymer properties on selection of production strategy for a heavy oil field 2018transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ... Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ... Reservoir engineering Elsevier Reservoir management Elsevier Reservoir numerical simulation Elsevier Polymer flooding Elsevier Production strategy selection Elsevier Chemical enhanced oil recovery Elsevier Botechia, Vinícius Eduardo oth Correia, Manuel Gomes oth Schiozer, Denis José oth Delshad, Mojdeh oth Enthalten in Elsevier Science Baccelli, Francois ELSEVIER Iterated Gilbert mosaics 2019 Amsterdam [u.a.] (DE-627)ELV008094314 volume:163 year:2018 pages:110-118 extent:9 https://doi.org/10.1016/j.petrol.2017.12.074 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 31.70 Wahrscheinlichkeitsrechnung VZ AR 163 2018 110-118 9 |
| spelling |
10.1016/j.petrol.2017.12.074 doi GBV00000000000556.pica (DE-627)ELV041898354 (ELSEVIER)S0920-4105(17)31031-8 DE-627 ger DE-627 rakwb eng 510 VZ 31.70 bkl Lamas, Luís Fernando verfasserin aut Influence of polymer properties on selection of production strategy for a heavy oil field 2018transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ... Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ... Reservoir engineering Elsevier Reservoir management Elsevier Reservoir numerical simulation Elsevier Polymer flooding Elsevier Production strategy selection Elsevier Chemical enhanced oil recovery Elsevier Botechia, Vinícius Eduardo oth Correia, Manuel Gomes oth Schiozer, Denis José oth Delshad, Mojdeh oth Enthalten in Elsevier Science Baccelli, Francois ELSEVIER Iterated Gilbert mosaics 2019 Amsterdam [u.a.] (DE-627)ELV008094314 volume:163 year:2018 pages:110-118 extent:9 https://doi.org/10.1016/j.petrol.2017.12.074 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 31.70 Wahrscheinlichkeitsrechnung VZ AR 163 2018 110-118 9 |
| allfields_unstemmed |
10.1016/j.petrol.2017.12.074 doi GBV00000000000556.pica (DE-627)ELV041898354 (ELSEVIER)S0920-4105(17)31031-8 DE-627 ger DE-627 rakwb eng 510 VZ 31.70 bkl Lamas, Luís Fernando verfasserin aut Influence of polymer properties on selection of production strategy for a heavy oil field 2018transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ... Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ... Reservoir engineering Elsevier Reservoir management Elsevier Reservoir numerical simulation Elsevier Polymer flooding Elsevier Production strategy selection Elsevier Chemical enhanced oil recovery Elsevier Botechia, Vinícius Eduardo oth Correia, Manuel Gomes oth Schiozer, Denis José oth Delshad, Mojdeh oth Enthalten in Elsevier Science Baccelli, Francois ELSEVIER Iterated Gilbert mosaics 2019 Amsterdam [u.a.] (DE-627)ELV008094314 volume:163 year:2018 pages:110-118 extent:9 https://doi.org/10.1016/j.petrol.2017.12.074 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 31.70 Wahrscheinlichkeitsrechnung VZ AR 163 2018 110-118 9 |
| allfieldsGer |
10.1016/j.petrol.2017.12.074 doi GBV00000000000556.pica (DE-627)ELV041898354 (ELSEVIER)S0920-4105(17)31031-8 DE-627 ger DE-627 rakwb eng 510 VZ 31.70 bkl Lamas, Luís Fernando verfasserin aut Influence of polymer properties on selection of production strategy for a heavy oil field 2018transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ... Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ... Reservoir engineering Elsevier Reservoir management Elsevier Reservoir numerical simulation Elsevier Polymer flooding Elsevier Production strategy selection Elsevier Chemical enhanced oil recovery Elsevier Botechia, Vinícius Eduardo oth Correia, Manuel Gomes oth Schiozer, Denis José oth Delshad, Mojdeh oth Enthalten in Elsevier Science Baccelli, Francois ELSEVIER Iterated Gilbert mosaics 2019 Amsterdam [u.a.] (DE-627)ELV008094314 volume:163 year:2018 pages:110-118 extent:9 https://doi.org/10.1016/j.petrol.2017.12.074 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 31.70 Wahrscheinlichkeitsrechnung VZ AR 163 2018 110-118 9 |
| allfieldsSound |
10.1016/j.petrol.2017.12.074 doi GBV00000000000556.pica (DE-627)ELV041898354 (ELSEVIER)S0920-4105(17)31031-8 DE-627 ger DE-627 rakwb eng 510 VZ 31.70 bkl Lamas, Luís Fernando verfasserin aut Influence of polymer properties on selection of production strategy for a heavy oil field 2018transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ... Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ... 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Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ... |
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Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ... |
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Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ... |
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Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ...</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Polymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy ...</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Reservoir engineering</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Reservoir management</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Reservoir numerical simulation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Polymer flooding</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Production strategy selection</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Chemical enhanced oil recovery</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Botechia, Vinícius Eduardo</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Correia, Manuel Gomes</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schiozer, Denis José</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Delshad, Mojdeh</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Baccelli, Francois ELSEVIER</subfield><subfield code="t">Iterated Gilbert mosaics</subfield><subfield code="d">2019</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV008094314</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:163</subfield><subfield code="g">year:2018</subfield><subfield code="g">pages:110-118</subfield><subfield code="g">extent:9</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.petrol.2017.12.074</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">31.70</subfield><subfield code="j">Wahrscheinlichkeitsrechnung</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">163</subfield><subfield code="j">2018</subfield><subfield code="h">110-118</subfield><subfield code="g">9</subfield></datafield></record></collection>
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