Sustainability and resilience-oriented prioritization of oil and gas produced water treatment technologies: A novel decision support system under circular intuitionistic fuzzy set
The transition towards sustainable water resources management (SWRM) needs for employing proper treatment technologies for pollutant removal from polluted waters and ensures the development in the dimensions of sustainability (including environmental, economic, technological, and social aspects) and...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Fetanat, Abdolvahhab [verfasserIn] Tayebi, Mohsen [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2022 |
|---|
| Schlagwörter: |
Circular intuitionistic fuzzy set |
|---|
| Übergeordnetes Werk: |
Enthalten in: No title available - 221 |
|---|---|
| Übergeordnetes Werk: |
volume:221 |
| DOI / URN: |
10.1016/j.geoen.2022.211379 |
|---|
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ELV060803363 |
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| 520 | |a The transition towards sustainable water resources management (SWRM) needs for employing proper treatment technologies for pollutant removal from polluted waters and ensures the development in the dimensions of sustainability (including environmental, economic, technological, and social aspects) and resilience in the region. Utilizing these technologies for treating waters produced by oil and gas fields in Behbahan city (in the southwest of Iran) is considered. The oil and gas produced water treatment technologies (OGPWTTs) can assist local authorities, governments, investors, and developers to reduce climate change, environmental pollution, the threats related to food security and public health, and construct sustainable communities. With the aim of balance between the issues in the context of sustainability and resilience policies, 20 criteria (principles) are considered. The research takes into consideration the applicability of a novel decision support system namely circular intuitionistic fuzzy set (CIFS)-based combinative distance-based assessment (CODAS). The CIFS-CODAS can be used to choose suitable technologies in a sustainable mode, considering the principles related to sustainability and resilience aspects. It comprises various technologies for the treatment of produced water from oil and gas extraction and production activities and prioritizes technologies for three steps of primary, secondary, and tertiary treatments as follows, respectively: API gravity separator technology, Adsorption technology, and MPPE technology. This work can be valuable and practical to manage produced water and help to achieve the purposes of environmental sustainability and a green future in the oil & gas industry. | ||
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10.1016/j.geoen.2022.211379 doi (DE-627)ELV060803363 (ELSEVIER)S2949-8910(22)00067-7 DE-627 ger DE-627 rda eng Fetanat, Abdolvahhab verfasserin (orcid)0000-0002-9660-4073 aut Sustainability and resilience-oriented prioritization of oil and gas produced water treatment technologies: A novel decision support system under circular intuitionistic fuzzy set 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The transition towards sustainable water resources management (SWRM) needs for employing proper treatment technologies for pollutant removal from polluted waters and ensures the development in the dimensions of sustainability (including environmental, economic, technological, and social aspects) and resilience in the region. Utilizing these technologies for treating waters produced by oil and gas fields in Behbahan city (in the southwest of Iran) is considered. The oil and gas produced water treatment technologies (OGPWTTs) can assist local authorities, governments, investors, and developers to reduce climate change, environmental pollution, the threats related to food security and public health, and construct sustainable communities. With the aim of balance between the issues in the context of sustainability and resilience policies, 20 criteria (principles) are considered. The research takes into consideration the applicability of a novel decision support system namely circular intuitionistic fuzzy set (CIFS)-based combinative distance-based assessment (CODAS). The CIFS-CODAS can be used to choose suitable technologies in a sustainable mode, considering the principles related to sustainability and resilience aspects. It comprises various technologies for the treatment of produced water from oil and gas extraction and production activities and prioritizes technologies for three steps of primary, secondary, and tertiary treatments as follows, respectively: API gravity separator technology, Adsorption technology, and MPPE technology. This work can be valuable and practical to manage produced water and help to achieve the purposes of environmental sustainability and a green future in the oil & gas industry. CODAS Circular intuitionistic fuzzy set Oil and gas produced water Treatment technology Sustainable water resources management Sustainability and resilience Tayebi, Mohsen verfasserin aut Enthalten in No title available 221 (DE-627)1863811214 2949-8910 nnns volume:221 GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 221 |
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10.1016/j.geoen.2022.211379 doi (DE-627)ELV060803363 (ELSEVIER)S2949-8910(22)00067-7 DE-627 ger DE-627 rda eng Fetanat, Abdolvahhab verfasserin (orcid)0000-0002-9660-4073 aut Sustainability and resilience-oriented prioritization of oil and gas produced water treatment technologies: A novel decision support system under circular intuitionistic fuzzy set 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The transition towards sustainable water resources management (SWRM) needs for employing proper treatment technologies for pollutant removal from polluted waters and ensures the development in the dimensions of sustainability (including environmental, economic, technological, and social aspects) and resilience in the region. Utilizing these technologies for treating waters produced by oil and gas fields in Behbahan city (in the southwest of Iran) is considered. The oil and gas produced water treatment technologies (OGPWTTs) can assist local authorities, governments, investors, and developers to reduce climate change, environmental pollution, the threats related to food security and public health, and construct sustainable communities. With the aim of balance between the issues in the context of sustainability and resilience policies, 20 criteria (principles) are considered. The research takes into consideration the applicability of a novel decision support system namely circular intuitionistic fuzzy set (CIFS)-based combinative distance-based assessment (CODAS). The CIFS-CODAS can be used to choose suitable technologies in a sustainable mode, considering the principles related to sustainability and resilience aspects. It comprises various technologies for the treatment of produced water from oil and gas extraction and production activities and prioritizes technologies for three steps of primary, secondary, and tertiary treatments as follows, respectively: API gravity separator technology, Adsorption technology, and MPPE technology. This work can be valuable and practical to manage produced water and help to achieve the purposes of environmental sustainability and a green future in the oil & gas industry. CODAS Circular intuitionistic fuzzy set Oil and gas produced water Treatment technology Sustainable water resources management Sustainability and resilience Tayebi, Mohsen verfasserin aut Enthalten in No title available 221 (DE-627)1863811214 2949-8910 nnns volume:221 GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 221 |
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10.1016/j.geoen.2022.211379 doi (DE-627)ELV060803363 (ELSEVIER)S2949-8910(22)00067-7 DE-627 ger DE-627 rda eng Fetanat, Abdolvahhab verfasserin (orcid)0000-0002-9660-4073 aut Sustainability and resilience-oriented prioritization of oil and gas produced water treatment technologies: A novel decision support system under circular intuitionistic fuzzy set 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The transition towards sustainable water resources management (SWRM) needs for employing proper treatment technologies for pollutant removal from polluted waters and ensures the development in the dimensions of sustainability (including environmental, economic, technological, and social aspects) and resilience in the region. Utilizing these technologies for treating waters produced by oil and gas fields in Behbahan city (in the southwest of Iran) is considered. The oil and gas produced water treatment technologies (OGPWTTs) can assist local authorities, governments, investors, and developers to reduce climate change, environmental pollution, the threats related to food security and public health, and construct sustainable communities. With the aim of balance between the issues in the context of sustainability and resilience policies, 20 criteria (principles) are considered. The research takes into consideration the applicability of a novel decision support system namely circular intuitionistic fuzzy set (CIFS)-based combinative distance-based assessment (CODAS). The CIFS-CODAS can be used to choose suitable technologies in a sustainable mode, considering the principles related to sustainability and resilience aspects. It comprises various technologies for the treatment of produced water from oil and gas extraction and production activities and prioritizes technologies for three steps of primary, secondary, and tertiary treatments as follows, respectively: API gravity separator technology, Adsorption technology, and MPPE technology. This work can be valuable and practical to manage produced water and help to achieve the purposes of environmental sustainability and a green future in the oil & gas industry. CODAS Circular intuitionistic fuzzy set Oil and gas produced water Treatment technology Sustainable water resources management Sustainability and resilience Tayebi, Mohsen verfasserin aut Enthalten in No title available 221 (DE-627)1863811214 2949-8910 nnns volume:221 GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 221 |
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10.1016/j.geoen.2022.211379 doi (DE-627)ELV060803363 (ELSEVIER)S2949-8910(22)00067-7 DE-627 ger DE-627 rda eng Fetanat, Abdolvahhab verfasserin (orcid)0000-0002-9660-4073 aut Sustainability and resilience-oriented prioritization of oil and gas produced water treatment technologies: A novel decision support system under circular intuitionistic fuzzy set 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The transition towards sustainable water resources management (SWRM) needs for employing proper treatment technologies for pollutant removal from polluted waters and ensures the development in the dimensions of sustainability (including environmental, economic, technological, and social aspects) and resilience in the region. Utilizing these technologies for treating waters produced by oil and gas fields in Behbahan city (in the southwest of Iran) is considered. The oil and gas produced water treatment technologies (OGPWTTs) can assist local authorities, governments, investors, and developers to reduce climate change, environmental pollution, the threats related to food security and public health, and construct sustainable communities. With the aim of balance between the issues in the context of sustainability and resilience policies, 20 criteria (principles) are considered. The research takes into consideration the applicability of a novel decision support system namely circular intuitionistic fuzzy set (CIFS)-based combinative distance-based assessment (CODAS). The CIFS-CODAS can be used to choose suitable technologies in a sustainable mode, considering the principles related to sustainability and resilience aspects. It comprises various technologies for the treatment of produced water from oil and gas extraction and production activities and prioritizes technologies for three steps of primary, secondary, and tertiary treatments as follows, respectively: API gravity separator technology, Adsorption technology, and MPPE technology. This work can be valuable and practical to manage produced water and help to achieve the purposes of environmental sustainability and a green future in the oil & gas industry. CODAS Circular intuitionistic fuzzy set Oil and gas produced water Treatment technology Sustainable water resources management Sustainability and resilience Tayebi, Mohsen verfasserin aut Enthalten in No title available 221 (DE-627)1863811214 2949-8910 nnns volume:221 GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 221 |
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10.1016/j.geoen.2022.211379 doi (DE-627)ELV060803363 (ELSEVIER)S2949-8910(22)00067-7 DE-627 ger DE-627 rda eng Fetanat, Abdolvahhab verfasserin (orcid)0000-0002-9660-4073 aut Sustainability and resilience-oriented prioritization of oil and gas produced water treatment technologies: A novel decision support system under circular intuitionistic fuzzy set 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The transition towards sustainable water resources management (SWRM) needs for employing proper treatment technologies for pollutant removal from polluted waters and ensures the development in the dimensions of sustainability (including environmental, economic, technological, and social aspects) and resilience in the region. Utilizing these technologies for treating waters produced by oil and gas fields in Behbahan city (in the southwest of Iran) is considered. The oil and gas produced water treatment technologies (OGPWTTs) can assist local authorities, governments, investors, and developers to reduce climate change, environmental pollution, the threats related to food security and public health, and construct sustainable communities. With the aim of balance between the issues in the context of sustainability and resilience policies, 20 criteria (principles) are considered. The research takes into consideration the applicability of a novel decision support system namely circular intuitionistic fuzzy set (CIFS)-based combinative distance-based assessment (CODAS). The CIFS-CODAS can be used to choose suitable technologies in a sustainable mode, considering the principles related to sustainability and resilience aspects. It comprises various technologies for the treatment of produced water from oil and gas extraction and production activities and prioritizes technologies for three steps of primary, secondary, and tertiary treatments as follows, respectively: API gravity separator technology, Adsorption technology, and MPPE technology. This work can be valuable and practical to manage produced water and help to achieve the purposes of environmental sustainability and a green future in the oil & gas industry. CODAS Circular intuitionistic fuzzy set Oil and gas produced water Treatment technology Sustainable water resources management Sustainability and resilience Tayebi, Mohsen verfasserin aut Enthalten in No title available 221 (DE-627)1863811214 2949-8910 nnns volume:221 GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 221 |
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The transition towards sustainable water resources management (SWRM) needs for employing proper treatment technologies for pollutant removal from polluted waters and ensures the development in the dimensions of sustainability (including environmental, economic, technological, and social aspects) and resilience in the region. Utilizing these technologies for treating waters produced by oil and gas fields in Behbahan city (in the southwest of Iran) is considered. The oil and gas produced water treatment technologies (OGPWTTs) can assist local authorities, governments, investors, and developers to reduce climate change, environmental pollution, the threats related to food security and public health, and construct sustainable communities. With the aim of balance between the issues in the context of sustainability and resilience policies, 20 criteria (principles) are considered. The research takes into consideration the applicability of a novel decision support system namely circular intuitionistic fuzzy set (CIFS)-based combinative distance-based assessment (CODAS). The CIFS-CODAS can be used to choose suitable technologies in a sustainable mode, considering the principles related to sustainability and resilience aspects. It comprises various technologies for the treatment of produced water from oil and gas extraction and production activities and prioritizes technologies for three steps of primary, secondary, and tertiary treatments as follows, respectively: API gravity separator technology, Adsorption technology, and MPPE technology. This work can be valuable and practical to manage produced water and help to achieve the purposes of environmental sustainability and a green future in the oil & gas industry. |
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The transition towards sustainable water resources management (SWRM) needs for employing proper treatment technologies for pollutant removal from polluted waters and ensures the development in the dimensions of sustainability (including environmental, economic, technological, and social aspects) and resilience in the region. Utilizing these technologies for treating waters produced by oil and gas fields in Behbahan city (in the southwest of Iran) is considered. The oil and gas produced water treatment technologies (OGPWTTs) can assist local authorities, governments, investors, and developers to reduce climate change, environmental pollution, the threats related to food security and public health, and construct sustainable communities. With the aim of balance between the issues in the context of sustainability and resilience policies, 20 criteria (principles) are considered. The research takes into consideration the applicability of a novel decision support system namely circular intuitionistic fuzzy set (CIFS)-based combinative distance-based assessment (CODAS). The CIFS-CODAS can be used to choose suitable technologies in a sustainable mode, considering the principles related to sustainability and resilience aspects. It comprises various technologies for the treatment of produced water from oil and gas extraction and production activities and prioritizes technologies for three steps of primary, secondary, and tertiary treatments as follows, respectively: API gravity separator technology, Adsorption technology, and MPPE technology. This work can be valuable and practical to manage produced water and help to achieve the purposes of environmental sustainability and a green future in the oil & gas industry. |
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The transition towards sustainable water resources management (SWRM) needs for employing proper treatment technologies for pollutant removal from polluted waters and ensures the development in the dimensions of sustainability (including environmental, economic, technological, and social aspects) and resilience in the region. Utilizing these technologies for treating waters produced by oil and gas fields in Behbahan city (in the southwest of Iran) is considered. The oil and gas produced water treatment technologies (OGPWTTs) can assist local authorities, governments, investors, and developers to reduce climate change, environmental pollution, the threats related to food security and public health, and construct sustainable communities. With the aim of balance between the issues in the context of sustainability and resilience policies, 20 criteria (principles) are considered. The research takes into consideration the applicability of a novel decision support system namely circular intuitionistic fuzzy set (CIFS)-based combinative distance-based assessment (CODAS). The CIFS-CODAS can be used to choose suitable technologies in a sustainable mode, considering the principles related to sustainability and resilience aspects. It comprises various technologies for the treatment of produced water from oil and gas extraction and production activities and prioritizes technologies for three steps of primary, secondary, and tertiary treatments as follows, respectively: API gravity separator technology, Adsorption technology, and MPPE technology. This work can be valuable and practical to manage produced water and help to achieve the purposes of environmental sustainability and a green future in the oil & gas industry. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">ELV060803363</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230723073148.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230723s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.geoen.2022.211379</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV060803363</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S2949-8910(22)00067-7</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Fetanat, Abdolvahhab</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-9660-4073</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Sustainability and resilience-oriented prioritization of oil and gas produced water treatment technologies: A novel decision support system under circular intuitionistic fuzzy set</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The transition towards sustainable water resources management (SWRM) needs for employing proper treatment technologies for pollutant removal from polluted waters and ensures the development in the dimensions of sustainability (including environmental, economic, technological, and social aspects) and resilience in the region. Utilizing these technologies for treating waters produced by oil and gas fields in Behbahan city (in the southwest of Iran) is considered. The oil and gas produced water treatment technologies (OGPWTTs) can assist local authorities, governments, investors, and developers to reduce climate change, environmental pollution, the threats related to food security and public health, and construct sustainable communities. With the aim of balance between the issues in the context of sustainability and resilience policies, 20 criteria (principles) are considered. The research takes into consideration the applicability of a novel decision support system namely circular intuitionistic fuzzy set (CIFS)-based combinative distance-based assessment (CODAS). The CIFS-CODAS can be used to choose suitable technologies in a sustainable mode, considering the principles related to sustainability and resilience aspects. It comprises various technologies for the treatment of produced water from oil and gas extraction and production activities and prioritizes technologies for three steps of primary, secondary, and tertiary treatments as follows, respectively: API gravity separator technology, Adsorption technology, and MPPE technology. This work can be valuable and practical to manage produced water and help to achieve the purposes of environmental sustainability and a green future in the oil & gas industry.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">CODAS</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Circular intuitionistic fuzzy set</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Oil and gas produced water</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Treatment technology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sustainable water resources management</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sustainability and resilience</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tayebi, Mohsen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">No title available</subfield><subfield code="g">221</subfield><subfield code="w">(DE-627)1863811214</subfield><subfield code="x">2949-8910</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:221</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="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">221</subfield></datafield></record></collection>
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