Response surface methodology for optimizing crude oil desalting unit performance in iraq
Emulsions in petroleum production pose challenges like equipment corrosion, pipeline pressure drops, pumping costs, and catalyst poisoning, leading to increased production costs and technical and environmental issues. The complexity of emulsions necessitates using cost-effective and efficient de-emu...
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Veröffentlicht in: | Chemical papers 2024-10, Vol.78 (17), p.9091-9102 |
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creator | Alardhi, Saja M. Mohsen, Ali M. Breig, Sura J. Mohammed Jabbar, Noor M. Alfaker, Mohamad J. Salman, Ali D. Kareem, Karrar O. Abd, Ali M. AlJaberi, Forat Y. |
description | Emulsions in petroleum production pose challenges like equipment corrosion, pipeline pressure drops, pumping costs, and catalyst poisoning, leading to increased production costs and technical and environmental issues. The complexity of emulsions necessitates using cost-effective and efficient de-emulsifiers for effective treatment. Desalting units are often installed in crude oil production units to remove water-soluble salts from an oil stream. To optimize this process, the desalting unit should be modeled. The research employs Response Surface Methodology (RSM) to analyze the efficiency of the desalting unit based on various input parameters. The result shows that the mentioned model agrees with the experimental data. The experiments were designed using response surface methodology; these parameters and their interaction are significant, and determination coefficient R
2
for water content and salt concentration equal 0.9246 and 0.9901 in respective in addition difference between R
adj
and R
pred
less than 0.2 for two responses, R
adj
and R
pred
for water content 0.8491 and0.6082 and salt concentration 0.9803 and 0.9464, respectively. The result revealed that minimum water content of 0.03%(V/V) and salt concentration of 85 ppm, which agreement with predicted responses, was 0.05%v/v and 70 ppm, respectively, when the temperature was 45.1 °C, API 29, initial water content was 2.07 and initial salt concentration was 5344.04, respectively. |
doi_str_mv | 10.1007/s11696-024-03729-3 |
format | Article |
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2
for water content and salt concentration equal 0.9246 and 0.9901 in respective in addition difference between R
adj
and R
pred
less than 0.2 for two responses, R
adj
and R
pred
for water content 0.8491 and0.6082 and salt concentration 0.9803 and 0.9464, respectively. The result revealed that minimum water content of 0.03%(V/V) and salt concentration of 85 ppm, which agreement with predicted responses, was 0.05%v/v and 70 ppm, respectively, when the temperature was 45.1 °C, API 29, initial water content was 2.07 and initial salt concentration was 5344.04, respectively.</description><identifier>ISSN: 0366-6352</identifier><identifier>EISSN: 2585-7290</identifier><identifier>EISSN: 1336-9075</identifier><identifier>DOI: 10.1007/s11696-024-03729-3</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Biochemistry ; Biotechnology ; Chemistry ; Chemistry and Materials Science ; Chemistry/Food Science ; Corrosion products ; Crude oil ; Desalination ; Emulsions ; Industrial Chemistry/Chemical Engineering ; Materials Science ; Medicinal Chemistry ; Moisture content ; Optimization ; Original Paper ; Parameters ; Pressure drop ; Production costs ; Response surface methodology</subject><ispartof>Chemical papers, 2024-10, Vol.78 (17), p.9091-9102</ispartof><rights>The Author(s), under exclusive licence to the Institute of Chemistry, Slovak Academy of Sciences 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c200t-9580872696c08b0b40d8ba1cb54832b7251f31e98808f94ec53c4b8398c8acca3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11696-024-03729-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11696-024-03729-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27928,27929,41492,42561,51323</link.rule.ids></links><search><creatorcontrib>Alardhi, Saja M.</creatorcontrib><creatorcontrib>Mohsen, Ali M.</creatorcontrib><creatorcontrib>Breig, Sura J. Mohammed</creatorcontrib><creatorcontrib>Jabbar, Noor M.</creatorcontrib><creatorcontrib>Alfaker, Mohamad J.</creatorcontrib><creatorcontrib>Salman, Ali D.</creatorcontrib><creatorcontrib>Kareem, Karrar O.</creatorcontrib><creatorcontrib>Abd, Ali M.</creatorcontrib><creatorcontrib>AlJaberi, Forat Y.</creatorcontrib><title>Response surface methodology for optimizing crude oil desalting unit performance in iraq</title><title>Chemical papers</title><addtitle>Chem. Pap</addtitle><description>Emulsions in petroleum production pose challenges like equipment corrosion, pipeline pressure drops, pumping costs, and catalyst poisoning, leading to increased production costs and technical and environmental issues. The complexity of emulsions necessitates using cost-effective and efficient de-emulsifiers for effective treatment. Desalting units are often installed in crude oil production units to remove water-soluble salts from an oil stream. To optimize this process, the desalting unit should be modeled. The research employs Response Surface Methodology (RSM) to analyze the efficiency of the desalting unit based on various input parameters. The result shows that the mentioned model agrees with the experimental data. The experiments were designed using response surface methodology; these parameters and their interaction are significant, and determination coefficient R
2
for water content and salt concentration equal 0.9246 and 0.9901 in respective in addition difference between R
adj
and R
pred
less than 0.2 for two responses, R
adj
and R
pred
for water content 0.8491 and0.6082 and salt concentration 0.9803 and 0.9464, respectively. The result revealed that minimum water content of 0.03%(V/V) and salt concentration of 85 ppm, which agreement with predicted responses, was 0.05%v/v and 70 ppm, respectively, when the temperature was 45.1 °C, API 29, initial water content was 2.07 and initial salt concentration was 5344.04, respectively.</description><subject>Biochemistry</subject><subject>Biotechnology</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Chemistry/Food Science</subject><subject>Corrosion products</subject><subject>Crude oil</subject><subject>Desalination</subject><subject>Emulsions</subject><subject>Industrial Chemistry/Chemical Engineering</subject><subject>Materials Science</subject><subject>Medicinal Chemistry</subject><subject>Moisture content</subject><subject>Optimization</subject><subject>Original Paper</subject><subject>Parameters</subject><subject>Pressure drop</subject><subject>Production costs</subject><subject>Response surface methodology</subject><issn>0366-6352</issn><issn>2585-7290</issn><issn>1336-9075</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LxDAQhoMouK7-AU8Bz9HJV5seZfELBEEUvIU0Tdcs3aabtIf115u1gjdPwwzPOzM8CF1SuKYA5U2itKgKAkwQ4CWrCD9CCyaVJLmBY7QAXhSk4JKdorOUNgBCgIQF-nh1aQh9cjhNsTXW4a0bP0MTurDe4zZEHIbRb_2X79fYxqlxOPgONy6ZbjzMpt6PeHAxo1vT57zvsY9md45OWtMld_Fbl-j9_u5t9UieXx6eVrfPxDKAkVRSgSpZft6CqqEW0KjaUFtLoTirSyZpy6mrVMbaSjgruRW14pWyylhr-BJdzXuHGHaTS6PehCn2-aTmlAsQlRQyU2ymbAwpRdfqIfqtiXtNQR8M6tmgzgb1j0HNc4jPoZThfu3i3-p_Ut_h1nQ9</recordid><startdate>20241020</startdate><enddate>20241020</enddate><creator>Alardhi, Saja M.</creator><creator>Mohsen, Ali M.</creator><creator>Breig, Sura J. Mohammed</creator><creator>Jabbar, Noor M.</creator><creator>Alfaker, Mohamad J.</creator><creator>Salman, Ali D.</creator><creator>Kareem, Karrar O.</creator><creator>Abd, Ali M.</creator><creator>AlJaberi, Forat Y.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope></search><sort><creationdate>20241020</creationdate><title>Response surface methodology for optimizing crude oil desalting unit performance in iraq</title><author>Alardhi, Saja M. ; Mohsen, Ali M. ; Breig, Sura J. Mohammed ; Jabbar, Noor M. ; Alfaker, Mohamad J. ; Salman, Ali D. ; Kareem, Karrar O. ; Abd, Ali M. ; AlJaberi, Forat Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c200t-9580872696c08b0b40d8ba1cb54832b7251f31e98808f94ec53c4b8398c8acca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Biochemistry</topic><topic>Biotechnology</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Chemistry/Food Science</topic><topic>Corrosion products</topic><topic>Crude oil</topic><topic>Desalination</topic><topic>Emulsions</topic><topic>Industrial Chemistry/Chemical Engineering</topic><topic>Materials Science</topic><topic>Medicinal Chemistry</topic><topic>Moisture content</topic><topic>Optimization</topic><topic>Original Paper</topic><topic>Parameters</topic><topic>Pressure drop</topic><topic>Production costs</topic><topic>Response surface methodology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alardhi, Saja M.</creatorcontrib><creatorcontrib>Mohsen, Ali M.</creatorcontrib><creatorcontrib>Breig, Sura J. Mohammed</creatorcontrib><creatorcontrib>Jabbar, Noor M.</creatorcontrib><creatorcontrib>Alfaker, Mohamad J.</creatorcontrib><creatorcontrib>Salman, Ali D.</creatorcontrib><creatorcontrib>Kareem, Karrar O.</creatorcontrib><creatorcontrib>Abd, Ali M.</creatorcontrib><creatorcontrib>AlJaberi, Forat Y.</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Chemical papers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alardhi, Saja M.</au><au>Mohsen, Ali M.</au><au>Breig, Sura J. Mohammed</au><au>Jabbar, Noor M.</au><au>Alfaker, Mohamad J.</au><au>Salman, Ali D.</au><au>Kareem, Karrar O.</au><au>Abd, Ali M.</au><au>AlJaberi, Forat Y.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Response surface methodology for optimizing crude oil desalting unit performance in iraq</atitle><jtitle>Chemical papers</jtitle><stitle>Chem. Pap</stitle><date>2024-10-20</date><risdate>2024</risdate><volume>78</volume><issue>17</issue><spage>9091</spage><epage>9102</epage><pages>9091-9102</pages><issn>0366-6352</issn><eissn>2585-7290</eissn><eissn>1336-9075</eissn><abstract>Emulsions in petroleum production pose challenges like equipment corrosion, pipeline pressure drops, pumping costs, and catalyst poisoning, leading to increased production costs and technical and environmental issues. The complexity of emulsions necessitates using cost-effective and efficient de-emulsifiers for effective treatment. Desalting units are often installed in crude oil production units to remove water-soluble salts from an oil stream. To optimize this process, the desalting unit should be modeled. The research employs Response Surface Methodology (RSM) to analyze the efficiency of the desalting unit based on various input parameters. The result shows that the mentioned model agrees with the experimental data. The experiments were designed using response surface methodology; these parameters and their interaction are significant, and determination coefficient R
2
for water content and salt concentration equal 0.9246 and 0.9901 in respective in addition difference between R
adj
and R
pred
less than 0.2 for two responses, R
adj
and R
pred
for water content 0.8491 and0.6082 and salt concentration 0.9803 and 0.9464, respectively. The result revealed that minimum water content of 0.03%(V/V) and salt concentration of 85 ppm, which agreement with predicted responses, was 0.05%v/v and 70 ppm, respectively, when the temperature was 45.1 °C, API 29, initial water content was 2.07 and initial salt concentration was 5344.04, respectively.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s11696-024-03729-3</doi><tpages>12</tpages></addata></record> |
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subjects | Biochemistry Biotechnology Chemistry Chemistry and Materials Science Chemistry/Food Science Corrosion products Crude oil Desalination Emulsions Industrial Chemistry/Chemical Engineering Materials Science Medicinal Chemistry Moisture content Optimization Original Paper Parameters Pressure drop Production costs Response surface methodology |
title | Response surface methodology for optimizing crude oil desalting unit performance in iraq |
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