A Hybrid Genetic Algorithm for Optimal Control Solving of Polymer Flooding
This paper researches the optimization of injection strategies of polymer flooding in oil recovery. An optimal control problem (OCP) of a distributed parameter system (DPS) is formulated, in which the functional of performance index is profit maximum and the governing equations are the fluid equatio...
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| creator | Yang Lei Shurong Li Qiang Zhang Xiaodong Zhang Lanlei Guo |
| description | This paper researches the optimization of injection strategies of polymer flooding in oil recovery. An optimal control problem (OCP) of a distributed parameter system (DPS) is formulated, in which the functional of performance index is profit maximum and the governing equations are the fluid equations in porous media. The control variables are chosen as the polymer concentrations and the slug size. The constraint conditions include boundary constraints and other inequality constraints. By a control vector parameterization (CVP) method, the OCP is transformed into a mixed integer optimization problem (MIOP). A hybrid genetic algorithm (HGA), which incorporates a position displacement strategy of the particle swarm optimizer (PSO) along with a special truncation procedure for handling integer restrictions, is applied to solve the MIOP. Finally, an example of the OCP for polymer flooding is exposed and the results show that the HGA method is effective and feasible. |
| doi_str_mv | 10.1109/ICICTA.2010.609 |
| format | Conference Proceeding |
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An optimal control problem (OCP) of a distributed parameter system (DPS) is formulated, in which the functional of performance index is profit maximum and the governing equations are the fluid equations in porous media. The control variables are chosen as the polymer concentrations and the slug size. The constraint conditions include boundary constraints and other inequality constraints. By a control vector parameterization (CVP) method, the OCP is transformed into a mixed integer optimization problem (MIOP). A hybrid genetic algorithm (HGA), which incorporates a position displacement strategy of the particle swarm optimizer (PSO) along with a special truncation procedure for handling integer restrictions, is applied to solve the MIOP. 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An optimal control problem (OCP) of a distributed parameter system (DPS) is formulated, in which the functional of performance index is profit maximum and the governing equations are the fluid equations in porous media. The control variables are chosen as the polymer concentrations and the slug size. The constraint conditions include boundary constraints and other inequality constraints. By a control vector parameterization (CVP) method, the OCP is transformed into a mixed integer optimization problem (MIOP). A hybrid genetic algorithm (HGA), which incorporates a position displacement strategy of the particle swarm optimizer (PSO) along with a special truncation procedure for handling integer restrictions, is applied to solve the MIOP. Finally, an example of the OCP for polymer flooding is exposed and the results show that the HGA method is effective and feasible.</description><subject>Distributed parameter systems</subject><subject>Equations</subject><subject>Floods</subject><subject>Genetic algorithms</subject><subject>hybrid genetic algorithm</subject><subject>mixed integer optimization</subject><subject>Optimal control</subject><subject>Optimization methods</subject><subject>Performance analysis</subject><subject>Petroleum</subject><subject>polymer flooding</subject><subject>Polymers</subject><subject>Size control</subject><isbn>9781424472796</isbn><isbn>1424472792</isbn><isbn>9781424472802</isbn><isbn>1424472806</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNjk1LAzEYhCNSUGvPHrzkD2zN5ybvcVnshxQqtPey3bypkXRTsovQf--KHpzLMA_DMIQ8cTbnnMHLul7X-2ou2AhKBjdkBsZyJZQywjJx-z8bKCfk4acKwhpt78is7z_ZKKXFiO_JW0VX12MOji6xwyG0tIqnlMPwcaY-Zbq9DOHcRFqnbsgp0l2KX6E70eTpe4rXM2a6iCm5kT2SiW9ij7M_n5Ld4nVfr4rNdrmuq00RgA0FoEIujRCt1o5Z6UAL512jWFtyACcRvUdjGiYUeitb2wJKOCpokZVMTsnz72pAxMMlj-_y9aC1kMJa-Q363E-v</recordid><startdate>201005</startdate><enddate>201005</enddate><creator>Yang Lei</creator><creator>Shurong Li</creator><creator>Qiang Zhang</creator><creator>Xiaodong Zhang</creator><creator>Lanlei Guo</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201005</creationdate><title>A Hybrid Genetic Algorithm for Optimal Control Solving of Polymer Flooding</title><author>Yang Lei ; Shurong Li ; Qiang Zhang ; Xiaodong Zhang ; Lanlei Guo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-9e4e13722c55d083d952dfda40c6199d3eeffe77a024ef83c8c9e39b49ce0603</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Distributed parameter systems</topic><topic>Equations</topic><topic>Floods</topic><topic>Genetic algorithms</topic><topic>hybrid genetic algorithm</topic><topic>mixed integer optimization</topic><topic>Optimal control</topic><topic>Optimization methods</topic><topic>Performance analysis</topic><topic>Petroleum</topic><topic>polymer flooding</topic><topic>Polymers</topic><topic>Size control</topic><toplevel>online_resources</toplevel><creatorcontrib>Yang Lei</creatorcontrib><creatorcontrib>Shurong Li</creatorcontrib><creatorcontrib>Qiang Zhang</creatorcontrib><creatorcontrib>Xiaodong Zhang</creatorcontrib><creatorcontrib>Lanlei Guo</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yang Lei</au><au>Shurong Li</au><au>Qiang Zhang</au><au>Xiaodong Zhang</au><au>Lanlei Guo</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Hybrid Genetic Algorithm for Optimal Control Solving of Polymer Flooding</atitle><btitle>2010 International Conference on Intelligent Computation Technology and Automation</btitle><stitle>ICICTA</stitle><date>2010-05</date><risdate>2010</risdate><volume>1</volume><spage>122</spage><epage>125</epage><pages>122-125</pages><isbn>9781424472796</isbn><isbn>1424472792</isbn><eisbn>9781424472802</eisbn><eisbn>1424472806</eisbn><abstract>This paper researches the optimization of injection strategies of polymer flooding in oil recovery. An optimal control problem (OCP) of a distributed parameter system (DPS) is formulated, in which the functional of performance index is profit maximum and the governing equations are the fluid equations in porous media. The control variables are chosen as the polymer concentrations and the slug size. The constraint conditions include boundary constraints and other inequality constraints. By a control vector parameterization (CVP) method, the OCP is transformed into a mixed integer optimization problem (MIOP). A hybrid genetic algorithm (HGA), which incorporates a position displacement strategy of the particle swarm optimizer (PSO) along with a special truncation procedure for handling integer restrictions, is applied to solve the MIOP. Finally, an example of the OCP for polymer flooding is exposed and the results show that the HGA method is effective and feasible.</abstract><pub>IEEE</pub><doi>10.1109/ICICTA.2010.609</doi><tpages>4</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Distributed parameter systems Equations Floods Genetic algorithms hybrid genetic algorithm mixed integer optimization Optimal control Optimization methods Performance analysis Petroleum polymer flooding Polymers Size control |
| title | A Hybrid Genetic Algorithm for Optimal Control Solving of Polymer Flooding |
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