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Hydrodynamics Calculation And Optimization Study Of The Chang Qing NO.3 Oilfield Gathering Network System

Posted on:2008-06-27Degree:MasterType:Thesis
Country:ChinaCandidate:H GuoFull Text:PDF
GTID:2121360248950099Subject:Oil and Gas Storage and Transportation Engineering
Abstract/Summary:PDF Full Text Request
In order to decrease cost of the oil-gas gathering system,and increase economic efficiency of the oilfield, it is of great significance to optimize the operation of gathering system, especially to optimize the structure parameter of the system. A detail study on some problems concerned the optimization problem was made by numerical simulations.The thermodynamic model is givern to calculate the property of the oil and gas. The temperature model is induced and the mixture specify heat value is correctly calculated.Severval hydrodynamic models used commonly in oil field are given. Using the field data, the models are evaluated. The base of the optimization problem is to induce the pipe hydrodynamics model. The existing models used widely are compared, then BBME model has been selected. Also the general network model of the gathering system is developed.After the multiple objective optimization function has been built, Genetic Algorithm and sequential quadratic programming Algorithm are adopted to optimize all the dimensions of the system. Result shows that compared with sequential quadratic programming Algorithm, Genetic Algorithm can make better prediction of the diameters of the complex system. In addition, Genetic Algorithm is also adopted to optimize the partial diameters of the system, it is found that the Algorithm is also fit for the partial dimensions optimization problem.According to the field data of the Changqing No.3 gathering system, including JingNan, JingBei, Ningging etc. The optimization results are calculated. The results show that the optimized plans can greatly decrease the cost by 10~40%.
Keywords/Search Tags:multiphase flow, gathering system, optimization, hydrodynamics model, T-junction
PDF Full Text Request
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