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不加热埋地集油管网参数优化设计
引用本文:魏立新,侯进才,赵健,陈明辉,李晓凤.不加热埋地集油管网参数优化设计[J].科学技术与工程,2010,10(24).
作者姓名:魏立新  侯进才  赵健  陈明辉  李晓凤
作者单位:东北石油大学提高油气采收率教育部重点实验室,大庆,163318
基金项目:黑龙江省高校科技创新团队建设计划 
摘    要:不加热集输是油田高含水开发期经常采用的一种能耗较低的工艺流程。为了提高油田开发建设的经济效益,以管线管径、保温层厚度和管顶埋深为设计变量,管网建设投资、动力能耗和热力能耗最小为目标研究建立了不加热埋地集输油管道多目标参数优化设计的数学模型。该模型属于混合变量的非线性优化设计问题。根据模型的结构特点,采用线性加权法将多目标优化问题转化为单目标优化问题,然后采用序列二次规划法进行求解。对某区块集输管网进行了优化设计。与优化前相比,管网投资降低5.64%,热力能耗降低39.55%,动力能耗增加37.01%。

关 键 词:不加热集输  多目标优化  序列二次规划法  管网
收稿时间:6/6/2010 9:06:19 AM
修稿时间:6/6/2010 9:06:19 AM

Parameters optimization design of unheated buried oil-gathering pipe network
WEI Li-xin,HOU Jin-cai,ZHAO Jian,CHEN Ming-hui and LI Xiao-feng.Parameters optimization design of unheated buried oil-gathering pipe network[J].Science Technology and Engineering,2010,10(24).
Authors:WEI Li-xin  HOU Jin-cai  ZHAO Jian  CHEN Ming-hui and LI Xiao-feng
Abstract:Unheated oil gathering and transportation is one of the low energy consumption technological process and often used in the high water cut development stage. In order to improve the economic benefits of exploitation and construction of the oilfield, multi-objective parameters optimization mathematical model of unheated buried oil-gathering pipe network is builded with the targets of minimization of pipeline construction investment, thermal energy and power energy consumption. The design variables of this model are pipe diameter, the thickness of thermal insulation layer and the depth of buried pipe roof. The model belongs to the mixed-discrete variable nonlinear optimization problem. According to the structure characteristics of the model, multi-objective parameters optimization mathematical model is changed into the single-objective optimization by using linear weighting method. Then the single-objective optimization is solved by sequential quadratic programming method. Network optimized design of a block of gathering and transportation system is conducted by the model mentioned in this paper, and the result is that pipeline construction investment reduces 5.64 percent, thermal energy consumption reduces 39.55 percent and power energy consumption increases 37.01 percent.
Keywords:Unheated oil gathering and transportation  multi-objective optimization  sequential quadratic programming method  pipe network
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