基于双层规划理论油田树状注水管网优化设计研究
发布时间：2019-03-25 18:44
【摘要】：油田注水管网系统是一个大型的多级流体网络系统,其优化是包含线性优化、非线性优化、多重约束及多目标优化的复杂优化问题,优化过程中涉及多个参数,包括离散变量、连续变量以及判别变量。注水管网组成有:注水站、配水间、注水井以及连接各级站、承担输水作用的注水管线。因此本文将以各组成部分的数据信息为微观元素,通过优化分析获得可直观衡量管网性能优劣的宏观指标。本文以树状注水管网为研究对象,其相对于星状管网更具灵活性,而相对于环状管网则具有投资少,易于控制的优点,并可以随注水井数的增加进行适当改造。管网的费用来源可以分为两方面:一方面来自管网的基础建设费用,另一方面来自管网投入运营后产生的运行费用。由于油田注水管网的优化属于强NP-hard问题,所以以往的优化研究往往致力于单目标优化或无关联多目标优化,不能确保管网总体情况最优,而本文着眼于油田注水管网总体优化这一研究方向进行了以下几部分的研究:(1)引入双层规划理论作为管网建模的理论依据,尝试在模型中对管网建设投资与运行费用进行优化,并运用管线管径作为决策变量,联系上下层模型,使整个管网的建设费用与运行费用均达到最优。(2)在管网拓扑优化过程中,引入注水分干线概念,即对树状注水管网中同级别站之间供水管线的统称,主要工作包括注水井组的隶属划分、注水站与配水间的站址选取及注水分干线的选线,以距离函数的求解作为准则,并在站址选取的过程中采用类电磁机制算法作为优化算法,利用其效率高、需要参数少的优点提高寻优的速度及准确性。(3)在管网运行优化过程中,以质量守恒定律和能量守恒定律为标准,考虑运行过程中的主要能耗来源,并制定注水支线、注水干线及注水分干线的管径方案,求解管网的运行费用。本文在以上工作的基础上,在MATLAB环境下编制程序,并在计算机上实现了对双层规划模型的建立、求解及方案输出。
[Abstract]:Oilfield water flooding network system is a large multi-level fluid network system. Its optimization is a complex optimization problem which includes linear optimization, nonlinear optimization, multiple constraints and multi-objective optimization. The optimization process involves several parameters, including discrete variables. Continuous variables and discriminant variables. The water injection network is composed of water injection station, water distribution room, water injection well and water injection pipeline. Therefore, this paper will take the data information of each component as the micro-element, and obtain the macroscopic index which can directly measure the performance of the pipe network through the optimization analysis. In this paper, the tree-shaped water-flooding network is taken as the research object, which is more flexible than the star-shaped network, while the ring-shaped network has the advantages of less investment and easy to control, and it can be reformed appropriately with the increase of the number of injection wells. The cost source of the pipe network can be divided into two aspects: on the one hand, it comes from the infrastructure cost of the pipe network, on the other hand, it comes from the operation cost of the pipe network. Because the optimization of oilfield waterflooding network belongs to the strong NP-hard problem, the previous optimization research is usually devoted to single-objective optimization or uncorrelated multi-objective optimization, which can not ensure the optimal overall situation of the pipeline network. This paper focuses on the overall optimization of oilfield water flooding network in the research direction of the following parts: (1) the introduction of double-level programming theory as the theoretical basis of pipe network modeling, This paper tries to optimize the investment and operation cost of pipe network construction in the model, and uses pipeline diameter as decision variable to connect the model of upper and lower layers. The construction cost and operation cost of the whole pipeline network are optimized. (2) in the process of topology optimization of the pipeline network, the concept of waterflooding sub-trunk line is introduced, that is, the general name of the water supply pipeline between the same grade stations in the tree-shaped water injection pipe network. The main work includes the subordination division of water injection well group, the site selection between water injection station and water distribution station and the line selection of water injection sub-lines, taking the solution of distance function as the criterion, and adopting the electromagnetic-like mechanism algorithm as the optimization algorithm in the process of site selection. The advantages of high efficiency and few parameters are needed to improve the speed and accuracy of optimization. (3) in the optimization process of pipeline network, the law of conservation of mass and the law of conservation of energy are used as the standard, and the main sources of energy consumption in the process of operation are considered. The pipe diameter scheme of water injection branch line, water injection trunk line and water injection sub-main line is made, and the running cost of the pipeline network is calculated. In this paper, based on the above work, the program is programmed under the MATLAB environment, and the establishment, solution and output of the two-level programming model are realized on the computer.
【学位授予单位】：东北石油大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE357.6
本文编号：2447217
[Abstract]:Oilfield water flooding network system is a large multi-level fluid network system. Its optimization is a complex optimization problem which includes linear optimization, nonlinear optimization, multiple constraints and multi-objective optimization. The optimization process involves several parameters, including discrete variables. Continuous variables and discriminant variables. The water injection network is composed of water injection station, water distribution room, water injection well and water injection pipeline. Therefore, this paper will take the data information of each component as the micro-element, and obtain the macroscopic index which can directly measure the performance of the pipe network through the optimization analysis. In this paper, the tree-shaped water-flooding network is taken as the research object, which is more flexible than the star-shaped network, while the ring-shaped network has the advantages of less investment and easy to control, and it can be reformed appropriately with the increase of the number of injection wells. The cost source of the pipe network can be divided into two aspects: on the one hand, it comes from the infrastructure cost of the pipe network, on the other hand, it comes from the operation cost of the pipe network. Because the optimization of oilfield waterflooding network belongs to the strong NP-hard problem, the previous optimization research is usually devoted to single-objective optimization or uncorrelated multi-objective optimization, which can not ensure the optimal overall situation of the pipeline network. This paper focuses on the overall optimization of oilfield water flooding network in the research direction of the following parts: (1) the introduction of double-level programming theory as the theoretical basis of pipe network modeling, This paper tries to optimize the investment and operation cost of pipe network construction in the model, and uses pipeline diameter as decision variable to connect the model of upper and lower layers. The construction cost and operation cost of the whole pipeline network are optimized. (2) in the process of topology optimization of the pipeline network, the concept of waterflooding sub-trunk line is introduced, that is, the general name of the water supply pipeline between the same grade stations in the tree-shaped water injection pipe network. The main work includes the subordination division of water injection well group, the site selection between water injection station and water distribution station and the line selection of water injection sub-lines, taking the solution of distance function as the criterion, and adopting the electromagnetic-like mechanism algorithm as the optimization algorithm in the process of site selection. The advantages of high efficiency and few parameters are needed to improve the speed and accuracy of optimization. (3) in the optimization process of pipeline network, the law of conservation of mass and the law of conservation of energy are used as the standard, and the main sources of energy consumption in the process of operation are considered. The pipe diameter scheme of water injection branch line, water injection trunk line and water injection sub-main line is made, and the running cost of the pipeline network is calculated. In this paper, based on the above work, the program is programmed under the MATLAB environment, and the establishment, solution and output of the two-level programming model are realized on the computer.
【学位授予单位】：东北石油大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE357.6
【参考文献】
相关期刊论文 前1条
1 杨建军;丁玉成;赵万华;;基于环路和改进遗传算法的树状灌溉管网优化[J];农机化研究;2010年03期
，本文编号：2447217
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