多级星型油田集输系统优化布局研究及其在工程设计中的应用
发布时间：2019-06-16 12:39
【摘要】：油田集输系统在油田开发建设中占有重要地位。该系统的投资费用主要包括管道建设费用、各级站造价费用以及生产运行费用。管道和各级站的初期投资巨大,一般可达油田地面工程总投资的60%~70%,同时系统运行时每年的消耗费用积累起来也很大。因此对油田集输系统进行优化设计,求得合理的优化设计方案,对油田节能降耗和提高油田开发的经济效益、社会效益有着重要的意义。本文研究并改进了油田集输系统优化布局模型。提出了以适用期末年的总费用最小为目标优化函数,以管网连接关系、各站的几何位置及各连接管段管径为设计变量的优化模型。同时对模型进行了简化处理,得出了其它两个模型。并详细叙述了模型中各费用的求解方法及模型的约束条件。在多级星型油田集输系统优化数学模型中,既有离散变量(如管径、管网连接关系等)又有连续变量(温度、压力、站的几何位置等),属于网络组合优化问题。常规优化方法很难求解,本文采用了遗传算法对模型进行优化计算。针对2013年全国石油工程设计大赛的赛题数据,应用Matlab软件编写优化程序对A区块的稠油油田集输系统进行了优化设计。在设计中,综合考虑蒸汽吞吐和蒸汽驱的各种参数,设计出符合蒸汽吞吐阶段油田生产要求,同时兼顾蒸汽驱时油田生产要求的多级星型油田集输管网,优化后得出了对应的管径,管网连接关系及管网连接图。
[Abstract]:Oil field gathering and transportation system plays an important role in oil field development and construction. The investment cost of the system mainly includes pipeline construction cost, station cost at all levels and production and operation costs. The initial investment of pipelines and stations at all levels is huge, generally up to 60% of the total investment of oil field surface engineering, and the annual consumption cost of the system is also very large. Therefore, it is of great significance to optimize the design of oil field gathering and transportation system and obtain a reasonable optimization design scheme to save energy and reduce consumption and improve the economic and social benefits of oil field development. In this paper, the optimal layout model of oil field gathering and transportation system is studied and improved. An optimization model is proposed, which takes the minimum total cost at the end of the applicable period as the objective optimization function, and takes the connection relationship of the pipe network, the geometric position of each station and the diameter of each connecting pipe section as the design variables. At the same time, the model is simplified and the other two models are obtained. The solution method of each cost in the model and the constraint conditions of the model are described in detail. In the optimization mathematical model of multistage star oil field gathering and transportation system, there are both discrete variables (such as pipe diameter, pipe network connection relationship, etc.) and continuous variables (temperature, pressure, geometric position of station, etc.), which belongs to the network combination optimization problem. The conventional optimization method is difficult to solve. In this paper, genetic algorithm is used to optimize the model. According to the data of 2013 National Petroleum Engineering Design Competition, the gathering and transportation system of heavy oil field in Block A is optimized by using Matlab software. In the design, considering the parameters of steam huff and puff and steam drive, a multistage star type oil field gathering and transportation network which meets the requirements of steam huff and puff stage and takes into account the production requirements of steam drive is designed. After optimization, the corresponding pipe diameter, pipe network connection relationship and pipe network connection diagram are obtained.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE863
本文编号：2500563
[Abstract]:Oil field gathering and transportation system plays an important role in oil field development and construction. The investment cost of the system mainly includes pipeline construction cost, station cost at all levels and production and operation costs. The initial investment of pipelines and stations at all levels is huge, generally up to 60% of the total investment of oil field surface engineering, and the annual consumption cost of the system is also very large. Therefore, it is of great significance to optimize the design of oil field gathering and transportation system and obtain a reasonable optimization design scheme to save energy and reduce consumption and improve the economic and social benefits of oil field development. In this paper, the optimal layout model of oil field gathering and transportation system is studied and improved. An optimization model is proposed, which takes the minimum total cost at the end of the applicable period as the objective optimization function, and takes the connection relationship of the pipe network, the geometric position of each station and the diameter of each connecting pipe section as the design variables. At the same time, the model is simplified and the other two models are obtained. The solution method of each cost in the model and the constraint conditions of the model are described in detail. In the optimization mathematical model of multistage star oil field gathering and transportation system, there are both discrete variables (such as pipe diameter, pipe network connection relationship, etc.) and continuous variables (temperature, pressure, geometric position of station, etc.), which belongs to the network combination optimization problem. The conventional optimization method is difficult to solve. In this paper, genetic algorithm is used to optimize the model. According to the data of 2013 National Petroleum Engineering Design Competition, the gathering and transportation system of heavy oil field in Block A is optimized by using Matlab software. In the design, considering the parameters of steam huff and puff and steam drive, a multistage star type oil field gathering and transportation network which meets the requirements of steam huff and puff stage and takes into account the production requirements of steam drive is designed. After optimization, the corresponding pipe diameter, pipe network connection relationship and pipe network connection diagram are obtained.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE863
【参考文献】
相关期刊论文 前4条
1 李长俊,杨宇,廖晓蓉,李丙文;长距离输气管道工程混合变量优化设计研究[J];管道技术与设备;2001年03期
2 李雄飞;张海龙;刘兆军;王仁彪;;用启发式算法求解最短路径问题[J];吉林大学学报(工学版);2011年01期
3 张启阳,史培玉,李玉星;基于遗传算法的油气混输管网参数优化[J];石油规划设计;2004年03期
4 刘扬;关晓晶;;环形集输管网拓扑优化设计[J];天然气工业;1993年02期
相关博士学位论文 前1条
1 魏立新;基于智能计算的油田地面管网优化技术研究[D];大庆石油学院;2005年
相关硕士学位论文 前1条
1 冷建成;基于神经网络方法的油气集输管网拓扑优化设计[D];大庆石油学院;2002年
，本文编号：2500563
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