首页> 外文会议>Biennial International Pipeline Conference(IPC 2004) vol.3; 20041004-08; Calgary(CA) >OPTIMIZING THE STEADY OPERATION OF AN DOUBLE OIL PIPELINE SYSTEM BY DECOMPOSTION METHOD
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OPTIMIZING THE STEADY OPERATION OF AN DOUBLE OIL PIPELINE SYSTEM BY DECOMPOSTION METHOD

机译:分解法优化双输油管道系统的稳态运行

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As a main channel for long distance transportation of Daqing crude oil, Daqing-Tieling oil pipeline system consists of two pipelines in parallel. With its capacity of 45 million tons per year, the system is the largest oil pipeline system in China and plays an important role in the petroleum industry and national economy of China. Due to the complicated interconnection between the two pipelines in the system, the optimization of steady operation of the system is much more difficult than a single pipeline so that it can be considered as an optimization problem on large scale system. Besides the interconnection of the two pipelines, because of high pour point of Daqing crude oil , another difficulty to solve the problem comes from the fact that the two pipelines are hot oil pipeline, of which the heating-pumping stations are equipped with some heaters to heat the crude oil so as to improve its flow ability. For the optimization problem, the basic decision variables can be divided into two types, the discharge temperature of each heating-pumping station and the 0-1 variable which assigns a pump online or offline, and they are dependent to each other. Under certain conditions, the problem can be decomposed into two relatively independent sub-problems, one being the optimization of the oil temperatures in the system, another being the optimization of the matching between a pump combination and the all pipe segments of the system. The first sub-problem has been modeled as a nonlinear programming problem with 55 decision variables and more than one hundred constraints. For simplifying the solving process of the sub-problem, it has been further decomposed into a set of sub-problems again, each of which can be easily solved. The second sub-problem can be modeled as a dynamic programming problem. On the basis of the models and the algorithms proposed for the above-mentioned problem, a software QTOPT has been developed specially for the Daqing-Tieling oil pipeline system, and has been used in evaluating and optimizing the process design of the system. Also the software can be used to optimize the steady operation of the system.
机译:作为大庆原油长距离运输的主要渠道,大庆-铁岭输油管道系统由两条平行的管道组成。该系统的年产能为4500万吨,是中国最大的输油管道系统,在中国的石油工业和国民经济中发挥着重要作用。由于系统中两个管道之间的互连很复杂,系统稳定运行的优化要比单个管道困难得多,因此可以将其视为大规模系统的优化问题。除了两条管线的互连之外,由于大庆原油的凝点高,解决该问题的另一个困难是由于两条管线是热油管线,其中加热泵站装有一些加热器,以供使用。加热原油以提高其流动能力。对于优化问题,基本决策变量可以分为两种类型,即每个加热泵站的排放温度和为在线或离线分配泵的0-1变量,它们彼此相关。在某些情况下,该问题可以分解为两个相对独立的子问题,一个是系统中油温的优化,另一个是泵组合与系统所有管段之间的匹配的优化。第一个子问题已被建模为具有55个决策变量和100多个约束的非线性规划问题。为了简化子问题的求解过程,已将其进一步分解为一组子问题,每个子问题都可以轻松解决。第二个子问题可以建模为动态编程问题。在针对上述问题提出的模型和算法的基础上,专门为大庆-铁岭输油管道系统开发了软件QTOPT,并已用于评估和优化系统的过程设计。该软件还可用于优化系统的稳定运行。

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