多級星型油田集輸系統(tǒng)優(yōu)化布局研究及其在工程設(shè)計中的應(yīng)用
發(fā)布時間:2019-06-16 12:39
【摘要】:油田集輸系統(tǒng)在油田開發(fā)建設(shè)中占有重要地位。該系統(tǒng)的投資費用主要包括管道建設(shè)費用、各級站造價費用以及生產(chǎn)運行費用。管道和各級站的初期投資巨大,一般可達(dá)油田地面工程總投資的60%~70%,同時系統(tǒng)運行時每年的消耗費用積累起來也很大。因此對油田集輸系統(tǒng)進(jìn)行優(yōu)化設(shè)計,求得合理的優(yōu)化設(shè)計方案,對油田節(jié)能降耗和提高油田開發(fā)的經(jīng)濟(jì)效益、社會效益有著重要的意義。本文研究并改進(jìn)了油田集輸系統(tǒng)優(yōu)化布局模型。提出了以適用期末年的總費用最小為目標(biāo)優(yōu)化函數(shù),以管網(wǎng)連接關(guān)系、各站的幾何位置及各連接管段管徑為設(shè)計變量的優(yōu)化模型。同時對模型進(jìn)行了簡化處理,得出了其它兩個模型。并詳細(xì)敘述了模型中各費用的求解方法及模型的約束條件。在多級星型油田集輸系統(tǒng)優(yōu)化數(shù)學(xué)模型中,既有離散變量(如管徑、管網(wǎng)連接關(guān)系等)又有連續(xù)變量(溫度、壓力、站的幾何位置等),屬于網(wǎng)絡(luò)組合優(yōu)化問題。常規(guī)優(yōu)化方法很難求解,本文采用了遺傳算法對模型進(jìn)行優(yōu)化計算。針對2013年全國石油工程設(shè)計大賽的賽題數(shù)據(jù),應(yīng)用Matlab軟件編寫優(yōu)化程序?qū)區(qū)塊的稠油油田集輸系統(tǒng)進(jìn)行了優(yōu)化設(shè)計。在設(shè)計中,綜合考慮蒸汽吞吐和蒸汽驅(qū)的各種參數(shù),設(shè)計出符合蒸汽吞吐階段油田生產(chǎn)要求,同時兼顧蒸汽驅(qū)時油田生產(chǎn)要求的多級星型油田集輸管網(wǎng),優(yōu)化后得出了對應(yīng)的管徑,管網(wǎng)連接關(guān)系及管網(wǎng)連接圖。
[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.
【學(xué)位授予單位】:燕山大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:TE863
本文編號: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.
【學(xué)位授予單位】:燕山大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:TE863
【參考文獻(xiàn)】
相關(guān)期刊論文 前4條
1 李長俊,楊宇,廖曉蓉,李丙文;長距離輸氣管道工程混合變量優(yōu)化設(shè)計研究[J];管道技術(shù)與設(shè)備;2001年03期
2 李雄飛;張海龍;劉兆軍;王仁彪;;用啟發(fā)式算法求解最短路徑問題[J];吉林大學(xué)學(xué)報(工學(xué)版);2011年01期
3 張啟陽,史培玉,李玉星;基于遺傳算法的油氣混輸管網(wǎng)參數(shù)優(yōu)化[J];石油規(guī)劃設(shè)計;2004年03期
4 劉揚;關(guān)曉晶;;環(huán)形集輸管網(wǎng)拓?fù)鋬?yōu)化設(shè)計[J];天然氣工業(yè);1993年02期
相關(guān)博士學(xué)位論文 前1條
1 魏立新;基于智能計算的油田地面管網(wǎng)優(yōu)化技術(shù)研究[D];大慶石油學(xué)院;2005年
相關(guān)碩士學(xué)位論文 前1條
1 冷建成;基于神經(jīng)網(wǎng)絡(luò)方法的油氣集輸管網(wǎng)拓?fù)鋬?yōu)化設(shè)計[D];大慶石油學(xué)院;2002年
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