煤层气输气管道最优化方法研究  

Adaptability of Algorithms in Coalbed Methane Pipeline Opration Optimization Problem

作　　者：郭笑沁 潘峰[1] 吕晨洁 张赫 GUO Xiao-qin;PAN Feng;LV Chen-jie;ZHANG He(School of Electronic Information Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China)

机构地区：[1]太原科技大学电子信息工程学院,太原030024

出　　处：《太原科技大学学报》2019年第3期245-248,共4页Journal of Taiyuan University of Science and Technology

基　　金：山西省晋城市攻关项目计划(201501004-17);太原科技大学研究生科技创新项目(2015011)

摘　　要：随着人类可利用资源在逐年减少,尤其是受我国天然气的存储量的限制,煤层气作为天然气的替代品而关注。沁水盆地的煤层气储量在全国前列,如何利用合理、安全的开采方式使得煤层气的输气量达到最大成为研究的重点。煤层气与天然气的主要气体含量都是甲烷,俗称"瓦斯",对煤层气的主要输送方式是管道输送。本文在考虑管道的水力、热力的约束条件下,以最小能耗为目标函数,对煤层气的输气管道进行优化。因气体的受干扰因素多,且所选目标函数具有非线性的特点,本文采用动态规划法和遗传算法的方式对目标函数进行求解,对算法在煤层气当中的应用进行了简要、具体的分析之后,用matlab仿真软件对分析结果进行仿真得到了对比。As the decreasing availability of resources year by year and the limited storage of natural gas in China, Coalbed methane(CMB) commonly known as "gas" is paid attention as a substitute for natural gas. A lot of coal bed gas reserves in the Qinshui Basin. Making use of reasonable and safe mining methods to reach the maximum gas transportation of coal gas becomes the research focus. The main gas content of coal bed gas and natural gas is methane, and the main transport mode of coal bed gas is pipeline transportation. Considering the hydraulic and thermal constraints of the pipeline, the objective function of minimum energy consumption is to optimize the gas pipeline of coal bed gas. Because there are interference factors of gas, and the selected objective function is nonlinear, dynamic programming and genetic algorithm are used to solve the objective function. After specific analysis of the application of the algorithm in CBM, the simulation results are obtained through the application of the simulation software MATLAB.

关 键 词：煤层气 优化 遗传算法 动态规划法 

分 类 号：TE832[石油与天然气工程—油气储运工程]