基于模糊约束的集输管网参数优化设计  

Optimization design of network parameters based on fuzzy constraint

作　　者：邹吉洋 陈双庆[1] 王力[1] 刘鹏[1] 李星雨[1] 成毅 

机构地区：[1]东北石油大学石油工程学院,黑龙江大庆163318

出　　处：《化学工程师》2018年第2期16-20,共5页Chemical Engineer

基　　金：国家自然科学基金面上项目"受约束三维地形条件下油气集输系统模糊布局优化研究"(No.51674086)

摘　　要：对含蜡原油集输管网进行参数优化设计时,通常存在大量模糊不确定性的参数和约束条件,以往国内外学者大都会采用确定性优化算法进行计算,忽视了其模糊性,得到的解集不能真实的反应这些参数的实际情况[1]。本文考虑参数的模糊性,将集输管网确定性参数优化和模糊数学相结合,建立了基于模糊智能算法的集输管网参数优化计的数学模型,以管网总投资最小为目标,进行放射状油气集输管网参数优化设计。将确定性参数优化和模糊性参数优化进行对比,输油管道的管径和壁厚相比之前都有所减小,总投资相比之前节省近5.45%。In waxy crude oil production pipeline optimization design, there are usually a lot of fuzzy uncertain- ty parameters and constraints.In the past, most scholars both at home and abroad used deterministic optimization al- gorithm to calculate ignoring fuzziness.Solution sets can not really reflect the actual situation of these parameters. In this paper, considering the fuzziness of parameters will be gathering pipe network combining deterministic parame- ter optimization and fuzzy mathematics, established the gathering pipe network based on fuzzy intelligent algorithm parameters optimization of mathematical model, to pipe network for the target of minimizing the total investment for Dendritic oil and gas gathering pipe network parameter optimization design. Compared with the optimization of de- terministic parameter optimization and fuzzy parameter optimization, the pipeline diameter and wall thickness of the oil pipeline have been reduced compared with that before,and the total investment is less than 5.45% compared with the previous one.

关 键 词：参数优化 集输管网 模糊数学 隶属函数 

分 类 号：TE866[石油与天然气工程—油气储运工程]