油气集输系统生产运行参数模糊优化技术研究

发布时间：2018-03-15 09:52

本文选题：二叉树　切入点：模糊优化　出处：《东北石油大学》2017年硕士论文　论文类型：学位论文

【摘要】：油气集输系统作为油田生产中的主要环节,一直是耗能大户之一,具有很大的节能空间。为了降低系统能耗,目前一般采用确定性的运行参数优化模型来指导生产。但由于油品凝点等参数具有不确定性,集输系统中含有模糊成分,采用确定性优化方法来解决系统降耗问题具有一定的局限性。针对这一问题,本文针对油田常用的双管掺热水集输系统,开展了运行参数模糊优化技术研究。取得以下成果:首先,分析了双管掺热水流程管网结构特点,结合水力热力模型,用二叉树描述了管网参数及结构。在此基础上,建立了基于二叉树数据结构的管网参数计算方法,应用该方法可在计算机上实现管网的模拟运行。该方法具有占用资源较少、节省存储空间等优点。其次,以接转站能耗费用最省为目标,结合二叉树管网参数计算方法,建立了确定性生产运行参数优化模型。该模型是高度非线性含约束优化问题,先应用层次聚类减少求解变量,外罚函数消除约束,然后使用遗传算法实现模型求解。再次,在确定性参数优化模型基础上,使用隶属函数描述接转站回油温度及井口回油压力,得到了模糊参数优化模型。该模型是目标确定、约束模糊的非线性模糊优化问题,先应用最优水平截集法将其转换成两个确定性优化问题,然后使用确定性模型的求解方法实现对模型求解。最后,基于上述研究成果,结合软件工程学原理及数据库技术,研制了“双管掺热水集输系统运行参数模糊优化平台”。该软件可实现对双管掺热水集输系统运行参数的确定性及模糊优化。应用该软件对大庆油田两个区块进行优化计算,确定性及模糊优化的结果都明显优于优化前的生产实际,但模糊模型进一步优化的空间较小。模糊优化与确定性相比,掺水及耗电略有上升,耗气量减少,接转站能耗费用降低。
[Abstract]:Oil and gas gathering and transportation system as a major role in the oilfield production, has been one of the major energy, has great energy-saving space. In order to reduce the energy consumption of the system, the current commonly used parameter optimization model to guide the production operation. But due to the uncertainty of parameters such as oil pour point is uncertain, the gathering system contains fuzzy composition, using deterministic optimization method to solve the problem and the system has certain limitations. In order to solve this problem, based on the double mixing hot water used in oil gathering and transportation system, to carry out the operation parameters of the fuzzy optimization research. Research results are as follows: firstly, analysis of the double mixing hot water pipeline network characteristics, combined with thermo hydraulic model, structure and parameters of the network described by the two fork tree. On this basis, presents a method of calculating the parameters of the network two binary tree based on the data structure, the method can be applied in the computer. The simulation run network. This method has less resource consumption, saving storage space and other advantages. Secondly, the station of energy cost the province as the goal, combined with the calculation method of the two fork tree network parameters, the deterministic operation parameters optimization model. The model is highly nonlinear constrained optimization problem, using hierarchical clustering reduce the solution variables, the penalty function to eliminate the constraints, and then use genetic algorithm to solve the model. Thirdly, based on the model parameter optimization, using membership function to describe things back to the oil temperature and oil pressure wellhead back force, get the fuzzy parameter optimization model. The model is determined, fuzzy nonlinear optimization problem with fuzzy constraints, first using the optimal level cut method to convert it into two deterministic optimization problem solving method, and then use the deterministic model to solve the model. Finally, based on the The research results, combined with the principle of software engineering and database technology, developed "fuzzy optimization platform" system operation parameters of double tube mixing hot water set. To achieve deterministic and fuzzy optimization of transmission system operation parameters of double mixing hot water set can be optimized. The software of Daqing oil field two blocks of the application, and uncertainty the results of fuzzy optimization are significantly better than the actual production before optimization, but less space to further optimize the fuzzy model. Fuzzy optimization and uncertainty compared with water and electricity consumption increased slightly, the gas consumption reduced energy consumption, transfer station costs reduced.

【学位授予单位】：东北石油大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TE863

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