基于机采和集油系统整体的掺水参数优化

发布时间：2018-01-19 14:09

本文关键词： 三相流型数值模拟神经网络系统能耗系统收益　出处：《燕山大学》2015年硕士论文　论文类型：学位论文

【摘要】：目前,石油行业中的三相流理论还处于研究初期,流型分类多且复杂。不论是在垂直井筒或者水平集输系统中,还没有公认的理论模型和计算公式。对于水平集油管网,研究内容主要包括三相流型分类和压降计算,但是压降计算结果和现场实际工况吻合不是很理想。本文针对上述情况,进行了如下研究工作:首先,根据三相流理论,建立了水平集油环压降模型,采用杜克勒第一法、杜克勒第二法、贝克、肖恩-布里尔4种不同的方法计算压降,仿真了集油环上的节点压力以及井口油压。其次,采用正交试验法,利用FLUENT软件对水平集油管道内的油气水三相流进行模拟,模拟了水平集油管网在不同流变参数下的三相流型结构图。借助MATLAB软件平台应用BP神经网络识别模式,建立了智能识别水平集油管网中三相流型的方法。然后,将抽油机井地面装置、井下抽油杆柱、抽油泵作为整体,综合考虑油井生产参数和杆柱组合参数,应用机械系统动力学建立了悬点示功图仿真模型、电机功率仿真模型和油井产量仿真模型。以泵端载荷和悬点位移为边界条件,通过求解波动方程,研究了油井油压对机采系统输入功率、油井产液量的影响规律。最后,将集油和机采系统结合起来整体研究。以集输管网作为研究对象,考虑管网结构参数、管网走向、环境温度等参数,建立了井口油压与集输系统运行参数之间的关系,研究了集油系统运行参数对油井油压的影响规律;将集输系统掺水量、掺水温度作为设计变量,在不同的掺水参数组合情况下,根据建立的集输系统能耗和收益模型,以系统能耗最低和系统收益最大为目标函数,应用优化方法,确定集输系统合理运行参数。
[Abstract]:At present, the theory of three-phase flow in petroleum industry is still in the early stage of study, the flow patterns are many and complex, whether in vertical wellbore or horizontal gathering and transportation system. There is no accepted theoretical model and calculation formula. For the horizontal tubing network, the research mainly includes the classification of three-phase flow patterns and the calculation of pressure drop. However, the results of pressure drop are not in good agreement with the actual working conditions. In this paper, the following research work is carried out: firstly, according to the three-phase flow theory, the pressure drop model of the horizontal oil gathering ring is established. The first method of Dukler, the second method of Dukler, Baker and Shawn-Brill are used to calculate the pressure drop, and the nodal pressure and wellhead oil pressure on the oil gathering ring are simulated. Secondly, the orthogonal test method is used. The three-phase flow of oil, gas and water in horizontal oil gathering pipeline is simulated by FLUENT software. The three-phase flow pattern of horizontal oil gathering pipe network under different rheological parameters is simulated. BP neural network is used to identify the pattern with the help of MATLAB software platform. The intelligent identification method of three-phase flow pattern in horizontal oil gathering pipe network is established. Then, the surface device, downhole sucker rod string and pumping pump are taken as a whole, and the production parameters and the combination parameters of rod string are considered synthetically. The simulation model of hanging point dynamometer, motor power simulation model and oil well output simulation model are established by using mechanical system dynamics. The wave equation is solved under the boundary condition of pump end load and suspension displacement. The influence of oil pressure on the input power and fluid production of oil production system is studied. Finally, the oil gathering and oil recovery system are integrated into the whole study. The pipeline network is taken as the research object and the structural parameters of the pipeline network are considered. The relationship between the wellhead oil pressure and the operating parameters of the gathering and transportation system is established, and the influence of the operating parameters of the oil gathering system on the oil pressure of the oil well is studied. Taking the water quantity and temperature of the gathering and transportation system as the design variables, according to the energy consumption and income model of the gathering and transportation system, the energy consumption and the income model are established under the condition of different mixing parameters. Taking the lowest energy consumption and maximum system income as objective functions, the reasonable operation parameters of gathering and transportation system are determined by using optimization method.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE355.5;TE86

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