基于数据库的混输管道水力热力插值计算方法研究

发布时间：2018-01-24 10:50

本文关键词： 油气水三相流水力热力插值计算环道试验软件编程　出处：《东北石油大学》2017年硕士论文　论文类型：学位论文

【摘要】：油气水混输管道水力热力计算是油田集输管网设计和运行方案的制定的重要组成部分。直接利用现有的水力热力计算方法计算油气水三相混输管流,其计算结果往往与现场实际运行结果偏差较大,从而直接导致管道投资以及运行费用的增加。考虑到已建并投入运营的管道数据可以借鉴,本论文提出了基于数据库采用插值方法进行管道水力热力的设计计算的思路。首先提出了数据库采集录入标准,按照数据库采集标准录取环道进出口以及各测试点的油流量、气流量、水流量、压力、温度等数据,为插值算法提供了基础数据;其次对水力热力计算方法进行了理论分析,在水力计算中,摩阻压降影响因素较多且关系式比较复杂,同时还受流型影响较大,所以现有的商业软件的计算误差都比较大,因此尝试了对摩阻压降进行插值计算。根据敏感性分析的结果,选取用于插值的数据样本,最终确定以管径、输量、管长这个次序来筛选相应的已建管道,在此基础上进一步优选出更适于插值计算的管道数据。在热力计算中,总传热系数K值是温降计算的关键,而K值的影响因素较多,因此尝试了对K值进行插值计算。根据敏感性分析的结果,确定以管径、含水率、流量这个次序筛选数据库中已建管道,在此基础上进一步优选出更适于插值计算的管道数据作为温降插值计算的样本;最后在建立水力热力插值计算算法的基础上,编制相应的插值计算软件,以数据库中环道试验数据、海拉尔-贝中转油站至德二联输油管道、英买力、迪娜等现场数据作为基础数据对环道、海拉尔油田的苏嵯管道进行了水力热力插值计算,并与PIPEPHASE软件及OLGA软件计算结果进行对比分析,结果表明:插值预测法的计算误差比PIPEPHASE、OLGA等商业化软件精度高30%以上。
[Abstract]:The hydraulic thermodynamic calculation of oil-gas-water mixed pipeline is an important part of the design and operation plan of oil-field gathering and transportation pipeline network. The existing hydraulic and thermal calculation method is directly used to calculate the oil-gas-water three-phase mixed pipeline flow. The calculation results often deviate greatly from the actual operation results, which directly leads to the increase of pipeline investment and operation cost. Considering the pipeline data that have been built and put into operation, it can be used for reference. This paper puts forward the idea of using the interpolation method to design and calculate the pipeline hydraulic-thermal power based on database. Firstly, the standard of data acquisition and input is put forward. The data of oil flow, gas flow, water flow, pressure, temperature and so on are recorded according to the standard of data acquisition, which provides the basic data for the interpolation algorithm. Secondly, the hydraulic and thermodynamic calculation method is theoretically analyzed. In the hydraulic calculation, there are many factors affecting the frictional pressure drop and the relationship is more complex, and the flow pattern also has a greater impact on the hydraulic calculation. Therefore, the calculation error of the existing commercial software is relatively large, so we try to interpolate the friction pressure drop. According to the results of sensitivity analysis, we select the data sample for interpolation, and finally determine the pipe diameter and transport volume. The pipe length is used to select the pipeline data which is more suitable for interpolation calculation. In the thermodynamic calculation, the total heat transfer coefficient K is the key to the calculation of temperature drop. The K value is affected by many factors, so we try to interpolate the K value. According to the results of sensitivity analysis, we determine the order of pipe diameter, water content and flow rate to filter the pipeline built in the database. On this basis, the pipeline data, which is more suitable for interpolation calculation, is selected as the sample of temperature drop interpolation calculation. Finally, on the basis of the establishment of hydraulic and thermal interpolation calculation algorithm, the corresponding interpolation calculation software is compiled to database the data of Central Road test, Hailaer-Bay transit station to Germany dual oil pipeline, Yingmai. Dina and other field data are used as the basic data to calculate the hydro-thermal interpolation of the Su-ao pipeline in Hailaer Oilfield, and the results are compared with those calculated by PIPEPHASE and OLGA software. The results show that the calculation error of interpolation prediction method is more than 30% higher than that of commercial software such as PIPEPHASEN OLGA.
【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】：TE832

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