基于SD-BSC的SL采油厂生产管理信息化绩效评价研究

发布时间：2018-06-21 18:36

本文选题：企业信息化 + 绩效评价　；参考：《中国石油大学(华东)》2015年硕士论文

【摘要】：信息化技术深入发展,油田开发逐步进入数字化时代。SL采油厂作为胜利油田产量最大的采油厂之一,对胜利油田油气产量起了至关重要的作用,同时也是油田信息化提升优先建设对象。生产管理信息化提升建设可以提高效率,降低操作成本,优化生产管理结构,改善员工工作环境等。但同时,生产管理信息化建设需要投入大量资金,生产管理信息化建设产生的效益与高额的建设投入可能无法平衡。为了促使SL采油厂生产管理信息化建设取得良好效果,需要运用科学的方法对SL采油厂生产管理信息化进行分析和评价,为优化SL采油厂生产管理信息化建设提供科学依据。通过收集和查阅大量的相关文献资料,对企业信息化理论,信息化绩效评价相关理论、系统动力学理论和SD-BSC理论进行研究,为后续研究做好理论铺垫。分析SL采油厂生产管理建设现状,认清SL采油厂生产管理信息化组成部分,归纳出生产管理信息化系统8个系统的建设情况和用途,理清系统对应影响的生产技术指标。基于SL采油厂生产管理信息化建设现状分析,在明确SD-BSC绩效评价指标体系构建的原则和依据前提下,按照基于BSC理论,逐步找出SL采油厂生产管理信息化绩效评价指标,进而构建起基于BSC的评价指标体系。按照已有的指标体系,分析指标间的因果关系,形成SD-BSC绩效评价因果关系图,同时调研SL采油厂、示范区及相关油田,获得有关技术参数,搭建其SD-BSC绩效评价模型。通过SD-BSC模型对SL采油厂生产管理信息化绩效进行仿真模拟,将仿真模拟数据进行效度检验,验证模型有效性、科学性。接着以SD-BSC模型模拟结果进行深入分析,通过模型参数调整分析,相关性分析,最终得到SL采油厂生产管理信息化绩效评价结果。为优化SL采油厂生产管理信息化提升建设提供数据支撑。最终根据研究内容提出提高SL采油厂生产管理信息化的对策和建议,并总结出本文的研究结论。
[Abstract]:With the further development of information technology, oil field development has gradually entered the digital era. SL oil production plant, as one of the largest oil production plants in Shengli Oilfield, plays a vital role in oil and gas production in Shengli Oilfield. At the same time, it is also the priority construction object of oilfield informatization promotion. Improving the construction of production management information can improve efficiency, reduce operation cost, optimize production management structure, and improve the working environment of employees. But at the same time, the production management information construction needs to invest a lot of funds, the benefit of the production management information construction may not be balanced with the high construction investment. In order to promote the production management information construction of SL oil production plant to obtain good results, it is necessary to use scientific methods to analyze and evaluate the production management information of SL oil production plant, and to provide a scientific basis for optimizing the production management information construction of SL oil production plant. Through collecting and consulting a large number of relevant documents, this paper studies the theories of enterprise informatization, information performance evaluation, system dynamics and SD-BSC, which can pave the way for further research. This paper analyzes the present situation of production management construction in SL oil production plant, recognizes the information components of production management in SL oil production plant, sums up the construction situation and use of 8 systems of production management information system, and clarifies the corresponding production technical indexes affected by the system. Based on the analysis of the present situation of production management information construction in SL oil production plant, under the premise of defining the principle and basis of constructing SD-BSC performance evaluation index system, according to BSC theory, the performance evaluation index of production management information of SL oil production plant is found out step by step. Then the evaluation index system based on BSC is constructed. According to the existing index system, the causality relationship between the indicators is analyzed, and the SD-BSC performance evaluation causality diagram is formed. At the same time, the SL oil production plant, demonstration area and related oilfields are investigated, and the relevant technical parameters are obtained, and the SD-BSC performance evaluation model is built. Based on SD-BSC model, the production management information performance of SL oil production plant is simulated, and the validity of the simulation data is tested to verify the validity and scientificity of the model. Then the simulation results of SD-BSC model are analyzed in depth, and the results of performance evaluation of production management informationization in SL oil production plant are obtained by adjusting the model parameters and analyzing the correlation. To optimize SL oil production plant production management information construction to provide data support. Finally, according to the research content, the countermeasures and suggestions to improve the production management information of SL oil production plant are put forward, and the research conclusions of this paper are summarized.
【学位授予单位】：中国石油大学(华东)
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F426.22;F270.7;F273

【参考文献】