Analysis And Design On Optimizing Decision Support System For Electricity-Supplying Network Of Oil Field

Excessive depletion of energy and the increasing in production cost are the most important factors that prevent the development of Chinese oil enterprises. Electricity-supplying networks use up most of the energy during the oil productive process. So it is of most importance to propose a scientific manner to promote the operation efficiency and decrease the exhaustion of the network in practice. This paper based on the renovation of the old electricity network in Da-Qing oil field deeply conducts survey on the current exhausting status of the electricity, and after analysis and calculation, a large number of data was obtained, which can contribute to design the optimizing decision support system. The paper firstly sums up the relative theory and development trend of Decision Support system (DSS), mainly including the decision-making supporting function, the features, the structure and the major mission of DSS. Subsequently, the paper lays emphasis on the research of the electricity requirement, energy-exhausting analysis and network optimum programming method for the second oil-mining factory of Da-Qing oil field, and then provides the principle of the network programming and the framework for designing DSS according to the requirement of optimizing the layout of network, saving energy and timely supervising. Following the former analysis and design, the paper finally conducts the development and debugging of the Decision Supporting System based on the software engineering theory. The development of the optimizing decision support system for electricity-ration network can serve as a scientific base for saving energy and optimizing electricity-supplying network.