【作者】 刘静；

【导师】 徐九韵； 张旭；

【作者基本信息】 中国石油大学(华东) ， 计算机技术（专业学位）， 2018， 硕士

【摘要】 近十年来,随着网络技术的发展,世界各大石油公司如BP、壳牌、埃克森都推出了信息化战略方案。在我国,中石油、中石化旗下的各油田也都逐渐加快了信息化建设步伐。本论文来源于中石化胜利油田东辛采油厂的实际项目。东辛采油厂自1986成立以来,经过三十多年的开采,已进入特高含水(含水量超过90%)开发期,挖潜空间越来越小。近几年,采油厂又受投资、成本、开发管理、信息化建设等诸多因素的影响,稳产难度越来越大。作为中石化的下属企业,随着信息化的推进,只有做好采油厂生产过程管理、产量的监控及预警,才能达到采油厂保障稳步生产的目标。本论文将以东辛采油厂为主要研究对象,以提高生产监控及预警水平为目标,改革原有的模式,设计并实现一个采油厂产量监控及预警系统。在本论文中,阐述了利用Rational Rose对系统进行分析建模,采用了超文本预处理器(PHP),Java EE技术和Oracle数据库,以及My Eclipse对系统进行设计实现。论文首先对现有采油厂产量监控及预警的现状作了分析研究。在对系统进行可行性分析的基础上,用UML用例图的方法对系统基本功能进行了分析,绘制了一定数量的相关联的用例图,明确阐述了系统的功能需求。论文分别对需求的三大功能模块:用户信息管理、生产过程监控、产量波动预警进行了详细的模块流程设计和算法描述。同时,对数据库实际需求进行研究分析,设计了数据库的基本结构,并对数据表格进行了规划设计。最后,按照系统设计实现的基本过程,展示了各功能模块实现的界面结构图。更多还原

【Abstract】 In the past ten years,with the development of network technology,major oil companies such as BP,Shell,and Exxon have launched information strategy programs.In China,the oil fields of CNPC and Sinopec have gradually accelerated the pace of information construction.This paper comes from the actual project of Dong Xin oil production plant of Shengli Oilfield,Sinopec.Since the establishment of the Dongxin Oil Production Plant in 1986,it has entered the development period of extra high water content(water content exceeding 90%)after more than 30 years of mining and the tapping space is getting smaller and smaller.In recent years,oil production plants are becoming more and more difficult to stabilize production due to the influence of investment,cost,development management,and information construction.As a subordinate enterprise of Sinopec,with the advancement of information technology,we can achieve the goal of stable production only by improving the production process management and production monitoring and early warning of the oil production plant.This paper will focus on Dongxin Oil Production Plant,aiming at improving production monitoring and early warning levels,reforming the original model,designing and implementing a production monitoring and early warning system for oil production plants.This paper uses Rational Rose as a modeling tool for system analysis and modeling,It using hypertext preprocessor,Java EE technology,Oracle database,and My Eclipse as development tools.Firstly the status of production monitoring and early warning of existing oil production plants is analyzed in this Paper.Based on the feasibility analysis of the system,the case diagram method was used to analyze the basic functions of the system,and a certain number of associated use case diagrams are drawn,and the functional requirements of the system are clearly stated.The paper has a detailed module flow design and algorithm description for the three functional modules of demand: user information management,production process monitoring,and output fluctuation warning.At the same time,the actual needs of the database are studied and analyzed,the basic structure of the database is designed,and the data table is planned and designed.Finally,according to the basic process of the system design and implementation,the interface structure diagram of each functional module is displayed.更多还原