油藏评价管理系统的应用研究
摘要
论文第一部分简要的介绍管理信息系统(MIS)的基础概念,组成特点和开发方式。管理信息系统是一个利用计算机软硬件资源,手工作业,分析、计划、控制和决策模型以及数据库的人-机系统。它提供信息支持企业或组织的运行、管理和决策功能。管理信息系统在企业中的应用存在三要素,这就是人、计算机和数据。它的开发方式有独立开发方式、委托开发方式、合作开发方式、购买成品软件方式等4种。这4种开发方式各有优点和不足,需要根据使用企业的技术力量、资金情况、外部环境等各种因素进行综合考虑和选择。
论文第二部分概括的论述油藏评价管理系统的系统功能,采用JBilder开发工具,通过连接池访问Oracle大型数据库实现基于网络的油藏评价管理系统的需求分析,概要设计和详细设计以及实现过程。油藏评价管理系统是典型的管理信息系统(MIS),其开发主要包括后台数据库的建立和维护以及前端应用程序的开发两个方面。对于前者要求建立起数据一致性和完整性强、数据安全性好的数据库。而对于后者则要求应用程序功能完备,使用方便等特点。
论文第三部分简单的论述数据库的概念和B/S结构系统,重点的论述油藏评价管理系统的数据库设计。数据库是一种存储数据并对数据进行操作的工具。针对油藏评价管理系统的需求分析,通过对采油厂工作过程的内容和数据流程分析,设计详尽和具体的数据项和数据结构。
论文第四部分以油藏评价管理系统的设计和开发为线索,详细论述系统的具体实现方法。首先,是对本系统用到的底层类进行说明,接着详细介绍各个模块实现的功能。最后,就毕业设计和论文进行了总结。
The first part of the thesis introduced the concept of management information system (MIS), composition features and development mode briefly. Management Information System is a System which used computer hardware and software resources, manual operations, analysis, planning, control and decision-making model and the database. It provides the operation of the enterprises or organizations, management and decision of function. Management information system has three elements in the enterprise application, that is, person, computer and data.
It has four development methods which are separate development, commissioned by the development, cooperative development, the purchase of software products. These four kinds of development methods have their own strengths and weaknesses. And we should consider and choose them based on the technical, financial situation, the external environment and other factors of the enterprises.
The second part is a general evaluation of reservoir management system, using JBilder development tools, through the connection pool visit Oracle database to achieve large-scale web-based evaluation of the reservoir management system needs analysis, design and outline the detailed design and implementation process. Evaluation of reservoir management system is a typical management information system (MIS), including the development of its database background to the establishment and maintenance, and front-end application development aspects. With regard to the former request to establish strong data consistency and integrity, data security a good database. For the latter request applications fully functional, easy to use and so on.
The third part of a simple database on the concept and B / S structure, focus on the evaluation of reservoir management system for database design. Database is a data storage and data operations tool. Evaluation of reservoir management system for the needs of the Oil Production Plant work through the process of content and data flow analysis, design detailed and specific items of data and data structure.
The fourth part of reservoir management evaluation system design and development for clues, discusses in detail the specific method. First, the system used for the bottom of that category, then detailed to achieve the functions of each module. Finally, on the design and graduation thesis was summed up.
论文第二部分概括的论述油藏评价管理系统的系统功能,采用JBilder开发工具,通过连接池访问Oracle大型数据库实现基于网络的油藏评价管理系统的需求分析,概要设计和详细设计以及实现过程。油藏评价管理系统是典型的管理信息系统(MIS),其开发主要包括后台数据库的建立和维护以及前端应用程序的开发两个方面。对于前者要求建立起数据一致性和完整性强、数据安全性好的数据库。而对于后者则要求应用程序功能完备,使用方便等特点。
论文第三部分简单的论述数据库的概念和B/S结构系统,重点的论述油藏评价管理系统的数据库设计。数据库是一种存储数据并对数据进行操作的工具。针对油藏评价管理系统的需求分析,通过对采油厂工作过程的内容和数据流程分析,设计详尽和具体的数据项和数据结构。
论文第四部分以油藏评价管理系统的设计和开发为线索,详细论述系统的具体实现方法。首先,是对本系统用到的底层类进行说明,接着详细介绍各个模块实现的功能。最后,就毕业设计和论文进行了总结。
The first part of the thesis introduced the concept of management information system (MIS), composition features and development mode briefly. Management Information System is a System which used computer hardware and software resources, manual operations, analysis, planning, control and decision-making model and the database. It provides the operation of the enterprises or organizations, management and decision of function. Management information system has three elements in the enterprise application, that is, person, computer and data.
It has four development methods which are separate development, commissioned by the development, cooperative development, the purchase of software products. These four kinds of development methods have their own strengths and weaknesses. And we should consider and choose them based on the technical, financial situation, the external environment and other factors of the enterprises.
The second part is a general evaluation of reservoir management system, using JBilder development tools, through the connection pool visit Oracle database to achieve large-scale web-based evaluation of the reservoir management system needs analysis, design and outline the detailed design and implementation process. Evaluation of reservoir management system is a typical management information system (MIS), including the development of its database background to the establishment and maintenance, and front-end application development aspects. With regard to the former request to establish strong data consistency and integrity, data security a good database. For the latter request applications fully functional, easy to use and so on.
The third part of a simple database on the concept and B / S structure, focus on the evaluation of reservoir management system for database design. Database is a data storage and data operations tool. Evaluation of reservoir management system for the needs of the Oil Production Plant work through the process of content and data flow analysis, design detailed and specific items of data and data structure.
The fourth part of reservoir management evaluation system design and development for clues, discusses in detail the specific method. First, the system used for the bottom of that category, then detailed to achieve the functions of each module. Finally, on the design and graduation thesis was summed up.
引文
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[6]宋纬民,黄 刚.数据挖掘工具及其选择[EB/OL].北京:清华大学出版社,1999.
[7]AlexBerson,Stephen Smith,Kurt Thearling、构建面向 CRM 的数据挖掘应用[M].北京:人民邮电出版社,2001.8.
[8]恽爽,韩立新,董浚,等.KDW 综述:基于 Web 的数据挖掘[J].计算机工程,2003,29(1):284-286.
[9]李征.基于US和B/S模式的输电线路管理系统〔J].微计算机信息,2006,(24).
[10]程景清,林振和,刘前进.基于US和B/S模式的继电保护定值管理系统[J].继电器,2006,(1).
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[12]宏森,朱征宇.四层B/S结构及解决方案〔J].计算机应用研究,2002,(9).
[13]国信息安全产品测评认证中心.信息安全理论与技术[M].北京:人民邮电出版社,2003.
[14]邵峰晶,于忠清.数据挖掘原理与算法[M].北京:水利水电出版社,2003.
[15]Han Jiawei,Kambr Micheline.数据挖掘概念与技术[M].北京:机械工业出版社,2001.
[16]王珊.数据仓库技术与联机分析处理[M].北京:科学出版社,1999.
[17] 邹 志 文 , 朱 金 伟 . 数 据 挖 掘 算 法 研 究 与 综 述 [J]. 计 算 机 工 程 与 设计,2005,26(9):2304-2307.
[18]彭佳红,沈岳,张林峰.数据挖掘中的特征选择及其算法研究[J].计算机工程与设计,2005,26(5):1176-1178.
[19]王珊,数据仓库技术与联机分析处理,科学出版社,1998
[20]陈文伟,智能决策技术,电子工业出版社,1998
[21]王军,数据挖掘技术,计算机世界,1998(37)
[22]John, 蔡 竞 峰 , 蔡 自 兴 . 决 策 树 技 术 及 其 当 前 研 究 方 向 [J]. 控 制 工程,2005(1):15-21.
[23]Hunt E B,J Marin,P T Stone.Experiment in Induction.Academic Prees,1966.
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[27]M.Mehta,R.AgrawaI.SLIQ:A data mining.int.conf.EDBT'96 28.
[2]杨炳儒,孙海洪,熊范纶.利用标准SQL查询挖掘多值型关联规则及其评价[J].计算机研究与发展,2002,39(3):307-312.
[3]王芳,王万森.关系数据库中关联规则挖掘的一种高效算法[J].微机发展,2004,14(9):20-22.
[4]宋擒豹,沈钧毅.Web日志的高效多能挖掘算法[J].计算机研究与发展,2001,38(3):328-333.
[5]Jawei Han,Micheline Kamber 数据挖掘概念与技术[M].北京:机械工业出版社.
[6]宋纬民,黄 刚.数据挖掘工具及其选择[EB/OL].北京:清华大学出版社,1999.
[7]AlexBerson,Stephen Smith,Kurt Thearling、构建面向 CRM 的数据挖掘应用[M].北京:人民邮电出版社,2001.8.
[8]恽爽,韩立新,董浚,等.KDW 综述:基于 Web 的数据挖掘[J].计算机工程,2003,29(1):284-286.
[9]李征.基于US和B/S模式的输电线路管理系统〔J].微计算机信息,2006,(24).
[10]程景清,林振和,刘前进.基于US和B/S模式的继电保护定值管理系统[J].继电器,2006,(1).
[11]张波,张福炎.基于JSP技术的Web应用程序的开发[J].计算机应用研究,2001,(5).
[12]宏森,朱征宇.四层B/S结构及解决方案〔J].计算机应用研究,2002,(9).
[13]国信息安全产品测评认证中心.信息安全理论与技术[M].北京:人民邮电出版社,2003.
[14]邵峰晶,于忠清.数据挖掘原理与算法[M].北京:水利水电出版社,2003.
[15]Han Jiawei,Kambr Micheline.数据挖掘概念与技术[M].北京:机械工业出版社,2001.
[16]王珊.数据仓库技术与联机分析处理[M].北京:科学出版社,1999.
[17] 邹 志 文 , 朱 金 伟 . 数 据 挖 掘 算 法 研 究 与 综 述 [J]. 计 算 机 工 程 与 设计,2005,26(9):2304-2307.
[18]彭佳红,沈岳,张林峰.数据挖掘中的特征选择及其算法研究[J].计算机工程与设计,2005,26(5):1176-1178.
[19]王珊,数据仓库技术与联机分析处理,科学出版社,1998
[20]陈文伟,智能决策技术,电子工业出版社,1998
[21]王军,数据挖掘技术,计算机世界,1998(37)
[22]John, 蔡 竞 峰 , 蔡 自 兴 . 决 策 树 技 术 及 其 当 前 研 究 方 向 [J]. 控 制 工程,2005(1):15-21.
[23]Hunt E B,J Marin,P T Stone.Experiment in Induction.Academic Prees,1966.
[24]J.R.Quinlan.Induction of decision trees.Machine Learning 1986,1.
[25]J.R.Quinlan.C4.5:Programs for machine learning.Morgan Kaufmann Publisher,San Mateo,CA,1993.
[26]L.Breiman,J.H.Friedman,R.A.Olshen,and C.J.Stone.Classification and Regression rees.Wadsworth,Belmont,1984.
[27]M.Mehta,R.AgrawaI.SLIQ:A data mining.int.conf.EDBT'96 28.