| Digital oilfield is a very complex integrated information system, and with the continuous expansion of business scale and business needs,enterprise will constantly raise more new and higher requirements for digital oilfield construction. So the system would become more large and complex. In order to cope with the fierce challenges, enterprises need to build digital oilfield hand to meet evolving business needs; it is also necessary in intensive management, driven to seek more efficient and inexpensive solutions to enhance the competitiveness of enterprises. Cloud computing as a new service model, is to provide an innovative ideas and opportunities for the digital oilfield construction aspects. At the same time, the data is just like the blood, which throughout the whole process of digital oilfield. To some extent, digital oilfield construction is the database building, if there is no data, oil enterprise information is just like a castle in the air. Therefore, through the integration of advanced information technology such as cloud computing, to build an integrated data integration platform which can provides unified data services to enhance the level of information oilfield applications, seems to have become the main direction for the development of information technology field.In this paper, on the basis of the theoretical framework of the digital oilfield, and aim at major problems that exiting in data integration platform, such as the dispersed and poor expansibility of the database architecture, inadequate support for application systems, and data quality problem etc, author raise one proposal which is to build cloud data service platform oriented to the digital oilfield, and achieves the first domestic oil companies HPC(high performance computing) deployment of cloud infrastructure management systems, and solves three key issues such as center database building,enterprise service bus building and data quality control, and implement the cloud service platform management system through the deployment of software development. Finally, take the upstream information platform Dagang Oilfield for example, respectively from the cloud infrastructure management systems and cloud data service management system two aspects, to display and analysis the application effect of cloud services platform oriented to digital oilfield.Specifically, the main contents and achievements of paper include:(1)Total solution of cloud data service platform oriented to the digital oilfield: taken from whole to part, from the inside to the outside of research ideas. First, start from the research of the theoretical foundation of cloud computing and based on the theoretical framework of the digital oilfield, reference for typical examples of digital oilfield system architecture at domestic and oversea, and proposes the theoretical framework of the cloud platform for digital field; then, on this basis,take data as the main object of research and proposes the “one center,three levels, two buses and two sub-functions of the system," the cloud data service framework oriented to the digital oilfield services architecture, a center that is a center of the center database, three levels namely: data source layer, the center database and application layer, two buses namely: data integration bus, a data service bus, the two sub-functions of the system shall be: infrastructure management subsystem and cloud data service management subsystem. In view of the present situation of oilfield enterprises are usually equipped with a large number of high performance HPC server, presents a scheme of building cloud infrastructure management system based on HPC, and achieve the domestic oil companies the first cloud infrastructure management system deployment,effectively improve the utilization efficiency of software resources.(2) Building of center database in cloud data service platform: first,the paper develop an investigation and analysis aim at present situation of China’s oil companies building the database, selected with China Petroleum Exploration and Development data model EPDM(Exploration &Production Data Model) as a prototype and templates, and through research of design specifications, design patterns and extend process for center database model, forms one complete technical process and methods of design and expansion of the center database model to effectively respond to the challenges of center database model research from evolving needs of the business, and realize the integration and construction of center database model in domestic oilfield enterprises first real sense of exploration and development; then, for the three-tier architecture features of cloud data service platform is proposed for the data integration bus construction scheme, and uses mature ODI(Oracle Data Integration) data integration toolto achieve a seamless integration of sources data layer and the center database layer; finally, realizes the software development of model management and data integration bus management function module in cloud data service management system.(3) Building of enterprise service bus in cloud data services platform:first through investigation and summarizes the theoretical foundation for SOA(Service Oriented Architecture) technologies, and on the basis of the present situation of China’s oilfield enterprise data services analysis,the paper proposes the architecture and management model of enterprise service bus based on SOA; then, in the face of China’s oil companies in the business application layer of the present situation, proposes the design solution of data service interface respectively, for legacy applications, new software applications and specialized commercial software, on the one hand to achieve the center database and the existing self-built application systems and specialized commercial software integration at the data level, while also initially completed the design solution of unified data interface for new applications to enhance the collaboration and data sharing capabilities for application service levels;and finally, realized software development of data service management function module in cloud data services management system.(4) Research on data quality control in cloud data service platform:aim at data integration process for the presence of major data quality issues, this paper based on theory of data quality control research,analyzes the current situation of the data management field, especially for the data quality problems to be solved, put forward to solve the quality control system based on metadata management scheme, initially developed a data quality control system for the center of the main flow of the library,on the whole can be divided into: meta-data extraction, data quality control testing standards developed, four key steps of data scanning and publicity issues and problems, such as data processing and confirmation; clear response data quality control, and on this basis, respectively, for integrity constraint specification of constraints and business rules to develop a preliminary quality test specification; Finally, realized software development of data quality control function module in cloud data service data management system.(5) Application examples and effect analysis of prototyping platform:using Petro China Dagang Oilfield Company upstream operations research as example, in infrastructure layer, cloud management system to achieve a self-intelligent cluster deployment, mainstream application systems integration, operations management, and unified comprehensive application resource monitoring report analysis and other functions; in cloud data service management system to achieve the visual management model, data integration management, application "one-stop" service and data quality control data online processing and other functions.Through the practice of cloud data services architecture research oriented to the digital oilfield, it can draw the following conclusions.(1) In this paper, under the guidance of the digital oilfield theoretical framework, by introducing cloud computing technology, propose the overall solution of cloud data service platform oriented to the digital oilfield, and solve the three key technical problems, to effectively deal with the current issues and challenges in the field of data management faced reached targets, but also to verify the correctness of its ideas, play a valuable role in the follow-up study and work.(2) In this paper, according to the application system of oil field enterprise deployment status, respectively for legacy applications, new applications and commercial software,and preliminary realized the design data service interface scheme, for subsequent research for the digital oilfield cloud services platform laid an important foundation with a strong theoretical and practical value. |
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