Study On Cloud Computing Platform Of Oil Big Data

With the rapid development of Internet technology, massive data in the different industries increase rapidly, the whole society has been slowly coming into DT(Data Technology) era from IT(Information Technology) era, data has become the core competitiveness of a country, a company, and various industries began to put great importance to data and expect to achieve a revolution in the industry by data-driven. In this context, revolution in the oil industry also began to quietly come, and advanced oil companies began to study mass data storage, analysis, applications, big data has become the trend of the future development of the oil industry.In the face of the huge amount of data, complex data structure, various oil data types, database and computing power of the traditional oil companies has nothing, oil companies not only need to meet evolving business needs, but also need to be more efficient intelligent solutions to enhance the core competitiveness of enterprises in the case of technology-driven. However, cloud computing as a great technology revolution of Big Data era provides innovative ideas and opportunities. We know that the data resources is the core competitiveness of today’s society, oil companies are increasingly paying attention to the of the data, if there is no data, oilfield enterprise information is in the air. Therefore, in the context of Oil Big Data, we need to take all advantage of the cloud computing technology so that to design a comprehensive data platform for big oil data, to provide a unified platform for cloud application management system. It has become Oilfield mainstream of information technology development.Therefore, as for database construction is dispersed, system scalability is poor, professional application support is not enough and so on in data sharing platform construction process, this paper is envisaged the construction of oil big data cloud platform solutions, proposed infrastructure cloud platform deployment and cloud database design, and cloud data application architecture and other three issues basing on the theoretical framework of cloud computing.Specifically, the main research content and achievements include:(1) Having completed the design of the oil big data infrastructure cloud platform. Features of oil big data have large amount of data, different kinds of data, slow data processing. Through infrastructure cloud platform that huge great of data resource can be stored in the distributed hardware and software resources, and can be reasonably intelligent allocated, and can be supplied for supply-demand user of the upper layer so that the users schedule randomly data resources. On the infrastructure cloud platform, users only need to log into the account with the cloud on the desktop, then choose the corresponding professional application software for data analysis, reservoir modeling and three-dimensional seismic interpretation based on business needs, and have completed the integration of integrated application platform of sharing of resources to achieve cluster deployment, configuration task automation, resource scheduling and intelligent allocation.(2) Having completed the cloud database construction of EPDM-based model. Cloud database can be effective in a variety of heterogeneous data storage, but also to meet changing business needs, facilitate better data expansion and new. The cloud database by designed not only meet to store a variety of data sources, it but also can ensure high value and high credible data, and rarely duplication of data, it is even more important to have a uniform data standards, and be able to share data for the users of different regions, different times that make them use the greatest value of the data.(3) Having achieved the application management system of oil big data in the cloud platform. On the current application of information technology systems, massive heterogeneous oil data are stored discretely on different computing nodes, there is no link between computing resources, business demand data are scattered in different applications such that the top decision-making is difficult to accurately and timely access to oil enterprise data sources. To this end, the paper has completed the hardware and software resources of the service on the basis of the cloud infrastructure platform, if users want to get any data resources, we need to build a cloud management system of oil big cloud, and establish various types of data access to services, and transform data resources into a service that improve the efficiency of resources use data.This paper draws the following conclusions from practical results calculated by the cloud platform architecture research of oil big data:(1) In the context of oil big data, through the introduction of cloud computing technology, this article proposes cloud computing platform architecture of oil big data, and solves the key technical problems, and attempts to explore solutions to the storage and application of oil big data, and reaches expected targets, but also to verify the correctness of their ideas, and play a valuable role as a follow-up study and work.(2) In the paper, considering our oilfield enterprise applications realities of legacy applications, new applications and business software systems, the respective application interfaces are designed so that they can provide important technical support for data applications system study of the cloud computing platform of oil big data, so they have strong theoretical and practical value.