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Analysis on Cloud Data Service Platform for Digital Oilfields

机译：数字油田云数据服务平台分析

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摘要

Digital oilfields are highly complicated information systems, and their size increases as the enterprise scale expands. Cloud computing as a new service model has been gradually extended from the traditional IT industry to traditional industrial domains, but research on and the application of the digital oilfield cloud platform remain lacking. By introducing the reference frame of the integrated platform of oil enterprises at home and abroad, we adopt the design method of the integrated architecture of enterprises and the metadata-based object-oriented development model based on the design concept of cloud computing to identify efficient and inexpensive information platform solutions. Research is conducted on a cloud data service management system for digital oilfields. The overall structure of the cloud platform for digital oilfields is divided into five layers of infrastructure, data resources, functional services, applications, and terminal access and into two support subsystems, namely, cloud information specifications and standards and cloud service management platform. The cloud data service platform is generalized as an architecture with "a center, three layers, two buses, and two sub-functional systems." Results show that the cloud data management system performs the four core functions of model, data bus, data service bus, and data quality control management. Furthermore, integrating cloud computing into the transformation and upgrading of traditional industries is feasible and applicable to other related fields.
机译：数字油田是高度复杂的信息系统，其规模随着企业规模的扩大而增加。云计算作为一种新的服务模式已经逐渐从传统的IT行业扩展到传统的工业领域，但是数字油田云平台的研究和应用仍然缺乏。通过介绍国内外石油企业集成平台的参考框架，我们采用企业集成架构的设计方法，并基于云计算的设计理念，基于元数据的面向对象的开发模型，以识别高效，高效的企业。廉价的信息平台解决方案。针对数字油田的云数据服务管理系统进行了研究。数字油田云平台的总体结构分为基础设施，数据资源，功能服务，应用和终端访问五层，分为云信息规范和标准以及云服务管理平台两个支持子系统。云数据服务平台被概括为具有“一个中心，三个层，两个总线和两个子功能系统”的架构。结果表明，云数据管理系统执行模型，数据总线，数据服务总线和数据质量控制管理的四个核心功能。此外，将云计算整合到传统产业的转型升级中是可行的，并适用于其他相关领域。

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