普光智能气田岗位数据流分析方法

岗位数据采集是数据资源中心建设的重要组成部分之一且直接关系到后者的质量和水平,普光气田数据采集过程中存在着各专业数据库异构建设、数据无法共享、标准不一、多头采集、冗余存储、管理困难等问题。为了实现面向生产岗位、全业务链提供数据服务和应用,在岗位中实现数据采、存、管、用一体化的目标,基于中国石化勘探开发数据模型及源头数据结构设计,结合普光气田的实际业务,分析岗位业务关系、数据流业务流程和业务数据元素,以紧密相关的一组数据作为数据集合,分析数据的传递和相互间的作用,建立了满足普光智能气田建设要求的岗位数据流分析方法,形成了一套较为完善的资产化数据资源管理体系,并进行了现场应用验证。结论认为:(1)较之于传统的数据分析方法,普光智能气田岗位业务数据流分析方法创新了数据流向分析,以业务流程为驱动、岗位场景为验证,实现了岗位数据的统一采集、集中存储、共享使用和统一管理,取得了良好的应用效果;(2)该研究成果提供了技术路线、可行方法和标准模板,可推广复用。

A post-data flow analysis method for the Puguang Intelligent Gas-field Project

Post data collection is an important part in the construction of data resource center, and it is directly related to the construction quality and level. The data collection in the Puguang Gas Field is faced with heterogeneous construction, data non-sharing, different standard, multi-source collection, redundant storage and difficult management of different professional data bases. In order to provide data services and applications for production posts and full service chains and realize the integrated data collection, storage, management and utilization in the post, the post business relationship, data flow business process and business data elements were analyzed based on Sinopec's exploration and development data model and the structure design of source data, combined with actual business of the Puguang Gas Field. Then, the transmission and interaction of data were investigated with a closely related set of data as the data set. In this way, a post data flow analysis method which meets the construction requirements of the Puguang Intelligent Gas-field Project was established, and a complete set of asset-based data resource management system was developed. Finally, they were applied on site for verification. It is indicated that compared with the traditional data analysis methods, the post-data flow analysis method is more innovative with better application effect. It realizes unified collection, centralized storage, shared use and unified management of the post data with the business process as the driving force and the post scenario as the verification. These research results provide the technical route, feasible methods and standard templates and they are worth popularizing and applying.