勘探开发数据资产化管理实践与思考

doi:10.3969/j.issn.1002-302x.2020.05.005

摘要/Abstract

摘要： 勘探开发数据管理一直是油气行业信息化工作的重点和难点，数据湖成为近年油气企业数据管理的重要手段。中国海油借鉴行业领先实践经验，提出了勘探开发数据资产化管理理念。自2011年起开展勘探开发一体数据中心A2系统建设，从标准体系、管控体系、支撑平台3方面入手，贯穿数据采集、存储、使用3个阶段，形成全方位、全过程的数据资产化管理体系。A2系统创建了国内先进的勘探开发一体化数据模型及模型驱动体系，自主研发了企业级数据服务平台，实现了跨专业数据的集中展示和共享应用，减少了业务人员80%的数据搜集和编排工作量，通过为新建应用系统提供统一的数据服务，可减少新建项目30%～50%的工作量和投资费用。中国海油将以A2为基础扩展相关数据标准，将数据采集固化到业务流程，并开展勘探开发数据湖平台建设，构建支撑业务智能分析、人工智能分析的大数据服务能力。

关键词: 勘探开发, 数据管理, 数据模型, 数据资产化管理

Abstract: Management of exploration and development data has been the important but difficult part in the information work of the oil and gas industry. The data lake has become an important method of oil and gas enterprises for data management in recent years. Based on the advanced industrial practical experience, CNOOC puts forward the concept of asset management of exploration and development data. The exploration and development integrated data center (the A2 system) has been constructed since 2011. It is made up of the standards system, control system and supporting platform, covering three stages of data acquisition, data storage and data application and functioning as a comprehensive and full-process asset management system for data. The A2 system is the country’s advanced exploration and development integrated data model and model-driving system. It is independently developed as the data service platform at the corporate level, bringing about the concentrated display, sharing and application of multi-disciplinary data and saving the professionals from data acquisition and compilation by 80 percent. The unified data service can be provided on the basis of the newly-established application system, thus reducing manpower and investment of the new projects by 30 to 50 percent. CNOOC expanded the related data and standards on the basis of the A2 system, fixed the business process with data acquisition, established the platform for exploration and development data lake, and developed the big data service competence for business intelligent analysis and artificial intelligent analysis.

中图分类号:

徐鹏　高健祎　陈溯　张旭光. 勘探开发数据资产化管理实践与思考[J]. 石油科技论坛, 2020, 39(5): 34-40.

Xu Peng, Gao Jianyi, Chen Su, Zhang Xuguang. Research and Practice of Asset Management of Exploration and Development Data[J]. Petroleum Science and Technology Forum, 2020, 39(5): 34-40.

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