提升数据的资产化程度,保障数据资产的快速交付、敏捷应用和高效查询是智能油气田数据资产管理的核心业务关注点,分析研究了智能油气田数据资产管理的目标、内容和方法,提出了一种基于固定码的数据编码方法,形成了数据编码模型和规则。利用数据编码模型和规则建立的数据编码可对智能油气田物理实体对象与描述物理实体对象的数据进行关联,并进一步推动智能油气田通过“数据生态”支撑的“应用生态”建设,促进数据资产价值的持续释放。同时,还探讨了数据编码的应用方法和场景,为智能油气田数据资产管理的研究者和实践者提供数据编码的技术指导。

 The core business of data asset management in intelligent oil and gas fields include enhancing the degree of managing data as an asset, ensuring fast delivery, agile application and highly efficient data search and access of these data assets. This paper presents the findings of a study that analyzes the objectives, contents and methods of data asset management of intelligent oil and gas fields, and proposes a data coding model and its coding rules based on fixed code. Such coding model and rules can associate the physical entity objects of the intelligent oil and gas field and the data describing the physical entity objects. Meanwhile, the development of intelligent oil and gas fields using“applied ecology”as supported by“data ecology”is further enhanced, promoting the continuous release of the value of the data asset. Finally, discussion over the application methods and scenarios of data coding has been carried out, which provides methodological and technical reference for researchers or practitioners of data asset management in intelligent oil and gas fields.