A Storage Platform of Petroleum Production based on MongoDB

The storage method of production data is the important factor of the informatization oilfield. Many aspects are impact on efficiency, such as data query, large-scale data analysis, data mining, real-time data compute. The most smart oilfield constructions of the Huabei Oilfield are based on SCADA or DCS system in PetroChina. There are some problems on data storage and usage by this approach, such as inconsistent data format, lacks of storage flexibility and extensibility, low data security and using rate, etc. The traditional ways are not suitable for large-scale production data storage, application and big data analysis. In this paper, a petroleum production storage platform based on MongoDB and relational database is designed. The platform is built for convert, transmission, save uniform data from mostly SCADA or DCS system, and can provide unified restful API for third-party data access. The Production Command System (PCS) is developed, which can provide functions of real-time monitoring, auto-computing different kinds of report, production data management, production schedule management, etc.