Digital Oil Field Data Management Based on Data Grid

Man Yuan, Xiaoli Guo, Rui He, Jianping Hu · 2009

With the development of Internet and computation technique, many areas begin to process their own area data more accurately. Especially, oil field area involves many disciplinary area data, such as physical geography disciplinary, geological disciplinary, reservoir engineering disciplinary and so on, data from simple character type to complex bulk data volume type. How to effectively manage these distributed data is always a hot potato for the oil field companies, recently, many oil companies begin to construct their own data center, however, only some topic data for research is stored in data center, it does not implement real uniform data management. Data grid technique is proposed for solving these issues, it regards data management issues as service management, and it solves data management issues puzzled people. According to these facts, a digital oil field framework based on data grid technique is proposed. We think this framework is able to solve oil field data management issues and provide all kinds of users with interested data.

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