With the arrival of the era of "big data" , industry located in every part of modern world are facing unprecedented challenges. The data involved in exploration and development of oil fields are known as their multi-disciplinary complexity, large-scale quantity and various types. Simultaneously, these terabytes of data are increasing with geometric progression. In this paper, by managing the information of the exploration and development such as specialized data, achievements and knowledge, an integrated data management model and an infrastructure are built on a cluster of computers to solve such "big data" problems as cross-multiplexing, holographic visibility and knowledge transmission seated in oilfield practical applications. Finally, a practical application is presented for resource exploration and development and production.%随着“大数据”时代的到来,社会各个行业都面临着前所未有的挑战.数以TB计、并以几何级数增长的油田勘探开发数据亦以其学科复杂、规模巨大,类型多样而著称.文中通过管理勘探开发各专业数据、成果,知识等信息,在计算机集群上构建油田勘探开发一体化数据管理模型和数据访问基础架构,从而解决油田实际应用中所面临的“大数据”问题,即交叉复用、全息可见、信息传承.最后,通过实例展示“大数据”在资源勘查和开发生产中的应用.
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