Abstract: The data involved in the field of oil-well-engineering are distributed, heterogeneous and autonomous, and there is also a complex semantic association among them Under this circumstance, effective global support for decisionmaking is difficult to ensure. Using integration technology of ontology and virtual view, this paper presented a virtual data center solution for oil-well data integration. Through global-ontology construction, ontology extraction, ontology mapping and query conversion, the data in oil-well engineering field can be semantically integrated. Consequently, a unified and semanti}based data query and shared services were achieved. By practical application, this virtual data center is able to supply production decision with comprehensive and real-time data services.

Key words: Virtual data center, Ontology, Semantic mapping, Oil-well engineering