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基于Ontology井史数据集成方法的应用研究 被引量:4

Research on the data integration for well history databases based on ontology
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摘要 根据中国石油钻井井史管理系统的特点,针对钻井领域数据量大、关系复杂、分布、异构、自治等当前存在的问题,创新地提出了新一代井史异构数据集成方法"基于Ontology井史异构数据集成",该方法从语义集成的角度彻底消除数据源之间数据异构问题,实现各油田井史数据高效集成、共享。对方法的原理及实现步骤进行了详细阐述,建立了钻井领域本体库基础模型,实现了油田关系型井史数据库到钻井领域本体库之间的关联映射。实例分析证明,该方法在井史数据集成过程中高效可行,集成效果良好。 In view of the characteristics of CNPC(China National Petroleum Corporation) well history management system and existing problems in drilling information,such as the magnitude of drilling data,complicated relations,inhomogeneous distribution,heterogeneity,autonomy,etc,a new integrated scheme based on Ontology is proposed for heterogeneous drilling data.Taking advantage of semantic integration,the new scheme can completely eliminate data heterogeneity among data sources and realize the most effective integration and sharing of different well history data for each oil and gas field.This paper elaborates on the work principle and implementation procedure of the new scheme,establishes the fundamental model for bulk database of drilling field based on ontology,and achieves correlative mapping from oil field's relational database to drilling field's ontology.Case analysis confirms that this scheme is effective and feasible in heterogeneous data integration field.
出处 《信息技术》 2011年第3期5-10,46,共7页 Information Technology
基金 新疆油田横向专项项目(08KY-015)
关键词 ONTOLOGY 数据集成 方法 模型 映射 ontology data integration scheme model mapping
作者简介 崔猛(1980-),男,在读博士研究生,现为中国石油集团钻井工程技术研究院工程师。
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参考文献6

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