Aiming at the application requirements of the archives knowledge achievement of oil-gas field enter-prises,based on business-related multi-source heterogeneous data,knowledge achievements and expert experience,this paper uses artificial intelligence technology such as the knowledge graph to build a relational knowledge base to realize the intelligent search and intelligent recommendation of information resources in this field and provide data and algorithm support for CBM file management,so as to achieve the scenario-based landing goal of cognitive computing technology in the field of oil and gas field engineering technology,make a useful exploration of the ap-plication of more intelligent technologies in oil and gas fields,and help the digital and intelligent transformation of the field.
关键词
油田工程技术/煤层气/知识图谱/智能检索/档案管理
Key words
Oilfield engineering technology/Coal bed gas/Knowledge graph/Intelligent retrieval/Archives manage-ment
维普
万方数据