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基于知识图谱的煤层气档案管理系统建设

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面向油气田企业档案知识成果应用需求,基于业务相关的多源异构数据、知识成果及专家经验,利用知识图谱等人工智能技术构建关系化知识库,实现该领域信息资源的智能搜索与智能推荐。同时为煤层气档案管理提供数据及算法支撑,从而达到认知计算技术在油气田工程技术领域的场景化落地目标,为油气田更多智能化技术应用进行了有益探索,助力该领域的数字化和智能化转型。
Construction of CBM File Management System Based on Knowledge Graph
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.

Oilfield engineering technologyCoal bed gasKnowledge graphIntelligent retrievalArchives manage-ment

张月、李宇新、梁学敏

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中石油煤层气有限责任公司勘探开发研究院 北京 100028

中石油煤层气有限责任公司忻州采气管理区 山西太原 030000

油田工程技术 煤层气 知识图谱 智能检索 档案管理

2024

科技资讯
北京国际科技服务中心 北京合作创新国际科技服务中心

科技资讯

影响因子:0.51
ISSN:1672-3791
年,卷(期):2024.22(1)
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