摘要
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。
Aiming at the application requirements of the archives knowledge achievement of oil-gas field enterprises,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 application of more intelligent technologies in oil and gas fields,and help the digital and intelligent transformation of the field.
作者
张月
李宇新
梁学敏
ZHANG Yue;LI Yuxin;LIANG Xuemin(Exploitation&Development Institute,PetroChina Coalbed Methane Co.,Ltd.,Beijing,100028 China;Xinzhou Gas Production Management Zone of PetroChina Coalbed Methane Co.,Ltd.,Taiyuan,Shanxi Province,030000 China)
出处
《科技资讯》
2024年第1期253-256,共4页
Science & Technology Information
关键词
油田工程技术
煤层气
知识图谱
智能检索
档案管理
Oilfield engineering technology
Coal bed gas
Knowledge graph
Intelligent retrieval
Archives management
