测井处理解释领域知识图谱构建方法研究

Research on Knowledge Graph Construction for Logging Process and Interpretation Domain

为了解决测井处理解释领域数据存储分散、信息共享困难和数据间缺乏良好管理与组织的问题,进一步提高测井解释知识的利用率和共享程度,在研究测井处理解释业务流程基础上引入知识图谱技术,提出了一种测井处理解释领域知识图谱的构建方法。以测井处理解释为核心,结合测井解释领域知识特点,重点对测井处理解释的业务流程进行研究分析。以知识图谱的构建为主体,通过知识抽取、知识融合和知识推理等技术,将测井处理解释领域中分散、隐形、不规范状态的大量知识和经验进行梳理,构建了测井处理解释领域知识图谱。并采用混合构建方式,结合信息抽取和知识融合等关键技术完成了测井处理解释领域知识图谱的构建,在Neo4j图数据库中进行存储并对其进行可视化展示。该方法将知识图谱与测井处理解释流程紧密联系,为测井处理解释领域知识图谱构建提供了一种新思路。

In order to solve the problems of scattered data storage,difficulty in information sharing and lack of good management and organization between data in the field of logging processing and interpretation,and further improve the utilization rate and sharing degree of logging interpretation knowledge,we introduce knowledge graph technology based on study of the business process of logging processing and interpretation and propose a method for constructing knowledge graph in the field of logging processing and interpretation.Taking logging processing and interpretation as the core,combined with the characteristics of knowledge in the field of logging interpretation,we focus on the research and analysis of the business process of logging processing and interpretation.With the construction of knowledge graph as the main body,using knowledge extraction,knowledge fusion and knowledge reasoning and other related technologies,a large amount of knowledge and experience of scattered,invisible and irregular states in the interpretation field are sorted out,and a knowledge graph of logging processing and interpretation field is constructed.The construction of the knowledge graph in the field of logging processing and interpretation is completed by the hybrid construction method,combined with key technologies such as knowledge extraction and knowledge fusion,which are stored in the Neo4j graph database and displayed visually.This method closely links the knowledge graph with the logging processing and interpretation process,and provides a new idea for the construction of knowledge graphs in the field of logging processing and interpretation.