基于潜在语义以及关键字的油气田工程智能知识信息检索方法  

Intelligent Knowledge Information Retrieval Method for Oil and Gas Field Engineering Based on Potential Semantics and Keywords

作　　者：朱金智[1] 陈凯枫 赵力[1] 曾努[1] 何军[1] 许彦明 ZHU Jinzhi;CHEN Kaifeng;ZHAO Li;ZENG Nu;HE Jun;XU Yanming(Petrochina Tarim Dlifield Company,Korla 8410000,China;Beijing Gridsum Technology Co.,Ltd.,Beijing 100083,China)

机构地区：[1]中国石油天然气股份有限公司塔里木油田分公司,新疆库尔勒841000 [2]北京国双科技有限公司,北京100083

出　　处：《微型电脑应用》2024年第10期126-129,134,共5页Microcomputer Applications

摘　　要：在油气田工程智能知识信息中,有效信息分布结构及其检索目标特征语义分析程度不同的影响,很难在特定条件下完成有效信息的全局检索,且所得检索结果与预期结果偏差较大,严重影响油气田工程智能知识信息分析进度。为了解决这一难题,提出基于潜在语义与关键字对其展开检索方法研究。建立基于潜在语义的油气田工程智能知识信息数据预处理模型,基于模型进行潜在语义分析、关键字信息空间的多重分析、知识信息检索相似度识别,实现高精度检索信息的效果。实验结果表明,提出方法能够有效提升目标信息检索精准度,在检索速率、完整度及检索稳定性方面具有提升优化作用。Due to the influence of different semantic analysis degree of effective information distribution structure and retrieval target characteristics of the intelligent knowledge information of oil and gas field engineering,it is difficult to complete the global retrieval of effective information under specific conditions,and the retrieval results deviate greatly from the expected results,which seriously affects the progress of intelligent knowledge information analysis of oil and gas field engineering.In order to solve this problem,a method is proposed based on potential semantic and keywords.The model carries out potential semantics,the multiple analysis of keyword information space,and the similarity identification to realize knowledge information retrieval with high accuracy.The experimental results show that the proposed method can effectively improve the accuracy of target information retrieval,and optimize in the retrieval rate,completeness and retrieval stability.

关 键 词：潜在语义 关键字 油气田工程 智能知识信息检索 

分 类 号：TM773[电气工程—电力系统及自动化]