计算机与数字工程2024，Vol.52Issue(2)：622-625,4.DOI:10.3969/j.issn.1672-9722.2024.02.057
基于CBR RBR的推理机在机械比能分析模型中的研究
Research on Inference Engine in Mechanical Specific Energy Model Based on CBR and RBR
李龙 1黄霞 1金铄1
作者信息
- 1. 东北石油大学计算机与信息技术学院 大庆 163318
- 折叠
摘要
Abstract
In order to solve the problems of complex environment,long personnel time-consuming period,lack of comprehen-sive analysis and utilization of data,and uncertainty of mechanical specific energy analysis model when evaluating the physical prop-erties of mud logging reservoirs,the concept of knowledge base is introduced and CBR RBR is used for inferring and decision-mak-ing.Combining logging expertise,a case database and a rule database are established for different exploration situations,this hybrid inference method is used to retrieve cases in the case database that are more similar to the current situation.An efficient mechanical specific energy model is developed to replace the manual selection model,human resources are saved,and knowledge-driven con-cepts to make the model more efficient.The inference structure can be designed according to the needs of on-site personnel,and the efficiency of the model can be improved to greatly meet the needs of reservoir physical property evaluation.关键词
CBR/RBR/知识驱动/知识库/推理机Key words
CBR/RBR/knowledge-driven/knowledge base/inference engine分类
信息技术与安全科学引用本文复制引用
李龙,黄霞,金铄..基于CBR RBR的推理机在机械比能分析模型中的研究[J].计算机与数字工程,2024,52(2):622-625,4.
