Research on Inference Engine in Mechanical Specific Energy Model Based on CBR and RBR
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.
国家科技期刊平台
NSTL
万方数据
