Research on the Early Intelligent Warning System of Lost Circulation Based on Fuzzy Expert System

Abstract

The reasons for the drilling process such as getting fuzzy, incomplete or uncertain information, and the lack of adjacent well data, it is difficult for the lost circulation warning to establish an accurate mathematical model by use of the traditional method or establish intelligent model based on sample information. Therefore, an intelligent method for the early warning of lost circulation in well drilling based on fuzzy expert system is proposed in this paper, and the corresponding early warning software system is developed. First of all, the system inputs the experience and knowledge of experts into the fuzzy rule base, and uses the fuzzy production rules to represent knowledge, at the same time lost circulation characteristic parameters are fuzzified, and then combined with the fuzzy inference machine to resolve the problem by reasoning, so as to realize the intelligent early warning of lost circulation. Finally, the system is tested by field data. The results show that the warning method can meet the requirements of field application, and can effectively improve the accuracy and intelligent level of the early lost circulation warning.