Research and Application of Knowledge Decision Method for Optimal and Fast Drilling in Emergency Rescue Wells

Abstract

The efficiency of coal mine emergency rescue work is limited by the professionalism of decision-making, the efficiency of rescue team formation and the rate of resource mobilization. Knowledge sharing and inheritance have important reference meanings for improving the efficiency and success of rescue work. In order to improve the efficiency of rescue work, this article builds A knowledge base that meets the needs and research on key content[1]. This article first analyzes the knowledge engineering, knowledge representation and knowledge storage of emergency rescue well drilling; secondly, based on the analysis of the emergency rescue well work flow, it classifies the knowledge of fast drilling, and studies the knowledge expression based on ontology[2]. Construct the ontology model of knowledge and establish the knowledge base; then, in view of the shortcomings in the current knowledge retrieval, apply the full-text search to the retrieval of the fast drill-in knowledge, construct the retrieval model and design the index structure of the knowledge base, on this basis The ranking of knowledge retrieval is optimized. Finally, combine the retrieved knowledge and follow the emergency rescue process to form a set of decision-making plans. Through the application of the case study in this article, it is shown that the standardized management of the knowledge of excellent and fast drilling in emergency rescue wells is realized, the speed and quality of the acquisition of knowledge of excellent and fast drilling are improved, and the efficiency and professionalism of decision-making are improved.