基于CBR的井下复杂情况与事故智能诊断和处理系统  

Intelligent diagnosis and process system case-based reasoning for drilling complex circs and accident

作　　者：高晓荣[1] 徐英卓[2] 李琪[1] 

机构地区：[1]西安石油大学石油工程学院,西安710065 [2]西安石油大学计算机学院,西安710065

出　　处：《计算机应用研究》2008年第5期1446-1449,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(50474041);陕西省教育厅科研项目(05JK284)

摘　　要：分析了传统的钻井事故诊断与处理专家系统的不足,根据钻井专家决策时的认知过程,基于实例推理技术开发了井下复杂情况与事故智能诊断和处理系统。该系统收集了各油田已发生的各种复杂的事故实例,具有自学习功能,能实现各种复杂情况与事故的诊断和处理,并提供完整的有关复杂事故预防和处理的知识手册,可为钻井专家、技术人员提供决策支持。对系统的总体结构、工作流程以及系统实现的主要技术包括实例表示、实例库组织、实例检索和自学习等进行了详细描述。The lack of traditional expert systems was analyzed. According to drilling experts＇ cognitive process in decisionmaking, an intelligent diagnosis and process system of drilling complex tires and accidents was developed by the technology of case-based reasoning. All kinds of accident＇ s cases occurred in oil fields were collected. The system with self-study could realize the diagnosis and process for all kinds of accidents, and provided an intact knowledge handbook of preventing and process accidents, so it could offer decision-making support for drilling experts and technicians. The system＇ s architecture, work flow and realization technology including case expression, organizing, searching were described.

关 键 词：复杂情况与事故 智能 诊断和处理 基于实例推理 实例检索 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置]