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安全优化钻井实时监控智能系统模型及应用
引用本文:郭建明.安全优化钻井实时监控智能系统模型及应用[J].西南石油大学学报(社会科学版),2010,30(6):153-156.
作者姓名:郭建明
作者单位:西安石油大学石油工程学院,陕西 西安 710065
摘    要:将钻井工程信息管理、钻井参数实时采集和智能化决策支持技术集成为一体,设计并实现一个安全优化钻井实时监控智能计算机系统。系统的知识模型由领域层、推理层和任务层组成;知识的表示应用了本体论中的科学方法,建立基于本体的安全优化钻井领域知识构架,对钻井数据、信息、知识进行系统的分析、归纳,实现安全优化钻井知识整合。系统可用于钻井设计、施工、完钻总结阶段的钻井异常问题的检测、识别、预测、诊断、预防和处理,实现安全优化钻井的目标。

关 键 词:安全钻井    优化钻井    智能化    实时监控    知识整合

REALTIME MONITORING AND CONTROLLING INTELLIGENT SYSTEM MODEL FOR DRILLING SAFETY AND OPTIMIZATION AND ITS APPLICATIONGUO Jianming
GUO Jian-ming.REALTIME MONITORING AND CONTROLLING INTELLIGENT SYSTEM MODEL FOR DRILLING SAFETY AND OPTIMIZATION AND ITS APPLICATIONGUO Jianming[J].Journal of Southwest Petroleum University(Social Sciences Edition),2010,30(6):153-156.
Authors:GUO Jian-ming
Institution:College of Petroleum Engineering,Xi′an ShiYou University,Xi′an Shaanxi 710065,China
Abstract:A realtime monitoring and controlling intelligent system for drilling safety and optimization is designed and realized,which integrates the management of drilling engineering information,the realtime monitored drilling parameters and the Intelligent decision support technology.The knowledge model of the system is constituted of the domain knowledge,reasoning knowledge and task knowledge,and knowledge frame on drilling safety and optimization is established by applying Ontologybased scientific method of knowledge abstraction,and the knowledge integration on drilling safety and optimization is realized by the systemic analysis and induction of drilling data,information and knowledge.The system is used to the monitoring,recognition,forecast,diagnosis,prevention and treatment of abnormal drilling problem in each of the planning,drilling and postwell analysis of the well for the objective of drilling safety and optimization.
Keywords:drilling safety                                                                                                                        drilling optimization                                                                                                                        intelligent system                                                                                                                        realtime monitoring and controlling                                                                                                                        knowledge integration
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