钻井异常状态实时监测与智能决策系统的研究  

RESEARCH ON REAL-TIME MONITORING AND INTELLIGENT DECISION SYSTEM OF THE ABNORMAL PROBLEM DURING DRILLING OPERATION

作　　者：郭建明[1] 李云峰[1] 韩朝晖[1] 

机构地区：[1]西安石油大学石油工程学院

出　　处：《钻采工艺》2008年第2期32-35,7,共4页Drilling & Production Technology

基　　金：国家自然科学基金重大项目(编号:50234030);国家自然科学基金项目(编号:50474041);陕西省教育厅专项科研计划的资助(编号:06JK205)

摘　　要：提出一个新型的钻井异常状态实时监测与智能决策系统模型,该模型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,提出了由领域层、推理层和任务层组成的知识模型,提出基于本体的安全优化钻井领域知识构架,提出在井场局域网及其与基地、总部连接的远程网络环境下,利用多智能体的协同监控实时钻井异常状况的系统模型。A Seal-time Monitosing and Intelligent Decision System in the abnormal problem during drilling operation was presented.The model integrated the management of drilling engineering information and real-time monitored drilling parameters and the intelligent decision support techniques,the knowledge model constituted by the domain knowledge and reasoning knowledge and task knowledge was presented,and Ontology based knowledge frame on drilling safety and optimization was put forward.The system can be used for the monitoring,recognition,forecast,diagnosis,prevention and treatment of abnormal drilling problem during each of the planning,drilling and post-well analysis of the well,and actualize the objective of drilling safety and optimization.

关 键 词：钻井异常状态 钻井信息 实时监控 智能决策 

分 类 号：TE271[石油与天然气工程—油气井工程]