石油勘探开发知识管理技术研究与应用  

Research on the knowledge management technique for petroleum exploration and development and its application

作　　者：刘万伟[1] 刘瑞超[1] 张鸣歌 LIU Wanwei;LIU Ruichao;ZHANG Mingge(Exploration and Development Research Institute of Daqing Oilfield Co Ltd,Daqing 163712,China)

机构地区：[1]大庆油田有限责任公司勘探开发研究院

出　　处：《大庆石油地质与开发》2019年第5期290-293,共4页Petroleum Geology & Oilfield Development in Daqing

摘　　要：随着信息技术迅猛发展,特别是大数据与机器学习等前沿技术,对整个石油行业信息应用变革产生了深远的影响。油田信息应用模式开始向全量数据、全面感知、集成协同、预警预测、知识管理、认知计算方向演进。针对油田知识管理体系的建立,围绕富文本处理、关键技术、底层支撑提供一种新思路,以更简单、更有效的应用模式挖掘出海量数据价值,为勘探开发生产提供知识服务。With the rapid development of information techniques,especially the cutting-edge techniques such as big data,machine learning and so on,the information application change of the entire petroleum industry has been profoundly influenced.The oilfield information applying models began to evolve toward full-scale data,comprehensive perception,integrated collaboration,early warning prediction,knowledge management and cognition computing.In the light of the establishment of the oilfield knowledge management system,focusing on the rich text processing,key techniques as well as the base support,a new idea was provided,so as to tap and dig the value of the massive data in more simple and efficient applying modes,and moreover provide the knowledge services for the exploration,development and production.

关 键 词：知识管理 搜索引擎 知识问答 油田 知识图谱 

分 类 号：TE319[石油与天然气工程—油气田开发工程]