摘要
石油的发展关系到国家的工业化水平和国际竞争力,系统梳理石油领域的发展态势以及研究热点,可以为石油研究领域学者和机构提供科研依据和战略参考。以Web of Science核心合集数据库为数据源,从论文产出、研究机构、核心作者、研究热点等角度对2008-2018年全球石油工程的文献数据进行了文献计量学可视化分析。结果表明:近10年石油工程的发文量呈现增加趋势,论文发表集中在中国、美国和俄罗斯等国家;目前该领域研究热点为提高采收率、水力压裂、非常规油气资源、重油开发、油藏数值模拟以及原油脱硫等方面;而机器学习和非常规油气藏开发将是该领域未来的研究前沿。该研究结果可为石油工程领域科研人员和科研机构把握领域走向、洞悉未来研究热点等提供科研参考。
The development of petroleum energy is related to a country s industrialization level and international competitiveness.Analyzing the development trend and research hotspot of petroleum engineering can provide scholars and institution with scientific research basis and strategic reference.Taking the Web of Science as the data source,this paper employed bibliometrics method to visual analysis the relevant documents published in the period of 2008 to 2018 from the perspectives of publication volume,major research institutions,core authors and research hotspots.The results show that the number of documents issued has been increasing in the past decade.Publications mainly originate from countries such as China,the United States of America and Russia.Currently research in this sector focuses mainly on enhanced oil recovery,hydraulic fracturing,heavy oil development,unconventional oil and gas resources,reservoir numerical simulation,and crude oil desulfurization.Machine learning and unconventional reservoir development will be the research frontier of oil and gas engineering in the future.The study provides reference for scientific research personnel and institute in the field of oil engineering to hold the development trend and understand the future research focus.
作者
李美凝
赵雄虎
景民昌
王飞
Li Meining;Zhao Xionghu;Jing Minchang;Wang Fei(China University of Petroleum(Beijing).Library,Beijing,102249,China;China University of Petroleum(Beijing).College of Petroleum Engineering,Beijing,102249,China)
出处
《天然气与石油》
2020年第5期124-132,共9页
Natural Gas and Oil
基金
中国石油大学(北京)研究生质量与创新工程重点项目“一流大学建设高校专利布局与一流学科匹配度研究分析”(YJS 2019022)
中国石油大学(北京)“研究生教育质量与创新工程”项目“中国石油(北京)教师国际合作情况及其贡献研究”(YJS 2016044)。
作者简介
李美凝(1987-),女,陕西宝鸡人,中级馆员,硕士,从事石油情报分析工作。E-mail:limeining@cup.edu.cn。
