期刊文献+

大数据在辽河油田开发转型的应用展望

Big Data in the Application Prospect of Liaohe Oilfield Development Transformation
下载PDF
导出
摘要 随着计算机数字化技术和电子通信技术的快速发展,当前我国新媒体行业出现大数据不断发展的趋势,在加快企业运行速度、提高员工办公效率以及保障企业信息安全性方面具有非常重要的作用。油田开发产业作为我国经济结构重要的基础性产业,不仅影响我国经济整体走向,还与人民群众的生活息息相关,面对当前全球化国际形式以及新的社会主义经济目标的要求,油田开发产业应积极转型,在企业运营过程中使用大数据来提高企业管理水平。本文将分析辽河油田开发转型的意义,以及大数据在辽河油田生产管理中的应用情况,阐述大数据在辽河油田转型过程中所起的作用。 Along with the computer rapid development of digital technology and electronic communications technology, At present, China’s new media industry appeared the trend of the development of the large data continuously, in speed up the enterprise operation and improve the efficiency of office staff and guarantee the information security has a very important role. Oilfield development industry as an important basic industry of our country economy structure,not only affect our country economy as a whole, also is closely related to people’s life, Facing the current international situation of globalization and to meet the requirements of new socialist economic goals, Oilfield development industry should actively transformation, in the process of enterprise operation use big data to improve the level of enterprise management.This article will analyze the significance of transformation of liaohe oilfield development,and Big data in the application of the liaohe oilfield production management. Big data in liaohe oilfield’s role in the process of transformation.
作者 罗丹 LUO Dan(Information engineering branch of petrochina liaohe oilfield company, Liaoning Panjinshi, 124010, China)
出处 《数码设计》 2018年第4期3-5,共3页 Peak Data Science
关键词 大数据 油田开发 转型 作用 Big Data oil field exploration transformation role
  • 相关文献

参考文献3

二级参考文献27

  • 1GILBERT S, LYNCH N. Brewer's Conjecture and the Feasibility of Consistent, Available, Partition-Tolerant Web Services [J]. Sigact Newsletter, 2002, 33 (2): 51- 59.
  • 2VOGELS W. Eventually Consistent [J].. Queue, 2008, 6 (6) : 14-19.
  • 3FAY Chang, JEFFREY Dean, SANJAY Ghemawat, et al. A Distributed Storage System for Structured Data [C] //In Proceedings of the 7^th USENIX Symposium on Operating Systems Design and Implementation (OSDI'06). USA: USENIX Association, 2006: 205-218.
  • 4DAVID Karger, ERIC Lehman, TOM Leighton, et al. Consistent Hashing and Random Trees: Distributed Caching Protocols for Relieving Hot Spots on the World Wide Web [C] //Proceedings of the Twenty-Ninth Annual ACM Symposium on Theory of Computing. New York: ACM, 1997: 654-663.
  • 5Wikipedia: NoSQL [EB/OL]. [2010-06-20]. http: //en. Wikipedia. Org/Wiki/NoSQL.
  • 6NoSQL Database [EB/OL]. [2010-06-20], http: //NoSQLNoSQL. Database. Org/.
  • 7Apache Cassandra [EB/OL]. [2010-06-20]. http: //Cassandra. Apache. Org/.
  • 8LAKSHMAN A, MALIK P. Cassandra: Structured Storage System on a P2P Network [C] //Proceedings of the 28th ACM Symposium on Principles of Distributed Computing. Canada: ACM, 2009: 5-5.
  • 9崔涛,冯庆善,杨祖佩,艾慕阳,周利剑,王学力,郑洪龙.新建管道完整性管理理念探索[J].油气储运,2008,27(10):4-8. 被引量:28
  • 10曾庆猛,王冬梅,姚子修,曲京,史浩.中石油A1系统PCEDM数据模型基本实体初步研究[J].勘探地球物理进展,2008,31(6):464-466. 被引量:12

共引文献44

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部