Research and Application of Big Data Analysis Platform for Oil Production Engineering in Huabei Oilfield

被引：0

作者：

Wang Yuanting ^{[1
]}

Zhang Zhanmin ^{[1
]}

Du Lihong ^{[1
]}

Xie Weiyi ^{[1
]}

Min Guizhi ^{[1
]}

Zhang Dengwen ^{[1
]}

Li Yun ^{[1
]}

Yang Bo ^{[2
]}

Wu Jiaheng ^{[3
]}

Yu Limin ^{[4
]}

机构：

[1] PetroChina, Huabei Oilfield Co, Engn Technol Res Inst, Renqiu, Peoples R China

[2] PetroChina, Changqing Oilfield Co, Oil Prod Plant 5, Xian, Shaanxi, Peoples R China

[3] PetroChina, Huabei Oilfield Co, Oil Prod Plant 1, Renqiu, Peoples R China

[4] PetroChina, Huabei Oilfield Co, Sci & Technol Informat Div, Renqiu, Peoples R China

来源：

2019 4TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS (ICBDA 2019) | 2019年

关键词：

big data analysis; energy consumption; system efficienc; oilfield production;

D O I：

10.1109/icbda.2019.8713238

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Big data analysis technology can be used to transform massive data of oil production engineering into knowledge that can be used to guide oilfield production. Due to the lack of suitable large data analysis tools, a large data analysis software system was developed to simplify the workload of data analysis. This paper illustrates the research and application of large energy consumption data analysis through the development of big data analysis methods, process improvement and software platform, then achieves the goal of reducing costs and improving efficiency.

引用

页码：148 / 151

页数：4

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