APPLICATION OF BIG DATA TECHNOLOGY IN FUTURE ENVIRONMENT AND UPGRADING OF OIL INDUSTRY CHAIN

被引:0
|
作者
Liu, Zhen [1 ]
Lei, Yang [2 ]
Chen, Zhuo [3 ]
Yang, Bilian [4 ]
Liang, Huan [5 ]
Liu, Yuhua [6 ]
机构
[1] Sanming Univ, Sch Informat Engn, Sanming 365004, Peoples R China
[2] 203 Res Inst Nucl Ind, Dept Geol Survey Technol & Informat, Xian 710086, Peoples R China
[3] Northeastern Univ, Coll Resources & Civil Engn, Shenyang 110000, Peoples R China
[4] Guangxi Univ, Scbool Business Adm, Xing Jian Coll Scienceand Liberal Arts, Nanning 530000, Peoples R China
[5] Xian Shiyou Univ, Coll Petr Engn, Xian 710065, Peoples R China
[6] Northeast Petr Univ, Sch Petr Engn, Daqing 163319, Peoples R China
来源
FRESENIUS ENVIRONMENTAL BULLETIN | 2022年 / 31卷 / 11期
关键词
Big data; Oil industry; Environment; Data management; Artificial intelligence; Data security;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
At present, the big data industry is developing rapidly in many fields around the world, and it brings opportunities for the transformation and upgradation of the traditional oil industry. The whole oil business chain is of large scale, and there are urgent needs to apply big data technologies to the fields of petroleum exploration and development, transportation, refining,enviroment and other fields. However, the oil big data industry is still in its infancy and has encountered many challenges, including oil data storage and management being not standardized, technical standards being not unified, and security concerns. These issues further lead to the poor data sharing, repeated business deployment within the enterprise and the compromised of the systems. To solve the problems above, this paper proposes the overall architecture for the development of the oil big data industry. The architecture scheme integrates all the data and business of the oil industry chain, which allows the secure data sharing, effective business management and scientific allocation of resources. Therefore, the oil big data solution can provide an important research idea for the dynamic management of production process and industrial business, which improves the overall productivity of oil industry.
引用
收藏
页码:10801 / 10810
页数:10
相关论文
共 50 条
  • [1] APPLICATION OF BIG DATA MINING TECHNOLOGY IN ATMOSPHERIC ENVIRONMENT MONITORING
    Chengyu Zhang
    FRESENIUS ENVIRONMENTAL BULLETIN, 2021, 30 (7A): : 9290 - 9297
  • [2] Big Data Technology and Application
    陈宁
    何婕
    张曼
    科技展望, 2015, 25 (04) : 252 - 252
  • [3] Big Data Value Chain: Multiple Perspectives for the Built Environment
    Hernandez-Moral, Gema
    Mulero-Palencia, Sofia
    Serna-Gonzalez, Victor Ivan
    Rodriguez-Alonso, Carla
    Sanz-Jimeno, Roberto
    Marinakis, Vangelis
    Dimitropoulos, Nikos
    Mylona, Zoi
    Antonucci, Daniele
    Doukas, Haris
    ENERGIES, 2021, 14 (15)
  • [4] The Application of Artificial Intelligence and Big Data in the Food Industry
    Ding, Haohan
    Tian, Jiawei
    Yu, Wei
    Wilson, David I.
    Young, Brent R.
    Cui, Xiaohui
    Xin, Xing
    Wang, Zhenyu
    Li, Wei
    FOODS, 2023, 12 (24)
  • [5] The application of big data network crawler technology for architectural culture and environment protection
    Jian, Zhichao
    Qin, Lichun
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 34 (09)
  • [6] Research on Feasibility Path of Technology Supervision and Technology Protection in Big Data Environment
    Liu Hongling
    2019 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS), 2019, : 293 - 296
  • [7] Advent of Big Data technology in environment and water management sector
    Gohil, Jay
    Patel, Jay
    Chopra, Jay
    Chhaya, Ketul
    Taravia, Jimmy
    Shah, Manan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (45) : 64084 - 64102
  • [8] The Application of Data Mining Technology to Big Data
    Wang, Jinlong
    Liu, Jing
    Higgs, Russell
    Zhou, Li
    Zhou, Chuanai
    2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) AND IEEE/IFIP INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (EUC), VOL 2, 2017, : 284 - 288
  • [9] Advent of Big Data technology in environment and water management sector
    Jay Gohil
    Jay Patel
    Jay Chopra
    Ketul Chhaya
    Jimmy Taravia
    Manan Shah
    Environmental Science and Pollution Research, 2021, 28 : 64084 - 64102
  • [10] USING BIG DATA TECHNOLOGY TO PROTECT THE ENVIRONMENT
    Dovgal, Vitaly A.
    Kuizheva, Saida K.
    RUSSIAN JOURNAL OF EARTH SCIENCES, 2022, 22 (05):