Current status and prospect for the research and application of big data and intelligent optimization methods in oilfield development

Current status and prospect for the research and application of big data and intelligent optimization methods in oilfield development

Big data

Data handling

Gasoline

Information analysis

Learning systems

Machine learning

Metadata

Oil fields

Petroleum industry

In this paper, the current status and research prospect of big data and intelligent optimization methods in oilfield development were reviewed and discussed, including the basic concepts and characteristics of the techniques, the production problems in intelligent oilfields, the application of big data analysis, machine learning methods as well as intelligent optimization. Two major research areas were summarized: forming oilfield big data analysis theories by integrating the data with reservoir engineering methods and constructing intelligent optimization theories collaboratively driven by data and intelligent modeling. Combined with these two research areas, the current research progress and their future development perspectives were discussed. It is concluded that accurately constructing the models and rapid optimization of complex reservoir systems based on big data and physics law is the core of the intelligent oilfield production and development, which is of great significance to promote an intelligent transformation and upgrading of China's petroleum industry. 2020, Editorial Office of Journal of China University of Petroleum(Edition of Natural Science). All right reserved.

28-38

4

44

Zhang, Kai

Zhao, Xinggang

Zhang, Liming

Zhang, Huaqing

Wang, Haochen

Chen, Guodong

Zhao, Mengjie

Jiang, Yunqi

Yao, Jun

Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science)

2020

journalArticle

16735005

10.3969/j.issn.1673-5005.2020.04.004

http://dx.doi.org/10.3969/j.issn.1673-5005.2020.04.004