Application status and prospect of big data and artificial intelligence in oil and gas field development

Title

Application status and prospect of big data and artificial intelligence in oil and gas field development

Subject

Artificial intelligence
Petroleum industry
Gasoline
Big data
Gas industry
Proven reserves
Water pollution

Description

The application of big data and artificial intelligence (AI) technology has caused subversive changes to society and industry. As the life-blood of our industry, petroleum is an important material basis for promoting national economy and industrial modernization. However, with the continuous exploitation of mature resources, it is more and more difficult to exploit the remaining petroleum reserve. There are many challenges, such as poor quality of oil produced and with high water cut, low oil price and environmental pollutions. Therefore, the big data and AI technology are expected to play an important role in oil and gas exploitation and development. In this paper, the current application of the big data and AI in oil and gas field development was reviewed, and the existing problems and challenges were analyzed, in which the construction objectives and modes, the key links and core contents of intelligent oil and gas fields were discussed. The key technologies need to be developed based on the current circumstances of the China petroleum & chemical company are put forward for further research. 2020, Editorial Office of Journal of China University of Petroleum(Edition of Natural Science). All right reserved.
1-11
4
44

Creator

Li, Yang
Lian, Peiqing
Xue, Zhaojie
Dai, Cheng

Publisher

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

Date

2020

Type

journalArticle

Identifier

16735005
10.3969/j.issn.1673-5005.2020.04.001

Citation

Li, Yang et al., “Application status and prospect of big data and artificial intelligence in oil and gas field development,” Lamar University Midstream Center Research, accessed May 4, 2024, https://lumc.omeka.net/items/show/29373.

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