Application and practice of industrial IoT cloud platform in oilfield intelligent transformation

Abstract Under the context of global energy transformation and low-carbon development, the traditional petroleum industry is facing a series of challenges such as technological innovation, market competition, environment protection, etc. Therefore, there is an urgent demand to realize green, safe, economical, and efficient development of oil and gas through oilfield intelligent transformation. This study develops a novel cloud platform covering the whole business based on the technical architecture of the industrial Internet of Things (IoT) for assisting the intelligent transformation of oilfields. Since the application of the IoT-based cloud platform in Qingcheng Oilfield, functions such as automatic collection of whole-domain data, remote monitoring, early warning, as well as intelligent analysis and decision-making have been realized. Furthermore, compared with the traditional platform, the new platform has improved eight indicators, such as data processing efficiency and sharing capacity, by more than 20%. Consequently, the developed IoT-based cloud platform can significantly improve the production and management level of the oilfield, and efficiently support oilfield intelligent transformation.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-10-01
DOI
https://doi.org/10.1088/1742-6596/2874/1/012004
Primary Topic
Advanced Computational Techniques and Applications
Type
article
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Application and practice of industrial IoT cloud platform in oilfield intelligent transformation

Simin Nie, Xuan Li, Zhengqi Nan, Zhen-Xi Huang et al.
Journal of Physics Conference Series
Advanced Computational Techniques and Applications
article

Application and practice of industrial IoT cloud platform in oilfield intelligent transformation

Simin Nie, Xuan Li, Zhengqi Nan, Zhen-Xi Huang, Honghong Li, Zhao Hui, Hongxing Ma
article en

Abstract

Abstract Under the context of global energy transformation and low-carbon development, the traditional petroleum industry is facing a series of challenges such as technological innovation, market competition, environment protection, etc. Therefore, there is an urgent demand to realize green, safe, economical, and efficient development of oil and gas through oilfield intelligent transformation. This study develops a novel cloud platform covering the whole business based on the technical architecture of the industrial Internet of Things (IoT) for assisting the intelligent transformation of oilfields. Since the application of the IoT-based cloud platform in Qingcheng Oilfield, functions such as automatic collection of whole-domain data, remote monitoring, early warning, as well as intelligent analysis and decision-making have been realized. Furthermore, compared with the traditional platform, the new platform has improved eight indicators, such as data processing efficiency and sharing capacity, by more than 20%. Consequently, the developed IoT-based cloud platform can significantly improve the production and management level of the oilfield, and efficiently support oilfield intelligent transformation.

Journal of Physics Conference SeriesVol. 2874(1)
Hebei University of Technology (CN), Daqing Oilfield General Hospital (CN), Hebei Petroleum University of Technology, China National Petroleum Corporation (China) (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 83%
Advanced Computational Techniques and Applications
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Application and practice of industrial IoT cloud platform in oilfield intelligent transformation — Simin Nie, Xuan Li, et al. · Journal of Physics Conference Series (2024) | TGRS Research Map | TGRS