Oil and gas 4.0 era: a systematic review and outlook
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The primary target of AI and other digitalization efforts in oil and gas companies is to improve efficiency, typically by accelerating processes and reducing risks.
“their AI's primary target (and other digitalization) efforts are to improve efficiency.In practice, that typically means to accelerate processes and reduce risks [ 8 , 11 , 13 ].”
From Artificial intelligence in oil and gas upstream: Trends, challenges, and scenarios for the future (2021) · cites this paper as [11]
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- Authors
- Lu, H., Guo, L., Azimi, M., & Huang, K.
- Affiliations
- China Electronic Information Industry Development (CN)
- Louisiana Tech University (US)
- Southwest Petroleum University (CN)
- Venue
- Computers in Industry
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 111
- Pages
- 68-90
- ISSN
- 0166-3615 (ISSN-L)
- OpenAlex
- W2963566481
- Cited by
- 312
- References
- 55
- Citations by year
- 2026: 25 · 2025: 45 · 2024: 58 · 2023: 46 · 2022: 51 · 2021: 46 · 2020: 33 · 2019: 8
- FWCI
- 3.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Industry (publishedVersion)
- Funders
- China Scholarship Council
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Data and IoT Technologies
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- Industry 4.0, Industrial Internet of Things, big data, digital transformation challenges, policy recommendations
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