Finding Meaning, Application for the Much-Discussed “Digital Twin”
Abstract
Among the many buzzy, digitally related words or terms bandied about the industry over the past year or two, “digital twin” serves as something of a confluence of them all. Populating many industry conference agendas are high-level presentations and discussions with descriptors such as digitization, digitalization, digital transformation, and the digital disruption, which involve big data, data analytics, advanced analytics, artificial intelligence (AI), machine learning, automation, the Internet of Things (IoT), and the ever-important, abundantly abstract cloud. Some of those terms are used rather broadly and inter-changeably, leading many to wonder: What exactly are we talking about here? The definition of a digital twin is similarly less finite, but it is rather easy to conceptualize at a basic level. The technology links the physical world with the digital world, providing a digital model of a physical asset or process. It serves as a real-time data hub for its owner, allowing for reference to designed or expected performance and continuous offsite monitoring. Roots of the idea can be traced back to a similarly challenging sector that is tasked with exploring and operating in harsh environments normally inaccessible by humans. Successful space travel requires complex modeling and simulations, which NASA for decades has employed from its field centers on the ground. Michael Grieves, currently executive director of Florida Institute of Technology, brought the term to the fo…
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Large data sets spanning different object features are difficult to manage without emphasizing the importance of specific data.
“Large data sets spanning different object features are difficult to manage without an emphasis on the importance of specific data [143].”
From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [143]
Some industries are interested in the concept and looking for potential applications, checking costs and applicability, or considering how to cope with data collection and usage.
“Some industries are interested in the concept and looking for potential applications [199], or checking the costs and applicability of the concept [200], or considering how to cope with data collection and usage [201].”
From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [199]
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- Authors
- Zborowski, M.
- Affiliations
- JPT Technology Writer
- Corresponding author
- Zborowski, Matt
- Venue
- Journal of Petroleum Technology
- Publisher
- Society of Petroleum Engineers (SPE)
- Published
- 2018-06-01
- Volume
- 70
- Issue
- 06
- Pages
- 26-32
- ISSN
- 0149-2136 (ISSN-L)
- 1944-978X
- OpenAlex
- W2806547533
- Cited by
- 28
- References
- 0
- Citations by year
- 2025: 1 · 2024: 5 · 2023: 7 · 2022: 2 · 2021: 4 · 2020: 6 · 2019: 1 · 2018: 2
- FWCI
- 2.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Petroleum Technology (publishedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Building and Construction › BIM and Construction Integration
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Applied Advanced Technologies
- Keywords
- digital twin, oil and gas industry, digital transformation, building information modeling, real-time monitoring, upstream operations, Internet of Things, digitalization
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