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Tools, Technologies and Frameworks for Digital Twins in the Oil and Gas Industry: An In-Depth Analysis
Edwin Benito Mitacc Meza1, Dalton Garcia Borges de Souza1, Alessandro Copetti1
1Institute of Science and Technology, Fluminense Federal University, Rio das Ostras 28895-532, Brazil.
Sensors (Basel, Switzerland)
|October 16, 2024
Summary
This systematic literature review examines digital twin (DT) development in the oil and gas (O&G) industry. It identifies trends, opportunities, and best practices for creating virtual replicas of physical assets to optimize operations and decision-making.
Area of Science:
- Engineering and Technology
- Computer Science
Background:
- Digital twins (DTs) offer transformative potential for managing complex operations in the oil and gas (O&G) industry.
- Current DT development tools and frameworks in O&G are non-standardized and require further exploration.
Purpose of the Study:
- To conduct a systematic literature review (SLR) of digital twin (DT) development in the oil and gas (O&G) sector from 2018 onwards.
- To provide a comprehensive overview of the evolving field, identify standard practices, and highlight research opportunities.
Main Methods:
- Systematic literature review of 98 studies from Scopus and Web of Science Core Collection.
- Classification of studies based on DT development methodologies, objectives, data handling, and deployment.
- Bibliometric analysis to identify trends and key contributors.
Main Results:
- Categorization of DTs across development methodologies, implementation objectives, data acquisition, asset digital development, data integration, analysis, validation, and deployment tools.
- Identification of current trends and key contributors in O&G digital twin research.
- Mapping of research opportunities within the digital twin development landscape for O&G.
Conclusions:
- The study provides guidance for developing digital twins in the oil and gas industry.
- It aims to promote knowledge production and growth in this rapidly advancing field.
- Standardization of tools and frameworks is crucial for wider adoption and effectiveness.
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