Digital Twins in Oil and Gas-Thematic Research

Digital Twins in Oil and Gas-Thematic Research

  • GlobalData
  • April 2021
  • Energy
  • 57 pages

Report Description


Digital twins are digital representations of physical assets, systems, or processes. They help to detect, prevent, predict, and optimize the physical environment through the use of artificial intelligence (AI), real-time analytics, visualization, and simulation tools.

The oil and gas industry, which is traditionally a laggard in the adoption of connected technologies, is increasingly deploying digital twins to improve decision-making. Companies have started to build models that would provide answers to what-if or what-will questions.

It is helping the project engineers to improve their understanding of the asset, thereby enabling them to optimize its performance as per the market requirements.


  • Overview of digital twins as a theme across various industries, with special focus on its impact on the oil and gas industry.
  • Detailed analysis of the emerging use cases for digital twins within oil and gas operations.
  • A brief overview of the major application areas for digital twins in the oil and gas industry.

Reasons to Buy

  • Understand the importance of adopting digital twins in oil and gas operations in achieving sustainability and competitiveness.
  • Identify the key trends and applications for digital twins theme.
  • A review of some of the case studies highlighting potential of digital twins in addressing complex business problems.
  • Identify and benchmark key oil and gas companies based on their exposure to digital twins theme.

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Table of Contents

Executive summary
Impact on the oil and gas industry
Case studies
Technology briefing
Oil and gas trends
Technology trends
Macroeconomic trends
Regulatory trends
Industry analysis
Use cases
Mergers and acquisitions
Value chain
Physical layer
Connectivity layer
Data layer
Platform layer
App layer
Sector scorecards
Integrated oil and gas companies scorecard
Further reading
Our thematic research methodology
About GlobalData
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